Index (Stanford JavaNLP API)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

aboveLineSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
absoluteDifference(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns |c1 - c2|.
absolutelyDiscountedDistribution(Counter<E>, int, double) - Static method in class edu.stanford.nlp.stats.Distribution
AbstractCachingDiffFunction - Class in edu.stanford.nlp.optimization: A differentiable function that caches the last evaluation of its value and derivative.
AbstractCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
AbstractCollinsHeadFinder - Class in edu.stanford.nlp.trees: A base class for a HeadFinder similar to the one described in Michael Collins' 1999 thesis.
AbstractCollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Construct a HeadFinder.
AbstractCounter<E> - Class in edu.stanford.nlp.stats: Default implementations of all the convenience methods provided by Counter.
AbstractCounter() - Constructor for class edu.stanford.nlp.stats.AbstractCounter
AbstractDataset - Class in edu.stanford.nlp.trees.treebank
AbstractDataset() - Constructor for class edu.stanford.nlp.trees.treebank.AbstractDataset
AbstractDataset.SplitFilter - Class in edu.stanford.nlp.trees.treebank
AbstractDataset.SplitFilter(Set<String>) - Constructor for class edu.stanford.nlp.trees.treebank.AbstractDataset.SplitFilter
AbstractDependencyGrammar - Class in edu.stanford.nlp.parser.lexparser: An abstract base class for dependency grammars.
AbstractDependencyGrammar(TreebankLanguagePack, TagProjection, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
AbstractEval - Class in edu.stanford.nlp.parser.metrics: A framework for Set-based precision/recall/F1 evaluation.
AbstractEval() - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval(boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval.CatErrorEval - Class in edu.stanford.nlp.parser.metrics: This class counts which categories are over and underproposed in trees.
AbstractEval.CatErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
AbstractEval.RuleErrorEval - Class in edu.stanford.nlp.parser.metrics
AbstractEval.RuleErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
AbstractEval.ScoreEval - Class in edu.stanford.nlp.parser.metrics: This isn't really a kind of AbstractEval: we're sort of cheating here.
AbstractEval.ScoreEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
AbstractIterator<E> - Class in edu.stanford.nlp.util: Iterator with remove() defined to throw an UnsupportedOperationException.
AbstractIterator() - Constructor for class edu.stanford.nlp.util.AbstractIterator
AbstractListProcessor<IN,OUT,L,F> - Class in edu.stanford.nlp.process: Class AbstractListProcessor
AbstractListProcessor() - Constructor for class edu.stanford.nlp.process.AbstractListProcessor
AbstractTokenizer<T> - Class in edu.stanford.nlp.process: An abstract tokenizer.
AbstractTokenizer() - Constructor for class edu.stanford.nlp.process.AbstractTokenizer
AbstractTreebankLanguagePack - Class in edu.stanford.nlp.trees: This provides an implementation of parts of the TreebankLanguagePack API to reduce the load on fresh implementations.
AbstractTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Gives a handle to the TreebankLanguagePack.
AbstractTreebankLanguagePack(char) - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Gives a handle to the TreebankLanguagePack.
AbstractTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: An abstract class providing a common method base from which to complete a TreebankLangParserParams implementing class.
AbstractTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Stores the passed-in TreebankLanguagePack and sets up charset encodings.
AbstractTreebankParserParams.AnnotatePunctuationFunction - Class in edu.stanford.nlp.parser.lexparser: Annotation function for mapping punctuation to PTB-style equivalence classes.
AbstractTreebankParserParams.AnnotatePunctuationFunction(String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
AbstractTreebankParserParams.RemoveGFSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser: The job of this class is to remove subcategorizations from tag and category nodes, so as to put a tree in a suitable state for evaluation.
AbstractTreebankParserParams.RemoveGFSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
AbstractTreebankParserParams.SubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser: The job of this class is to remove subcategorizations from tag and category nodes, so as to put a tree in a suitable state for evaluation.
AbstractTreebankParserParams.SubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
AbstractTreeExtractor<T> - Class in edu.stanford.nlp.parser.lexparser: An abstract superclass for parser classes that extract counts from Trees.
AbstractTreeExtractor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
AbstractUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
AbstractUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
accept(File) - Method in class edu.stanford.nlp.io.ExtensionFileFilter: Checks whether a file satisfies the selection filter.
ACCEPT - Static variable in interface edu.stanford.nlp.io.Lexer
accept(File) - Method in class edu.stanford.nlp.io.NumberRangeFileFilter: Checks whether a file satisfies the number range selection filter.
accept(File) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter: Checks whether a file satisfies the number range selection filter.
accept(String) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter: Checks whether a String satisfies the number range selection filter.
accept(Tree) - Method in class edu.stanford.nlp.parser.dvparser.FilterConfusingRules
accept(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter: Doesn't accept nodes that are A over A nodes (perhaps due to empty removal or are EDITED nodes).
accept(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter: Doesn't accept nodes that only cover an empty.
accept(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
accept(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
accept(Tree) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
accept(Tree) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer.FrenchAOverAFilter: Doesn't accept nodes that are A over A nodes (perhaps due to empty removal or are EDITED nodes).
accept(Tree) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer.HebrewEmptyFilter
accept(Tree) - Method in class edu.stanford.nlp.trees.LengthTreeFilter
accept(File) - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset.SplitFilter
accept(Tree) - Method in class edu.stanford.nlp.trees.TreeFilters.HasMatchingChild
accept(String) - Method in class edu.stanford.nlp.util.ArrayStringFilter
accept(T) - Method in interface edu.stanford.nlp.util.Filter: Checks if the given object passes the filter.
accept(T) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
accept(T) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
accept(E) - Method in class edu.stanford.nlp.util.Filters.RandomFilter
acceptFilter() - Static method in class edu.stanford.nlp.util.Filters: The acceptFilter accepts everything.
activate(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
activeFeatures - Variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
adapt() - Static method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor
add(V, V, E) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: adds vertices (if not already in the graph) and the edge between them
add(V, V, E) - Method in interface edu.stanford.nlp.graph.Graph: Adds vertices (if not already in the graph) and the edge between them.
add(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
add(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
add(E) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Unsupported Operation.
add(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Adds an Object to the underlying Collection of input sources.
add(double, double[], double[], int, double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
add(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
add(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
add(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
add(Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
add(E) - Method in class edu.stanford.nlp.util.ArrayHeap: Adds an object to the heap.
add(E) - Method in class edu.stanford.nlp.util.ArraySet: Adds element to set.
add(T) - Method in class edu.stanford.nlp.util.Beam
add(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Adds an object to the queue with the minimum priority (Double.NEGATIVE_INFINITY).
add(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Convenience method for if you want to pretend relaxPriority doesn't exist, or if you really want add's return conditions.
add(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Adds the value to the Collection mapped to by the key.
add(K, V) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
add(E) - Method in class edu.stanford.nlp.util.DeltaIndex
add(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Adds a key to the queue with the given priority.
add(E) - Method in class edu.stanford.nlp.util.HashIndex: Adds an object to the Index.
add(E) - Method in interface edu.stanford.nlp.util.Heap: Adds the object to the heap.
add(E) - Method in class edu.stanford.nlp.util.IdentityHashSet: Adds the specified element to this set if it is not already present.
add(E) - Method in interface edu.stanford.nlp.util.Index
add(int) - Method in class edu.stanford.nlp.util.IntUni
add(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue: Convenience method for if you want to pretend relaxPriority doesn't exist, or if you really want add's return conditions.
add(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Unsupported Operation.
addAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Adds all Objects in Collection c to the underlying Collection of input sources.
addAll(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Not yet implemented.
addAll(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Not yet implemented.
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.AbstractCounter: Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter: Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) - Method in interface edu.stanford.nlp.stats.Counter: Adds the counts in the given Counter to the counts in this Counter.
addAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Adds the counts in the given Counter to the counts in this Counter.
addAll(TwoDimensionalCounterInterface<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
addAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
addAll(TwoDimensionalIntCounter<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
addAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
addAll(int, Collection<? extends Tree>) - Method in class edu.stanford.nlp.trees.MemoryTreebank
addAll(Collection<T>, Iterable<? extends T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Add all the items from an iterable to a collection.
addAll(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Adds the values to the Collection mapped to by the key.
addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Adds all of the mappings in m to this CollectionValuedMap.
addAll(CollectionValuedMap<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap: Adds all of the mappings in m to this CollectionValuedMap.
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.DeltaIndex
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.HashIndex: Adds every member of Collection to the Index.
addAll(Collection<? extends E>) - Method in interface edu.stanford.nlp.util.Index
addAll(Map<K, V1>, Map<K, V2>, Function<V2, V1>) - Static method in class edu.stanford.nlp.util.Maps: Adds all of the keys in from to to, applying function to the values to transform them from V2 to V1.
addAll(TwoDimensionalMap<? extends K1, ? extends K2, ? extends V2>, Function<V2, V>) - Method in class edu.stanford.nlp.util.TwoDimensionalMap: Adds all of the entries in the other map, performing function on them to transform the values
addAll(TwoDimensionalSet<? extends K1, ? extends K2>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
addAllMacros(TregexPatternCompiler, String, String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
addAllMacros(TregexPatternCompiler, BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.Macros
addArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
addArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph
addArc(Class<GR>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Add a labeled arc from this node to the argument node.
addBoundary() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
addChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree: Adds the tree t at the index position among the daughters.
addChild(Tree) - Method in class edu.stanford.nlp.trees.Tree: Adds the tree t at the last index position among the daughters.
addChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
addConstraint(ParserConstraint) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
addDeterminer - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
addEdge(LatticeEdge) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
addEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
addFeature(MorphoFeatureSpecification.MorphoFeatureType, String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
addFiles(List<String>) - Method in class edu.stanford.nlp.trees.treebank.DistributionPackage: Adds a listing of files to the distribution archive
addFilter(Filter<T>) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
addFilter(Filter<T>) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
addHtmlSentenceBoundaryToDiscard(Set<String>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Increases the values in this array by b.
addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Increases the values in this array by b.
addInPlace(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of target to be target[k]+scale*arg[k] for all keys k in target.
addInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of target to be target[k]+arg[k] for all keys k in arg.
addInPlace(double[], Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of double[] target to be target[idx.indexOf(k)]+a.getCount(k) for all keys k in arg
addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters: For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + scale * arg[u,v]
addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters: For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + arg[u,v]
addInPlace(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of target to be target[k]+ value*(num-of-times-it-occurs-in-collection) if the key is present in the arg collection.
addInPlace(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters: For all keys (u,v) in target, sets target[u,v] to be target[u,v] + value
addInPlace(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of target to be target[k]+ num-of-times-it-occurs-in-collection if the key is present in the arg collection.
addInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Increments all keys in a Counter by a specific value.
addIntervalRelationFlags(int, boolean) - Method in class edu.stanford.nlp.util.Interval
addKey(K) - Method in class edu.stanford.nlp.util.CollectionValuedMap
addLabel(L) - Method in class edu.stanford.nlp.ling.BasicDocument: Adds the given label to the List of labels for this Document if it is not null.
addLoggingClass(String) - Static method in class edu.stanford.nlp.util.logging.Redwood: Add a class to the list of known logging classes.
addMacro(String, String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler: Define a macro for rewriting a pattern in any tregex expression compiled by this compiler.
addMap(Map<String, Set<String>>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Add all of the mappings from the specified map to the current map.
addMissingFinalPunctuation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If a token list does not have sentence final punctuation near the end, then automatically add the default one.
addMultInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Add c times the array b to array a.
addMultInto(double[], double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
addNodeToIndexMap(int, TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraph: Store a mapping from an arbitrary integer index to a node in this treegraph.
addOneBinaryRule(BinaryRule, Map<String, TransducerGraph>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
addOnePathToGraph(List, double, int, TransducerGraph) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
addOneUnaryRule(UnaryRule, Map<String, TransducerGraph>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
addRandomBinaryMatrix(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
addRandomColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
addRandomUnaryMatrix(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
addRoot(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer: Changes the ROOT label, and adds a Lexicon.BOUNDARY daughter to it.
addRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
addRoot - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
addRule(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
addRule(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Add this dependency with the given count to the grammar.
addRule(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
addSplit(FastExactAutomatonMinimizer.Split) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
addSplits(FastExactAutomatonMinimizer.Block) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
addSRLArcs - Static variable in class edu.stanford.nlp.semgraph.SemanticGraph
addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel: Adds the tagging with count to the data structures in this Lexicon.
addToKeySet(E) - Method in class edu.stanford.nlp.stats.Distribution: Insures that object is in keyset (with possibly zero value)
addTransformer(TreeTransformer) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
addTreeNormalizer(TreeNormalizer) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer: Adds the given tree normalizer to this combination; the tree normalizers are applied in the order they were added, with the first to be added being the first to be applied.
addVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: For adding a zero degree vertex
addVertex(V) - Method in interface edu.stanford.nlp.graph.Graph: For adding a zero degree vertex
addVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
ADJECTIVAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "adjectival complement" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "adjectival modifier" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "adjetive modifier" grammatical relation.
adjSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "adverbial clause modifier" grammatical relation.
advanceLeft(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
advanceRight(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "adverbial modifier" grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "adverbial modifier" grammatical relation.
advSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
after() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the whitespace String after the word.
after() - Method in interface edu.stanford.nlp.ling.HasContext: Return the whitespace String after the word.
agenda - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
AGENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "agent" grammatical relation.
allowEmptySentences() - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
allTypedDependencies(Tree, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Returns a new SemanticGraph constructed from the given tree.
allTypedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
allTypedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Returns all the typed dependencies of this grammatical structure.
allValues() - Method in class edu.stanford.nlp.util.CollectionValuedMap
alsoHide(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler: Show all the channels currently being printed, with the exception of this new one
alsoShow(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler: Show all the channels currently being printed, in addition to a new one
altTag - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
am - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
Americanize - Class in edu.stanford.nlp.process: Takes a HasWord or String and returns an Americanized version of it.
Americanize() - Constructor for class edu.stanford.nlp.process.Americanize
Americanize(int) - Constructor for class edu.stanford.nlp.process.Americanize: Make an object for Americanizing spelling.
americanize(String) - Static method in class edu.stanford.nlp.process.Americanize: Convert the spelling of a word from British to American English.
americanize(String, boolean) - Static method in class edu.stanford.nlp.process.Americanize: Convert the spelling of a word from British to American English.
ancestor(int, Tree) - Method in class edu.stanford.nlp.trees.Tree: Return the ancestor tree node height nodes up from the current node.
andFilter(Filter<E>, Filter<E>) - Static method in class edu.stanford.nlp.util.Filters: Filter that accepts only when both filters accept (AND).
annotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
AnnotationLookup - Class in edu.stanford.nlp.ling
AnnotationLookup.KeyLookup - Enum in edu.stanford.nlp.ling
ansiCode - Variable in enum edu.stanford.nlp.util.logging.Color
ansiCode - Variable in enum edu.stanford.nlp.util.logging.Style
ANY - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
ANY_DISTANCE_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
ANY_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
ANY_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
aOverAFilter - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
append(CharSequence) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
append(CharSequence, int, int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
append(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
appendHandler(LogRecordHandler, LogRecordHandler) - Static method in class edu.stanford.nlp.util.logging.Redwood: Append a Handler to a portion of the handler tree
appendHandler(Class<? extends LogRecordHandler>, LogRecordHandler) - Static method in class edu.stanford.nlp.util.logging.Redwood: Append a Handler to every parent of the given class
appendHandler(LogRecordHandler) - Static method in class edu.stanford.nlp.util.logging.Redwood: Append a Handler to the end of the root of the Handler tree.
apply(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
apply(List<HasWord>) - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper: Converts an input list of HasWord in IBM Arabic to LDC ATBv3 representation.
apply(String) - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper: Applies escaping to a single word.
apply(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
apply(String) - Method in class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Converts a Sentence/List/String into a Tree.
apply(Pair<UnaryGrammar, BinaryGrammar>) - Method in class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother: Destructively modifies the input and returns it as a convenience.
apply(HasWord) - Method in class edu.stanford.nlp.process.Americanize: Americanize the HasWord or String coming in.
apply(Object) - Method in class edu.stanford.nlp.process.Morphology
apply(List<IN>) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor: Escape a List of HasWords.
apply(Tree) - Method in class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.CompositeTreebank
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.DiskTreebank: Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.FilteringTreebank: Applies the TreeVisitor, but only to the trees that pass the filter.
apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper: Note: At present this clobbers the input list items.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.MemoryTreebank: Apply the TreeVisitor tp to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.TransformingTreebank: Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.Treebank: Apply a TreeVisitor to each tree in the Treebank.
apply(T1) - Method in interface edu.stanford.nlp.util.Function: Converts a T1 to a different T2.
apply() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Apply this configuration to Redwood
apply(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Parses a properties file and applies it immediately to Redwood
apply(String) - Method in class edu.stanford.nlp.util.LowercaseFunction
apply(String) - Method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
applyInitialHessian(double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
applyToProjections(TreeVisitor, Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "appositional modifier" grammatical relation.
APPROVE_OPTION - Static variable in class edu.stanford.nlp.io.ui.OpenPageDialog
APPROXIMATE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
APPROXIMATE - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
ARABIC - Static variable in class edu.stanford.nlp.swing.FontDetector
arabicAoverAFilter(Tree) - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
arabicDigit - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
ArabicHeadFinder - Class in edu.stanford.nlp.trees.international.arabic: Find the head of an Arabic tree, using the usual kind of heuristic head finding rules.
ArabicHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder(String) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder: Construct an ArabicHeadFinder with a String parameter corresponding to the tagset in use.
ArabicHeadFinder(ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder(TreebankLanguagePack, ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder.TagSet - Enum in edu.stanford.nlp.trees.international.arabic
ArabicMorphoFeatureSpecification - Class in edu.stanford.nlp.international.arabic: Extracts morphosyntactic features from BAMA/SAMA analyses.
ArabicMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
ArabicMorphoFeatureSpecification.ArabicMorphoFeatures - Class in edu.stanford.nlp.international.arabic: Converts features specifications to labels for tagging
ArabicMorphoFeatureSpecification.ArabicMorphoFeatures() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
arabicPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
ArabicTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process: Tokenizer for UTF-8 Arabic.
ArabicTokenizer(Reader, LexedTokenFactory<T>, Properties) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
ArabicTokenizer.ArabicTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process
ArabicTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.arabic: Specifies the treebank/language specific components needed for parsing the Penn Arabic Treebank (ATB).
ArabicTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
ArabicTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: A TreebankLangParserParams implementing class for the Penn Arabic Treebank.
ArabicTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
ArabicTreebankParserParams.ArabicSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
ArabicTreebankParserParams.ArabicSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
ArabicTreebankTokenizer - Class in edu.stanford.nlp.trees.international.arabic: Builds a tokenizer for the Penn Arabic Treebank (ATB) using a StreamTokenizer.
ArabicTreebankTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
ArabicTreeNormalizer - Class in edu.stanford.nlp.trees.international.arabic: Normalizes both terminals and non-terminals in Penn Arabic Treebank (ATB) trees.
ArabicTreeNormalizer(boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer(boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer.ArabicEmptyFilter - Class in edu.stanford.nlp.trees.international.arabic: Remove traces and pronoun deletion markers.
ArabicTreeNormalizer.ArabicEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
ArabicTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic: Reads ArabicTreebank trees.
ArabicTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
ArabicTreeReaderFactory(boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
ArabicUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: This is a basic unknown word model for Arabic.
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel: This constructor creates an UWM with empty data structures.
ArabicUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
ArabicUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer
ARCH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
arcLabelsToNode(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Finds all arcs between this node and destNode, and returns the Set of Objects which label those arcs.
arcLabelToNode(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Returns the label of a single arc between this node and destNode, or null if no such arc exists.
arg - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
argCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Stores all the counts for dependencies (with and without the word being a wildcard) in the reduced tag space.
argmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmax(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmax(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmax(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in the Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.Distribution
argmax(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Finds and returns the key in this Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.IntCounter: Finds and returns the key in this Counter with the largest count.
argmax_tieLast(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmin(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmin(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmin(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmin(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in this Counter with the smallest count.
argmin(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in this Counter with the smallest count.
argmin(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Finds and returns the key in this Counter with the smallest count.
argmin() - Method in class edu.stanford.nlp.stats.IntCounter: Finds and returns the key in this Counter with the smallest count.
argsToMap(String[]) - Static method in class edu.stanford.nlp.util.StringUtils: Parses command line arguments into a Map.
argsToMap(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils: Parses command line arguments into a Map.
argsToProperties(String[]) - Static method in class edu.stanford.nlp.util.StringUtils: In this version each flag has zero or one argument.
argsToProperties(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils: Analogous to StringUtils.argsToMap(java.lang.String[]).
argsToPropertiesWithResolve(String[]) - Static method in class edu.stanford.nlp.util.StringUtils: convert args to properties with variable names resolved.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "argument" grammatical relation.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "argument" grammatical relation.
ArgUtils - Class in edu.stanford.nlp.parser.lexparser: Utility methods or common blocks of code factored out of LexicalizedParser so they can be reused
ARRAY_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
ArrayCoreMap - Class in edu.stanford.nlp.util: Base implementation of CoreMap backed by Java Arrays.
ArrayCoreMap() - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Default constructor - initializes with default initial annotation capacity of 4.
ArrayCoreMap(int) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Initializes this ArrayCoreMap, pre-allocating arrays to hold up to capacity key,value pairs.
ArrayCoreMap(ArrayCoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Copy constructor.
ArrayCoreMap(CoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Copy constructor.
ArrayHeap<E> - Class in edu.stanford.nlp.util: Implements a heap as an ArrayList.
ArrayHeap(Comparator<? super E>) - Constructor for class edu.stanford.nlp.util.ArrayHeap: Create an ArrayHeap.
ArrayHeap(Comparator<? super E>, int) - Constructor for class edu.stanford.nlp.util.ArrayHeap
arrayListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory: Return a factory for making ArrayList Collections.
arrayListFactory(int) - Static method in class edu.stanford.nlp.util.CollectionFactory
ArrayMap<K,V> - Class in edu.stanford.nlp.util: Map backed by an Array.
ArrayMap() - Constructor for class edu.stanford.nlp.util.ArrayMap
ArrayMap(int) - Constructor for class edu.stanford.nlp.util.ArrayMap
ArrayMap(Map<? extends K, ? extends V>) - Constructor for class edu.stanford.nlp.util.ArrayMap
ArrayMap(K[], V[]) - Constructor for class edu.stanford.nlp.util.ArrayMap
arrayMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory: Return a MapFactory that returns an ArrayMap.
ArrayMath - Class in edu.stanford.nlp.math: Class ArrayMath
ArrayMath.InvalidElementException - Exception in edu.stanford.nlp.math
ArrayMath.InvalidElementException(String) - Constructor for exception edu.stanford.nlp.math.ArrayMath.InvalidElementException
ArraySet<E> - Class in edu.stanford.nlp.util: An array-backed set.
ArraySet() - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet.
ArraySet(int) - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet with specified initial size of backing array.
ArraySet(E...) - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet with the specified elements.
arraySize - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
ArrayStringFilter - Class in edu.stanford.nlp.util: Filters Strings based on whether they exactly match any string in the array it is initially onstructed with.
ArrayStringFilter(String...) - Constructor for class edu.stanford.nlp.util.ArrayStringFilter
ArrayUtils - Class in edu.stanford.nlp.util: Static utility methods for operating on arrays.
asArray(Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters: Convert a counter to an array using a specified key index.
asArray(Counter<E>, Index<E>, int) - Static method in class edu.stanford.nlp.stats.Counters: Convert a counter to an array using a specified key index.
asArray(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Convert a counter to an array, the order of the array is random
ASCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
asCounter(Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters: Takes in a Collection of something and makes a counter, incrementing once for each object in the collection.
asCounter(FixedPrioritiesPriorityQueue<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a counter whose keys are the elements in this priority queue, and whose counts are the priorities in this queue.
asDOTString() - Method in class edu.stanford.nlp.fsm.TransducerGraph
asDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.CollectionUtils
asFeatures() - Method in class edu.stanford.nlp.ling.BasicDocument: Returns this (the features are the list of words).
asFeatures() - Method in interface edu.stanford.nlp.ling.Featurizable: returns Object as a Collection of its features
asIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.CollectionUtils
asList() - Method in class edu.stanford.nlp.util.ArrayHeap
asList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: needed because Arrays.asList() won't to autoboxing, so if you give it a primitive array you get a singleton list back with just that array as an element.
asList(int[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
asList(double[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
asList() - Method in class edu.stanford.nlp.util.Pair
asList() - Method in class edu.stanford.nlp.util.Triple
asMap(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a map view of the given counter.
asMap(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Tired of Properties not behaving like Maps? This method will solve that problem for you.
asPrimitiveDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.ArrayUtils
asPrimitiveIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.ArrayUtils
assertFinite(double[], String) - Static method in class edu.stanford.nlp.math.ArrayMath
asSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Return a set containing the same elements as the specified array.
asSet(T[]) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns a new Set containing all the objects in the specified array.
ASSOCIATIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "associative marker" grammatical relation.
ASSOCIATIVEM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "associative modifier" grammatical relation.
asSortedList() - Method in class edu.stanford.nlp.util.Beam
ATBArabicDataset - Class in edu.stanford.nlp.international.arabic.pipeline: Converts raw ATB trees into a format appropriate for treebank parsing.
ATBArabicDataset() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset
ATBArabicDataset.ArabicRawTreeNormalizer - Class in edu.stanford.nlp.international.arabic.pipeline: A TreeVisitor for raw ATB trees.
ATBArabicDataset.ArabicRawTreeNormalizer(PrintWriter, PrintWriter) - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
ATBCorrector - Class in edu.stanford.nlp.international.arabic.pipeline: Makes ATB trees consistent with ArabicTreebankLanguagePack.
ATBCorrector() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBCorrector
ATBCorrectorVisitor - Class in edu.stanford.nlp.international.arabic.pipeline: Wrapper class for using the ATBCorrector class with TreebankPipeline's TVISITOR parameter.
ATBCorrectorVisitor() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBCorrectorVisitor
atbFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
ATBTreeUtils - Class in edu.stanford.nlp.trees.international.arabic: Various static convenience methods for processing Arabic parse trees.
attachedNegatedVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
attachModelToLexicalizedParser() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
attributes - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
ATTRIBUTIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "attributive" grammatical relation.
ATTRIBUTIVE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "attributive" grammatical relation.
attrs - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
AutomatonMinimizer - Interface in edu.stanford.nlp.fsm
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "auxiliary" grammatical relation.
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "copula" grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "passive auxiliary" grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "passive" grammatical relation.
available() - Method in class edu.stanford.nlp.io.ReaderInputStream
average(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
average(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a new Counter with counts averaged from the two given Counters.
averageCount() - Method in class edu.stanford.nlp.stats.IntCounter: Returns the mean of all the counts (totalCount/size).

B

BA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "ba" grammatical relation.
backEdge - Variable in class edu.stanford.nlp.parser.lexparser.Item
backHook - Variable in class edu.stanford.nlp.parser.lexparser.Edge
backpropDerivative(Tree, List<String>, IdentityHashMap<Tree, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
backpropDerivative(Tree, List<String>, IdentityHashMap<Tree, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>, SimpleMatrix) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
backupFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
backupName(String) - Static method in class edu.stanford.nlp.io.IOUtils
BaseLexicon - Class in edu.stanford.nlp.parser.lexparser: This is the default concrete instantiation of the Lexicon interface.
BaseLexicon(Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseLexicon
BaseLexicon(Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseLexicon
baseParserWeight - Variable in class edu.stanford.nlp.parser.lexparser.Options: If reranking sentences, we can use the score from the original parser as well.
BaseUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: An unknown word model for a generic language.
BaseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
BaseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: This constructor creates an UWM with empty data structures.
BaseUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
BaseUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
basicCategory(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
basicCategory(String) - Method in class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother
basicCategory(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns the basic syntactic category of a String.
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
basicCategory(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns the basic syntactic category of a String by truncating stuff after a (non-word-initial) occurrence of one of the labelAnnotationIntroducingCharacters().
basicCategoryTagsInDependencyGrammar - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor: Whether basic category tags are in the dependency grammar.
basicCategoryTagsInDependencyGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Where to use the basic or split tags in the dependency grammar
BasicCategoryTreeTransformer - Class in edu.stanford.nlp.trees: Transforms trees by turning the labels into their basic categories according to the TreebankLanguagePack
BasicCategoryTreeTransformer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
BasicDocument<L> - Class in edu.stanford.nlp.ling: Basic implementation of Document that should be suitable for most needs.
BasicDocument() - Constructor for class edu.stanford.nlp.ling.BasicDocument: Constructs a new (empty) BasicDocument using a PTBTokenizer.
BasicDocument(TokenizerFactory<Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument: Constructs a new (empty) BasicDocument using the given tokenizer.
BasicDocument(Document<L, Word, Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument
BasicDocument(Collection<Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument
Beam<T> - Class in edu.stanford.nlp.util: Implements a finite beam, taking a comparator (default is ScoredComparator.ASCENDING_COMPARATOR, the MAX object according to the comparator is the one to be removed) and a beam size on construction (default is 100).
Beam() - Constructor for class edu.stanford.nlp.util.Beam
Beam(int) - Constructor for class edu.stanford.nlp.util.Beam
Beam(int, Comparator<? super T>) - Constructor for class edu.stanford.nlp.util.Beam
before() - Method in class edu.stanford.nlp.ling.CoreLabel
before() - Method in interface edu.stanford.nlp.ling.HasContext
beginPosition() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the beginning character offset of the label (or -1 if none).
beginPosition() - Method in interface edu.stanford.nlp.ling.HasOffset: Return the beginning character offset of the label (or -1 if none).
beginPosition() - Method in class edu.stanford.nlp.ling.StringLabel
belowLineSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
BestOfTopKEval - Class in edu.stanford.nlp.parser.metrics: Applies an AbstractEval to a list of trees to pick the best tree using F1 measure.
BestOfTopKEval(AbstractEval, AbstractEval) - Constructor for class edu.stanford.nlp.parser.metrics.BestOfTopKEval
bestScore - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
better(double, double) - Static method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
bg - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
bg - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
bg - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
BikelChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese: A headfinder implementing Dan Bikel's head rules.
BikelChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.BikelChineseHeadFinder
BikelChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.BikelChineseHeadFinder
bikelHeadFinder - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
BiLexPCFGParser - Class in edu.stanford.nlp.parser.lexparser: Implements Eisner and Satta style algorithms for bilexical PCFG parsing.
BiLexPCFGParser(Scorer, ExhaustivePCFGParser, ExhaustiveDependencyParser, BinaryGrammar, UnaryGrammar, DependencyGrammar, Lexicon, Options, Index<String>, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
BiLexPCFGParser.N5BiLexPCFGParser - Class in edu.stanford.nlp.parser.lexparser
BinaryGrammar - Class in edu.stanford.nlp.parser.lexparser: Maintains efficient indexing of binary grammar rules.
BinaryGrammar(Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryGrammar
BinaryGrammarExtractor - Class in edu.stanford.nlp.parser.lexparser
BinaryGrammarExtractor(Options, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
BinaryHeapPriorityQueue<E> - Class in edu.stanford.nlp.util: PriorityQueue with explicit double priority values.
BinaryHeapPriorityQueue() - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryHeapPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryHeapPriorityQueue(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryHeapPriorityQueue(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>, int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryRule - Class in edu.stanford.nlp.parser.lexparser: Binary rules (ints for parent, left and right children)
BinaryRule(int, int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule: Create a new BinaryRule with the parent and children coded as ints.
BinaryRule(int, int, int, double) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule
BinaryRule(String, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule: Creates a BinaryRule from String s, assuming it was created using toString().
binaryScore - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
binaryScoreIndex(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
binaryTransform - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
binaryTransformIndex(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
BLACK - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
blankDocument() - Method in class edu.stanford.nlp.ling.BasicDocument: Returns a new empty BasicDocument with the same title, labels, and tokenizer as this Document.
blankDocument() - Method in interface edu.stanford.nlp.ling.Document: Returns a new empty Document with the same meta-data (title, labels, etc) as this Document.
BLINK - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
Block<E> - Interface in edu.stanford.nlp.fsm
blockTags - Static variable in class edu.stanford.nlp.process.StripTagsProcessor: Block-level HTML tags that are rendered with surrounding line breaks.
BLUE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
BobChrisTreeNormalizer - Class in edu.stanford.nlp.trees: Normalizes trees in the way used in Manning and Carpenter 1997.
BobChrisTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
BobChrisTreeNormalizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
BobChrisTreeNormalizer.AOverAFilter - Class in edu.stanford.nlp.trees
BobChrisTreeNormalizer.AOverAFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
BobChrisTreeNormalizer.EmptyFilter - Class in edu.stanford.nlp.trees
BobChrisTreeNormalizer.EmptyFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
BOLD - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
BOUNDARY - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
BOUNDARY_TAG - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
BoundaryRemover - Class in edu.stanford.nlp.parser.lexparser: Removes a boundary symbol (Lexicon.BOUNDARY_TAG or Lexicon.BOUNDARY), which is the rightmost daughter of a tree.
BoundaryRemover() - Constructor for class edu.stanford.nlp.parser.lexparser.BoundaryRemover
box(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
box(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
breakingTags - Static variable in class edu.stanford.nlp.util.XMLUtils: Block-level HTML tags that are rendered with surrounding line breaks.
Buckwalter - Class in edu.stanford.nlp.international.arabic: This class can convert between Unicode and Buckwalter encodings of Arabic.
Buckwalter() - Constructor for class edu.stanford.nlp.international.arabic.Buckwalter
Buckwalter(boolean) - Constructor for class edu.stanford.nlp.international.arabic.Buckwalter
buckwalterToUnicode(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
build() - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset
build() - Method in class edu.stanford.nlp.international.french.pipeline.FTBDataset
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure.FromDependenciesFactory
build(List<TypedDependency>, TreeGraphNode) - Method in interface edu.stanford.nlp.trees.GrammaticalStructureFromDependenciesFactory
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure.FromDependenciesFactory
build() - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
build() - Method in interface edu.stanford.nlp.trees.treebank.Dataset: Generic method for loading, processing, and writing a dataset.
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
buildCoNLLXGrammaticalStructure(List<List<String>>, Map<String, GrammaticalRelation>, GrammaticalStructureFromDependenciesFactory) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
buildFA(List<String>) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
buildGrammars() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
buildMinimizedFA() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
buildOFilter() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
buildOScore(Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
buildSplitMap(String) - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
buildStateIndex() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
buildTrainBinarizer(Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
buildTrainTransformer(Options) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
buildTrainTransformer(Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
buildTrainTransformer(Options, TreeAnnotatorAndBinarizer) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
buildUWM() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
buildUWM() - Method in class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModelTrainer
builtEdges - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
builtHooks - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
ByteStreamGobbler - Class in edu.stanford.nlp.util: Stream Gobbler that read and write bytes (can be used to gobble byte based stdout from a process.exec into a file)
ByteStreamGobbler(InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
ByteStreamGobbler(String, InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
ByteStreamGobbler(String, InputStream, OutputStream, int) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
byteValue() - Method in class edu.stanford.nlp.util.MutableDouble
byteValue() - Method in class edu.stanford.nlp.util.MutableInteger
BZip2PipedOutputStream - Class in edu.stanford.nlp.io: Opens a outputstream for writing into a bzip2 file by piping into the bzip2 command.
BZip2PipedOutputStream(String) - Constructor for class edu.stanford.nlp.io.BZip2PipedOutputStream
BZip2PipedOutputStream(String, OutputStream) - Constructor for class edu.stanford.nlp.io.BZip2PipedOutputStream

C

c - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: The underlying Collection of input sources.
CacheParseHypotheses - Class in edu.stanford.nlp.parser.dvparser
CacheParseHypotheses(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
calculate(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction: Calculate the value at x and the derivative and save them in the respective fields.
calculate(double[]) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
callingClass - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
callingMethod - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
canAddArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
canAddPath(List) - Method in class edu.stanford.nlp.fsm.TransducerGraph: For testing only.
CANCEL_OPTION - Static variable in class edu.stanford.nlp.io.ui.OpenPageDialog
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.trees.treebank.DefaultMapper
canChangeEncoding(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper: Indicates whether child can be converted to another encoding.
capacity() - Method in class edu.stanford.nlp.util.Beam
capitalize(String) - Static method in class edu.stanford.nlp.util.StringUtils: Uppercases the first character of a string.
captureStderr() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Capture stderr and route them through Redwood
captureStdout() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Capture stdout and route them through Redwood
captureStreams() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Capture stdout and stderr and route them through Redwood
captureSystemStreams(boolean, boolean) - Static method in class edu.stanford.nlp.util.logging.Redwood: Captures System.out and System.err and redirects them to Redwood logging.
cast(String, Type) - Static method in class edu.stanford.nlp.util.MetaClass: Cast a String representation of an object into that object.
castToInt(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
category() - Method in class edu.stanford.nlp.ling.CategoryWordTag
category() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the category value of the label (or null if none).
category() - Method in interface edu.stanford.nlp.ling.HasCategory: Return the category value of the label (or null if none).
categoryAndFunction(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns the syntactic category and 'function' of a String.
categoryAndFunction(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns the syntactic category and 'function' of a String.
CategoryWordTag - Class in edu.stanford.nlp.ling: A CategoryWordTag object acts as a complex Label which contains a category, a head word, and a tag.
CategoryWordTag() - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
CategoryWordTag(String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag: This one argument constructor sets just the value.
CategoryWordTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
CategoryWordTag(Label) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag: Creates a new CategoryWordTag label from an existing label.
CategoryWordTagFactory - Class in edu.stanford.nlp.ling: A CategoryWordTagFactory is a factory that makes a Label which is a CategoryWordTag triplet.
CategoryWordTagFactory() - Constructor for class edu.stanford.nlp.ling.CategoryWordTagFactory
cCommands(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree: Given nodes t1 and t2 which are dominated by this node, returns true iff t1 c-commands t2.
CCtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer: Transforms t if it contains a coordination in a flat structure
CEDict - Class in edu.stanford.nlp.trees.international.pennchinese
cf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
changePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Changes a priority, either up or down, adding the key it if it wasn't there already.
changePriority(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Not supported in this implementation.
changePriority(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue: Changes a priority, either up or down, adding the key it if it wasn't there already.
channelColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood: Create an object representing a group of channels.
channels() - Method in class edu.stanford.nlp.util.logging.Redwood.Record: Returns the channels for this record, in sorted order (special channels first, then alphabetical)
channels(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels: Creates a new RedwoodChannels object, concatenating the channels from this RedwoodChannels with some additional channels.
channelSeparatorChar - Variable in class edu.stanford.nlp.util.logging.OutputHandler: Character used to join multiple channel names
channelStyles - Variable in class edu.stanford.nlp.util.logging.OutputHandler
chart - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
charTags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
cheatPCFG - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Add all test set trees to training data for PCFG.
checkConstructor(Object...) - Method in class edu.stanford.nlp.util.MetaClass
checkCrossing(Set<Constituent>, Set<Constituent>) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
checkError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
checkExistsOrFail(File) - Static method in class edu.stanford.nlp.io.FileSystem
checkFlagExclusiveSet(int, int, int) - Static method in class edu.stanford.nlp.util.Interval: Utility function to check if a particular flag is set exclusively given a particular set of flags and a mask.
checkFlagSet(int, int) - Static method in class edu.stanford.nlp.util.Interval: Utility function to check if a particular flag is set given a particular set of flags
checkMultipleBitSet(int) - Static method in class edu.stanford.nlp.util.Interval: Utility function to check if multiple bits are set for flags
checkNotExistsOrFail(File) - Static method in class edu.stanford.nlp.io.FileSystem
checkProperties(Properties, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Checks to make sure that all properties specified in properties are known to the program by checking that each simply overrides a default value
checkRequiredProperties(Properties, String...) - Static method in class edu.stanford.nlp.util.StringUtils: If any of the given list of properties are not found, returns the name of that property.
child - Variable in class edu.stanford.nlp.parser.lexparser.UnaryRule
childFilteredEval(String, boolean, TreebankLanguagePack, String) - Static method in class edu.stanford.nlp.parser.metrics.FilteredEval: Returns an eval which is good for counting the attachment of specific node types.
childPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a list of pairs of a relation name and the child IndexedFeatureLabel that bears that relation.
childRelns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a list of relations which this node has with its children.
children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.SimpleTree: Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.Tree: Returns an array of children for the current node.
children - Variable in class edu.stanford.nlp.trees.TreeGraphNode: Children of this node.
children() - Method in class edu.stanford.nlp.trees.TreeGraphNode: Returns an array of the children of this node.
children() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
childrenNamesSpi() - Method in class edu.stanford.nlp.util.DisabledPreferences
childSpi(String) - Method in class edu.stanford.nlp.util.DisabledPreferences
childTab - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
CHINESE - Static variable in class edu.stanford.nlp.swing.FontDetector
ChineseCharacterBasedLexicon - Class in edu.stanford.nlp.parser.lexparser
ChineseCharacterBasedLexicon(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
ChineseCollinizer - Class in edu.stanford.nlp.trees.international.pennchinese: Performs collinization operations on Chinese trees similar to those for English Namely: strips all functional & automatically-added tags strips all punctuation merges PRN and ADVP eliminates ROOT (note that there are a few non-unary ROOT nodes; these are not eliminated)
ChineseCollinizer(ChineseTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
ChineseCollinizer(ChineseTreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
chineseColonAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseCommaAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseDashAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseDouHaoAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseEndSentenceAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseEnglishWordMap - Class in edu.stanford.nlp.trees.international.pennchinese: A class for mapping Chinese words to English.
ChineseEnglishWordMap() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Make a ChineseEnglishWordMap with a default CEDict path.
ChineseEnglishWordMap(String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
ChineseEscaper - Class in edu.stanford.nlp.trees.international.pennchinese: An Escaper for Chinese normalization to match Treebank.
ChineseEscaper() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
ChineseGrammaticalRelations - Class in edu.stanford.nlp.trees.international.pennchinese: ChineseGrammaticalRelations is a set of GrammaticalRelation objects for the Chinese language.
ChineseGrammaticalRelations.AdjectivalModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.AdjectivalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.AdjectivalModifierGRAnnotation
ChineseGrammaticalRelations.AdverbialModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.AdverbialModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.AdverbialModifierGRAnnotation
ChineseGrammaticalRelations.ArgumentGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ArgumentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ArgumentGRAnnotation
ChineseGrammaticalRelations.AspectMarkerGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.AspectMarkerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.AspectMarkerGRAnnotation
ChineseGrammaticalRelations.AssociativeMarkerGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.AssociativeMarkerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.AssociativeMarkerGRAnnotation
ChineseGrammaticalRelations.AssociativeModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.AssociativeModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.AssociativeModifierGRAnnotation
ChineseGrammaticalRelations.AttributiveGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.AttributiveGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.AttributiveGRAnnotation
ChineseGrammaticalRelations.AuxModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.AuxModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.AuxModifierGRAnnotation
ChineseGrammaticalRelations.AuxPassiveGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.AuxPassiveGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.AuxPassiveGRAnnotation
ChineseGrammaticalRelations.BaGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.BaGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.BaGRAnnotation
ChineseGrammaticalRelations.ClausalComplementGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ClausalComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ClausalComplementGRAnnotation
ChineseGrammaticalRelations.ClausalSubjectGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ClausalSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ClausalSubjectGRAnnotation
ChineseGrammaticalRelations.ClauseModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ClauseModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ClauseModifierGRAnnotation
ChineseGrammaticalRelations.ComplementGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ComplementGRAnnotation
ChineseGrammaticalRelations.ComplementizerGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ComplementizerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ComplementizerGRAnnotation
ChineseGrammaticalRelations.ControllingSubjectGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ControllingSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ControllingSubjectGRAnnotation
ChineseGrammaticalRelations.CoordinationGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.CoordinationGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.CoordinationGRAnnotation
ChineseGrammaticalRelations.DeterminerGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.DeterminerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.DeterminerGRAnnotation
ChineseGrammaticalRelations.DirectObjectGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.DirectObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.DirectObjectGRAnnotation
ChineseGrammaticalRelations.DvpMarkerGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.DvpMarkerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.DvpMarkerGRAnnotation
ChineseGrammaticalRelations.DvpModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.DvpModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.DvpModifierGRAnnotation
ChineseGrammaticalRelations.EtcGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.EtcGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.EtcGRAnnotation
ChineseGrammaticalRelations.LocalizerComplementGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.LocalizerComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.LocalizerComplementGRAnnotation
ChineseGrammaticalRelations.ModalGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ModalGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ModalGRAnnotation
ChineseGrammaticalRelations.ModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ModifierGRAnnotation
ChineseGrammaticalRelations.NegationModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.NegationModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.NegationModifierGRAnnotation
ChineseGrammaticalRelations.NominalPassiveSubjectGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.NominalPassiveSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.NominalPassiveSubjectGRAnnotation
ChineseGrammaticalRelations.NominalSubjectGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.NominalSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.NominalSubjectGRAnnotation
ChineseGrammaticalRelations.NounCompoundModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.NounCompoundModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.NounCompoundModifierGRAnnotation
ChineseGrammaticalRelations.NumberModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.NumberModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.NumberModifierGRAnnotation
ChineseGrammaticalRelations.NumericModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.NumericModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.NumericModifierGRAnnotation
ChineseGrammaticalRelations.ObjectGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ObjectGRAnnotation
ChineseGrammaticalRelations.OrdNumberGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.OrdNumberGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.OrdNumberGRAnnotation
ChineseGrammaticalRelations.ParentheticalGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ParentheticalGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ParentheticalGRAnnotation
ChineseGrammaticalRelations.ParticipialModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ParticipialModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ParticipialModifierGRAnnotation
ChineseGrammaticalRelations.PreconjunctGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.PreconjunctGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.PreconjunctGRAnnotation
ChineseGrammaticalRelations.PrepositionalLocalizerModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.PrepositionalLocalizerModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.PrepositionalLocalizerModifierGRAnnotation
ChineseGrammaticalRelations.PrepositionalModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.PrepositionalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.PrepositionalModifierGRAnnotation
ChineseGrammaticalRelations.PrepositionalObjectGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.PrepositionalObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.PrepositionalObjectGRAnnotation
ChineseGrammaticalRelations.PunctuationGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.PunctuationGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.PunctuationGRAnnotation
ChineseGrammaticalRelations.RangeGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.RangeGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.RangeGRAnnotation
ChineseGrammaticalRelations.RelativeClauseModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.RelativeClauseModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.RelativeClauseModifierGRAnnotation
ChineseGrammaticalRelations.ResultativeComplementGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.ResultativeComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.ResultativeComplementGRAnnotation
ChineseGrammaticalRelations.SemanticDependentGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.SemanticDependentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.SemanticDependentGRAnnotation
ChineseGrammaticalRelations.SubjectGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.SubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.SubjectGRAnnotation
ChineseGrammaticalRelations.TemporalClauseGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.TemporalClauseGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.TemporalClauseGRAnnotation
ChineseGrammaticalRelations.TemporalGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.TemporalGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.TemporalGRAnnotation
ChineseGrammaticalRelations.TimePostpositionGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.TimePostpositionGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.TimePostpositionGRAnnotation
ChineseGrammaticalRelations.TopicGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.TopicGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.TopicGRAnnotation
ChineseGrammaticalRelations.VerbCompoundGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.VerbCompoundGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.VerbCompoundGRAnnotation
ChineseGrammaticalRelations.VerbModifierGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.VerbModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.VerbModifierGRAnnotation
ChineseGrammaticalRelations.XClausalComplementGRAnnotation - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations.XClausalComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations.XClausalComplementGRAnnotation
ChineseGrammaticalStructure - Class in edu.stanford.nlp.trees.international.pennchinese: A GrammaticalStructure for Chinese.
ChineseGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure: Construct a new GrammaticalStructure from an existing parse tree.
ChineseGrammaticalStructure(Tree, Filter<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
ChineseGrammaticalStructure(Tree, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
ChineseGrammaticalStructure(Tree, Filter<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
ChineseGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure: Used for postprocessing CoNLL X dependencies
ChineseGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructure.FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure.FromDependenciesFactory
ChineseGrammaticalStructureFactory - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
ChineseGrammaticalStructureFactory(Filter<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
ChineseGrammaticalStructureFactory(Filter<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
ChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese: HeadFinder for the Penn Chinese Treebank.
ChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
ChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
chineseLeftParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseLeftQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseLexicon - Class in edu.stanford.nlp.parser.lexparser: A lexicon class for Chinese.
ChineseLexicon(Options, ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexicon
ChineseLexiconAndWordSegmenter - Class in edu.stanford.nlp.parser.lexparser: This class lets you train a lexicon and segmenter at the same time.
ChineseLexiconAndWordSegmenter(ChineseLexicon, WordSegmenter) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
ChineseLexiconAndWordSegmenter(String, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter: Construct a new ChineseLexiconAndWordSegmenter.
ChineseMarkovWordSegmenter - Class in edu.stanford.nlp.parser.lexparser: Performs word segmentation with a hierarchical markov model over POS and over characters given POS.
ChineseMarkovWordSegmenter(ChineseCharacterBasedLexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
ChineseMarkovWordSegmenter(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
chineseOtherAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseRightParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseRightQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseSelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
ChineseSemanticHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese: Implements a 'semantic head' variant of the the HeadFinder found in Chinese Head Finder
ChineseSemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
ChineseSemanticHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
ChineseSimWordAvgDepGrammar - Class in edu.stanford.nlp.parser.lexparser: A Dependency grammar that smooths by averaging over similar words.
ChineseSimWordAvgDepGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
chineseSplitDouHao - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: Split the dou hao (a punctuation mark separating members of a list) from other punctuation.
chineseSplitPunct - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: split Chinese punctuation several ways, along the lines of English punctuation plus another category for the dou hao.
chineseSplitPunctLR - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: split left right/paren quote (if chineseSplitPunct is also true.
chineseSplitVP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese VP splitting.
ChineseTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.pennchinese: Language pack for the UPenn/Colorado Chinese treebank.
ChineseTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: Parameter file for parsing the Penn Chinese Treebank.
ChineseTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
ChineseUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: Stores, trains, and scores with an unknown word model.
ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, boolean, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel: This constructor creates an UWM with empty data structures.
ChineseUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
ChineseUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer
ChineseUtils - Class in edu.stanford.nlp.trees.international.pennchinese: This class contains a few String constants and static methods for dealing with Chinese text.
chineseVerySelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
chiSquare2by2(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Find a 2x2 chi-square value.
chomp(String) - Static method in class edu.stanford.nlp.util.StringUtils: Returns the supplied string with any trailing '\n' removed.
chomp(Object) - Static method in class edu.stanford.nlp.util.StringUtils: Returns the result of calling toString() on the supplied Object, but with any trailing '\n' removed.
CHTBTokenizer - Class in edu.stanford.nlp.trees.international.pennchinese: A simple tokenizer for tokenizing Penn Chinese Treebank files.
CHTBTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer: Constructs a new tokenizer from a Reader.
CL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "clause modifier of a preposition" grammatical relation.
ClassicCounter<E> - Class in edu.stanford.nlp.stats: A specialized kind of hash table (or map) for storing numeric counts for objects.
ClassicCounter() - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Constructs a new (empty) Counter backed by a HashMap.
ClassicCounter(int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
ClassicCounter(MapFactory<E, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(MapFactory<E, MutableDouble>, int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(Counter<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Constructs a new Counter with the contents of the given Counter.
ClassicCounter(Collection<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Constructs a new Counter by counting the elements in the given Collection.
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "clausal complement" grammatical relation.
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "clausal" grammatical relation.
CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "clausal passive subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "clausal subject" grammatical relation.
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.GrammaticalFunctionTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpRoot(String) - Static method in class edu.stanford.nlp.trees.DependencyTreeTransformer
clear() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: clears the graph, removes all edges and nodes
clear() - Method in interface edu.stanford.nlp.graph.Graph: clears the graph, removes all edges and nodes
clear() - Method in class edu.stanford.nlp.objectbank.ObjectBank
clear() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
clear() - Method in class edu.stanford.nlp.stats.ClassicCounter: Removes all entries from the counter.
clear() - Method in interface edu.stanford.nlp.stats.Counter: Removes all entries from the counter.
clear() - Method in class edu.stanford.nlp.stats.IntCounter: Removes all counts from this Counter.
clear() - Method in class edu.stanford.nlp.trees.CompositeTreebank
clear() - Method in class edu.stanford.nlp.trees.DiskTreebank: Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.FilteringTreebank: Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.MemoryTreebank: Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.TransformingTreebank: Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.Treebank: Empty a Treebank.
clear() - Method in class edu.stanford.nlp.util.ArrayHeap: Clears the heap.
clear() - Method in class edu.stanford.nlp.util.ArrayMap
clear() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Clears the queue.
clear() - Method in class edu.stanford.nlp.util.CollectionValuedMap: Clears this Map.
clear() - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
clear() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap: This is more expensive than normal.
clear() - Method in class edu.stanford.nlp.util.DeltaIndex: We don't want to change the backing index in any way, and "clear" would have to entail doing that, so we just throw an UnsupportedOperationException instead
clear() - Method in class edu.stanford.nlp.util.DeltaMap: This is more expensive than normal.
clear() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
clear() - Method in class edu.stanford.nlp.util.HashIndex: Clears this Index.
clear() - Method in class edu.stanford.nlp.util.IdentityHashSet: Removes all of the elements from this set.
clear() - Method in interface edu.stanford.nlp.util.Index
clear() - Method in class edu.stanford.nlp.util.Interner
clear() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Clear any custom configurations to Redwood
clear() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
clear() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
clearCache() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction: Clears the cache in a way that doesn't require reallocation :-)
clearError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
clearHandlers() - Static method in class edu.stanford.nlp.util.logging.Redwood: Remove all log handlers from Redwood, presumably in order to construct a custom pipeline afterwards
clearLoggingClasses() - Static method in class edu.stanford.nlp.util.logging.Redwood: Removes all classes from the list of known logging classes
clearMemory() - Method in class edu.stanford.nlp.objectbank.ObjectBank: If you are keeping the contents in memory, this will clear hte memory, and they will be recomputed the next time iterator() is called.
clearNodeScope(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
clone() - Method in class edu.stanford.nlp.fsm.TransducerGraph
clone() - Method in class edu.stanford.nlp.stats.IntCounter
clone() - Method in class edu.stanford.nlp.util.CollectionValuedMap
clone() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Returns a clone of this priority queue.
clone() - Method in class edu.stanford.nlp.util.IdentityHashSet: Returns a shallow copy of this IdentityHashSet instance: the elements themselves are not cloned.
close() - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
close() - Method in class edu.stanford.nlp.io.ReaderInputStream: Closes the Stringreader.
close() - Method in class edu.stanford.nlp.trees.FilteringTreeReader: Close the Reader behind this TreeReader.
close() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeReader
close() - Method in class edu.stanford.nlp.trees.PennTreeReader: Closes the underlying Reader used to create this class.
close() - Method in interface edu.stanford.nlp.trees.TreeReader: Close the Reader behind this TreeReader.
close() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler: This is a no-op since Redwood doesn't have this.
close() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
CLOSED_CLASS_THRESHOLD - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
closedRuleIterator() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
closedRuleIteratorByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
closedRuleIteratorByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
closedRulesByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
closedRulesByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
closeEVALBfiles() - Static method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
closeFiles() - Method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
closeIgnoringExceptions(Closeable) - Static method in class edu.stanford.nlp.io.IOUtils: Provides an implementation of closing a file for use in a finally block so you can correctly close a file without even more exception handling stuff.
closeNodeScope(Node, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
closeNodeScope(Node, boolean) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
CNFTransformers - Class in edu.stanford.nlp.parser.lexparser
coarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.Options: Use coarser distance (4 bins) in dependency calculations
coarseDistanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
coarseDistanceBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
CoindexNodes - Class in edu.stanford.nlp.trees.tregex.tsurgeon
CoindexNodes(TsurgeonPattern[]) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CoindexNodes
collapseApproximate() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Collapse repeated records, using an approximate notion of equality (i.e.
collapseDependencies(List<TypedDependency>, boolean, boolean) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Destructively modifies this Collection<TypedDependency> by collapsing several types of transitive pairs of dependencies.
collapseDependencies(List<TypedDependency>, boolean, boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Destructively modify the Collection<TypedDependency> to collapse language-dependent transitive dependencies.
collapseDependencies(List<TypedDependency>, boolean, boolean) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Destructively modify the Collection<TypedDependency> to collapse language-dependent transitive dependencies but keeping a tree structure.
collapseExact() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Collapse repeated records, using exact string match on the record.
collapseNone() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Do not collapse repeated records
collapseWhCategories - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Collapse WHPP with PP, etc., in training and perhaps in evaluation.
collectionAcceptFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters: The collectionAcceptFilter accepts a certain collection.
collectionAcceptFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters: The collectionAcceptFilter accepts a certain collection.
CollectionFactory<T> - Class in edu.stanford.nlp.util: Factory for vending Collections.
CollectionFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory
CollectionFactory.ArrayListFactory<T> - Class in edu.stanford.nlp.util
CollectionFactory.ArrayListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
CollectionFactory.HashSetFactory<T> - Class in edu.stanford.nlp.util
CollectionFactory.HashSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
CollectionFactory.LinkedListFactory<T> - Class in edu.stanford.nlp.util
CollectionFactory.LinkedListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
CollectionFactory.SizedArrayListFactory<T> - Class in edu.stanford.nlp.util
CollectionFactory.SizedArrayListFactory(int) - Constructor for class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
CollectionFactory.TreeSetFactory<T> - Class in edu.stanford.nlp.util
CollectionFactory.TreeSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
collectionRejectFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters: The collectionRejectFilter rejects a certain collection.
collectionRejectFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters: The collectionRejectFilter rejects a certain collection.
CollectionUtils - Class in edu.stanford.nlp.util: Collection of useful static methods for working with Collections.
CollectionValuedMap<K,V> - Class in edu.stanford.nlp.util: Map from keys to Collections.
CollectionValuedMap(MapFactory<K, Collection<V>>, CollectionFactory<V>, boolean) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap: Creates a new empty CollectionValuedMap.
CollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap: Creates a new CollectionValuedMap with all of the mappings from cvm.
CollectionValuedMap() - Constructor for class edu.stanford.nlp.util.CollectionValuedMap: Creates a new empty CollectionValuedMap which uses a HashMap as the underlying Map, and HashSets as the Collections in each mapping.
CollectionValuedMap(CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap: Creates a new empty CollectionValuedMap which uses a HashMap as the underlying Map.
collectOperations(List<TsurgeonPattern>) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Collects a list of operation patterns into a sequence of operations to be applied.
collinize(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: the tree transformer used to produce trees for evaluation.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams: The collinizer eliminates punctuation
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Returns a ChineseCollinizer
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams: The tree transformer used to produce trees for evaluation.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams: returns a NegraPennCollinizer
collinizer() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: The tree transformer applied to trees prior to evaluation.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: the tree transformer used to produce trees for evaluation.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams: Stand-in collinizer does nothing to the tree.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Returns a ChineseCollinizer that doesn't delete punctuation
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams: Stand-in collinizer does nothing to the tree.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams: returns a NegraPennCollinizer
collinizerEvalb() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: the tree transformer used to produce trees for evaluation.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
CollinsHeadFinder - Class in edu.stanford.nlp.trees: Implements the HeadFinder found in Michael Collins' 1999 thesis.
CollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
CollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder: This constructor provides the traditional behavior, where there is no special avoidance of punctuation categories.
CollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
collinsPunc - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Promote/delete punctuation like Collins.
CollinsPuncTransformer - Class in edu.stanford.nlp.parser.lexparser: This class manipulates punctuation in trees (used with training trees) in the same manner that Collins manipulated punctuation in trees when building his parsing model.
CollinsPuncTransformer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.CollinsPuncTransformer
CollocationFinder - Class in edu.stanford.nlp.trees: Finds WordNet collocations in parse trees.
CollocationFinder(Tree, WordNetConnection) - Constructor for class edu.stanford.nlp.trees.CollocationFinder: Construct a new CollocationFinder over the Tree t.
CollocationFinder(Tree, WordNetConnection, HeadFinder) - Constructor for class edu.stanford.nlp.trees.CollocationFinder: Construct a new CollocationFinder over the Tree t.
CollocationFinder(Tree, WordNetConnection, HeadFinder, boolean) - Constructor for class edu.stanford.nlp.trees.CollocationFinder: Construct a new CollocationFinder over the Tree t.
Color - Enum in edu.stanford.nlp.util.logging: ANSI supported colors These values are mirrored in Redwood.Util
colorChannel(String, Color) - Method in class edu.stanford.nlp.util.logging.OutputHandler: Color the tag for a particular channel this color
columnStringToObject(Class, String, String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils: Converts a tab delimited string into an object with given fields Requires the object has setXxx functions for the specified fields
columnStringToObject(Class<?>, String, Pattern, String[]) - Static method in class edu.stanford.nlp.util.StringUtils: Converts a tab delimited string into an object with given fields Requires the object has public access for the specified fields
combine(Edge, Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
commonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Return the maximum distance to a least common ancestor.
compact() - Method in class edu.stanford.nlp.util.ArrayCoreMap: Reduces memory consumption to the minimum for representing the values currently stored stored in this object.
compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Map<String, List<List<String>>>, Map<String, List<List<String>>>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor: Compacts the grammar specified by the Pair.
compactGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: How to compact grammars as FSMs.
compactGrammar() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
compare(Tree, Tree) - Method in class edu.stanford.nlp.trees.TreeLengthComparator: Compare the two objects.
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstPairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondPairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
compare(Scored, Scored) - Method in class edu.stanford.nlp.util.ScoredComparator
compareArrays(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Provides a consistent ordering over arrays.
compareIntervalOrder(Interval<E>) - Method in class edu.stanford.nlp.util.Interval: Returns order of another interval compared to this one
compareLists(List<T>, List<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Provides a consistent ordering over lists.
compareTo(IndexedWord) - Method in class edu.stanford.nlp.ling.IndexedWord: NOTE: This compareTo is based on and made to be compatible with the one from IndexedFeatureLabel.
compareTo(ValueLabel) - Method in class edu.stanford.nlp.ling.ValueLabel: Orders by value()'s lexicographic ordering.
compareTo(WordLemmaTag) - Method in class edu.stanford.nlp.ling.WordLemmaTag: Orders first by word, then by lemma, then by tag.
compareTo(WordTag) - Method in class edu.stanford.nlp.ling.WordTag: Orders first by word, then by tag.
compareTo(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
compareTo(HTKLatticeReader.LatticeWord) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
compareTo(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
compareTo(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
compareTo(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge: Compares SemanticGraphEdges.
compareTo(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
compareTo(TypedDependency) - Method in class edu.stanford.nlp.trees.TypedDependency
compareTo(IntTuple) - Method in class edu.stanford.nlp.util.IntTuple
compareTo(MutableDouble) - Method in class edu.stanford.nlp.util.MutableDouble: Compares two MutableDouble objects numerically.
compareTo(MutableInteger) - Method in class edu.stanford.nlp.util.MutableInteger: Compares two MutableInteger objects numerically.
compareTo(Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair: Compares this Pair to another object.
compareTo(Triple<T1, T2, T3>) - Method in class edu.stanford.nlp.util.Triple
compile(String) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern: Creates a pattern from the given string using the default HeadFinder and BasicCategoryFunction.
compile(String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler: Create a TregexPattern from this tregex string using the headFinder and basicCat function this TregexPatternCompiler was created with.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "complement" grammatical relation.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "comp" grammatical relation.
COMPLEMENTIZER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "cp marker" grammatical relation.
COMPLETE_FORMAT - Static variable in class edu.stanford.nlp.ling.IndexedWord
compose(Map<X, Y>, Map<Y, Z>) - Static method in class edu.stanford.nlp.util.Maps: Compose two maps map1:x->y and map2:y->z to get a map x->z
CompositeTreebank - Class in edu.stanford.nlp.trees
CompositeTreebank(Treebank, Treebank) - Constructor for class edu.stanford.nlp.trees.CompositeTreebank
CompositeTreeTransformer - Class in edu.stanford.nlp.trees: A TreeTransformer that applies component TreeTransformers in order.
CompositeTreeTransformer() - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
CompositeTreeTransformer(List<TreeTransformer>) - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
computeInputPrior(Map<String, List<List<String>>>) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
computeLambda(TransducerGraph) - Static method in class edu.stanford.nlp.fsm.QuasiDeterminizer: Takes time linear in number of arcs.
concat(IntTuple, IntTuple) - Static method in class edu.stanford.nlp.util.IntTuple
concatenate(SimpleMatrix...) - Static method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient: Concatenates several column vectors into one large column vector
concatenateWithBias(SimpleMatrix...) - Static method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient: Concatenates several column vectors into one large column vector, adds a 1.0 at the end as a bias term
ConcatenationIterator<T> - Class in edu.stanford.nlp.util: Iterator that represents the concatenation of two other iterators.
ConcatenationIterator(Iterator<T>, Iterator<T>) - Constructor for class edu.stanford.nlp.util.ConcatenationIterator
conditionalize(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: returns a GeneralizedCounter conditioned on the objects in the List argument.
conditionalizeOnce(K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns a GeneralizedCounter conditioned on the given top level object.
ConfigParser - Class in edu.stanford.nlp.trees.treebank
ConfigParser(String) - Constructor for class edu.stanford.nlp.trees.treebank.ConfigParser
configuredOptions - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
CONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "conjunct" grammatical relation.
CONJUNCT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "conjunct" grammatical relation.
conjValue(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Does some hard coding to deal with relation in CONJP.
CoNLLX_FieldCount - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
CoNLLX_GovField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
CoNLLX_POSField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
CoNLLX_RelnField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
CoNLLX_WordField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
ConnectedComponents<V,E> - Class in edu.stanford.nlp.graph: Finds connected components in the graph, currently uses inefficient list for variable 'verticesLeft'.
ConnectedComponents() - Constructor for class edu.stanford.nlp.graph.ConnectedComponents
console() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Add a console pipeline to the Redwood handler tree, Calling this multiple times will result in messages being printed multiple times.
Constituent - Class in edu.stanford.nlp.trees: A Constituent object defines a generic edge in a graph.
Constituent() - Constructor for class edu.stanford.nlp.trees.Constituent
ConstituentFactory - Interface in edu.stanford.nlp.trees: A ConstituentFactory is a factory for creating objects of class Constituent, or some descendent class.
constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent: Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent: Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent: Return a factory for this kind of constituent.
constituents() - Method in class edu.stanford.nlp.trees.Tree: Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory) - Method in class edu.stanford.nlp.trees.Tree: Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean) - Method in class edu.stanford.nlp.trees.Tree: Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean, Filter<Tree>) - Method in class edu.stanford.nlp.trees.Tree
constraints - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: When you want to force the parser to parse a particular subsequence into a particular state.
contains(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
contains(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Can be slow.
contains(Constituent) - Method in class edu.stanford.nlp.trees.Constituent: Detects whether this constituent contains a constituent, that is whether they are nested.
contains(T[], T) - Static method in class edu.stanford.nlp.util.ArrayUtils: Returns true iff object o equals (not ==) some element of array a.
contains(Object) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Returns whether the queue contains the given key.
contains(Object) - Method in class edu.stanford.nlp.util.DeltaIndex
contains(Object) - Method in class edu.stanford.nlp.util.HashIndex: Checks whether an Object already has an index in the Index
contains(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet: Returns true if this set contains the specified element.
contains(Object) - Method in interface edu.stanford.nlp.util.Index
contains(E) - Method in class edu.stanford.nlp.util.Interval: Checks whether the point p is contained inside this interval
contains(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
contains(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
contains(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
contains(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
CONTAINS_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
containsAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Can be slow.
containsAll(TwoDimensionalSet<? extends K1, ? extends K2>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
containsAny(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: if any item in toCheck is present in collection
containsEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
containsEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
containsIgnoreCase(Collection<String>, String) - Static method in class edu.stanford.nlp.util.StringUtils: Convenience method: a case-insensitive variant of Collection.contains
containsInSubarray(int[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
containsKey(E) - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns whether a Counter contains a key.
containsKey(E) - Method in interface edu.stanford.nlp.stats.Counter: Returns whether a Counter contains a key.
containsKey(E) - Method in class edu.stanford.nlp.stats.Distribution
containsKey(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Like ClassicCounter, this currently returns true if the count is explicitly 0.0 for something
containsKey(E) - Method in class edu.stanford.nlp.stats.IntCounter
containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
containsKey(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
containsKey(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Does the word exist in the dictionary?
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap: Returns true if contains the given key.
containsKey(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaMap: This is more expensive.
containsKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap: Returns true if contains the given key.
containsObject(Collection<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils: Checks whether a Collection contains a specified Object.
containsOpen(E) - Method in class edu.stanford.nlp.util.Interval
containsValue(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Unsupported.
containsValue(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
containsVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
containsVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
containsVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
content - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
CONTROLLED_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "xsubj" grammatical relation.
CONTROLLING_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "controlling subject" grammatical relation.
convert(String) - Static method in class edu.stanford.nlp.util.DataFilePaths
convertGrammarToGraphs(Pair<UnaryGrammar, BinaryGrammar>, Set<UnaryRule>, Set<BinaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
convertGraphsToGrammar(Set<TransducerGraph>, Set<UnaryRule>, Set<BinaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
convertItemSpan(Item) - Method in interface edu.stanford.nlp.parser.lexparser.LatticeScorer
convertPath(List<V>, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
convertStringEquality(List<Collection<TypedDependency>>) - Static method in class edu.stanford.nlp.trees.DependencyScoring
convertToBytes(List<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
convertToBytes(IdentityHashMap<Tree, List<Tree>>) - Method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
convertToCoreLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees: Converts the tree labels to CoreLabels.
convertToTrees(byte[]) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
convertToTrees(IdentityHashMap<Tree, byte[]>, int) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
convertToTrees(Collection<Tree>, IdentityHashMap<Tree, byte[]>, int) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
COORDINATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "coordination" grammatical relation.
COORDINATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "coordination" grammatical relation.
CoordinationTransformer - Class in edu.stanford.nlp.trees: Coordination transformer transforms a PennTreebank tree containing a coordination in a flat structure in order to get the dependencies right.
CoordinationTransformer() - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer
COPULA - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "copula" grammatical relation.
copy(double[], double[]) - Static method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
copy(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(double[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(float[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(float[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(float[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copyFile(File, File) - Static method in class edu.stanford.nlp.io.FileSystem: Copies a file.
copyLexicalizedParser(LexicalizedParser) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
copyOf(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath: Simulate Arrays.copyOf method provided by Java 6 When/if the JavaNLP-core code base moves past Java 5, this method can be removed
CoreAnnotation<V> - Interface in edu.stanford.nlp.ling: The base class for any annotation that can be marked on a CoreMap, parameterized by the type of the value associated with the annotation.
CoreAnnotations - Class in edu.stanford.nlp.ling: Set of common annotations for CoreMaps.
CoreAnnotations.AbbrAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.AbbrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
CoreAnnotations.AbgeneAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.AbgeneAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
CoreAnnotations.AbstrAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.AbstrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
CoreAnnotations.AfterAnnotation - Class in edu.stanford.nlp.ling: Annotation for the whitespace characters appear after this word.
CoreAnnotations.AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
CoreAnnotations.AnswerAnnotation - Class in edu.stanford.nlp.ling: The standard key for the answer which is a String
CoreAnnotations.AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
CoreAnnotations.AnswerObjectAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
CoreAnnotations.AntecedentAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the annotation's antecedent.
CoreAnnotations.AntecedentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
CoreAnnotations.ArgDescendentAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ArgDescendentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
CoreAnnotations.ArgumentAnnotation - Class in edu.stanford.nlp.ling: The standard key for a propbank label which is of type Argument
CoreAnnotations.ArgumentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
CoreAnnotations.BagOfWordsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.BagOfWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
CoreAnnotations.BeAnnotation - Class in edu.stanford.nlp.ling: annotation stolen from the lex parser
CoreAnnotations.BeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
CoreAnnotations.BeforeAnnotation - Class in edu.stanford.nlp.ling: Annotation for the whitespace characters appearing before this word.
CoreAnnotations.BeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
CoreAnnotations.BeginIndexAnnotation - Class in edu.stanford.nlp.ling: This indexes the beginning of a span of words, e.g., a constituent in a tree.
CoreAnnotations.BeginIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
CoreAnnotations.BestCliquesAnnotation - Class in edu.stanford.nlp.ling: Used in Task3 Pascal system
CoreAnnotations.BestCliquesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
CoreAnnotations.BestFullAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.BestFullAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
CoreAnnotations.CalendarAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the date and time associated with an annotation.
CoreAnnotations.CalendarAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
CoreAnnotations.CategoryAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.CategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
CoreAnnotations.CategoryFunctionalTagAnnotation - Class in edu.stanford.nlp.ling: The standard key for storing category with functional tags.
CoreAnnotations.CategoryFunctionalTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
CoreAnnotations.CharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the offset of the first character of an annotation.
CoreAnnotations.CharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
CoreAnnotations.CharacterOffsetEndAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the offset of the last character after the end of an annotation.
CoreAnnotations.CharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
CoreAnnotations.CharAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.CharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
CoreAnnotations.ChineseCharAnnotation - Class in edu.stanford.nlp.ling: for Chinese: character level information, segmentation
CoreAnnotations.ChineseCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
CoreAnnotations.ChineseIsSegmentedAnnotation - Class in edu.stanford.nlp.ling: Not sure exactly what this is, but it is different from ChineseSegAnnotation and seems to indicate if the text is segmented
CoreAnnotations.ChineseIsSegmentedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
CoreAnnotations.ChineseOrigSegAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ChineseOrigSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
CoreAnnotations.ChineseSegAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ChineseSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
CoreAnnotations.ChunkAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ChunkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
CoreAnnotations.CoarseTagAnnotation - Class in edu.stanford.nlp.ling: CoNLL dep parsing - coarser POS tags.
CoreAnnotations.CoarseTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
CoreAnnotations.CommonWordsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.CommonWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
CoreAnnotations.CoNLLDepAnnotation - Class in edu.stanford.nlp.ling: CoNLL dep parsing - the dependency type
CoreAnnotations.CoNLLDepAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
CoreAnnotations.CoNLLDepParentIndexAnnotation - Class in edu.stanford.nlp.ling: CoNLL dep parsing - the index of the word which is the parent of this word in the dependency tree
CoreAnnotations.CoNLLDepParentIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
CoreAnnotations.CoNLLDepTypeAnnotation - Class in edu.stanford.nlp.ling: CoNLL dep parsing - the dependency type
CoreAnnotations.CoNLLDepTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
CoreAnnotations.CoNLLPredicateAnnotation - Class in edu.stanford.nlp.ling: CoNLL SRL/dep parsing - whether the word is a predicate
CoreAnnotations.CoNLLPredicateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
CoreAnnotations.CoNLLSRLAnnotation - Class in edu.stanford.nlp.ling: CoNLL SRL/dep parsing - map which, for the current word, specifies its specific role for each predicate
CoreAnnotations.CoNLLSRLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
CoreAnnotations.ContextsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ContextsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
CoreAnnotations.CopyAnnotation - Class in edu.stanford.nlp.ling: Used in nlp.trees.
CoreAnnotations.CopyAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CopyAnnotation
CoreAnnotations.CostMagnificationAnnotation - Class in edu.stanford.nlp.ling: Key for relative value of a word - used in RTE
CoreAnnotations.CostMagnificationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
CoreAnnotations.CovertIDAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.CovertIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
CoreAnnotations.D2_LBeginAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.D2_LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
CoreAnnotations.D2_LEndAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.D2_LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
CoreAnnotations.D2_LMiddleAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.D2_LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
CoreAnnotations.DayAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DayAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
CoreAnnotations.DependentsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DependentsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
CoreAnnotations.DictAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DictAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
CoreAnnotations.DistSimAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DistSimAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
CoreAnnotations.DoAnnotation - Class in edu.stanford.nlp.ling: annotation stolen from the lex parser
CoreAnnotations.DoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
CoreAnnotations.DocDateAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DocDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
CoreAnnotations.DocIDAnnotation - Class in edu.stanford.nlp.ling: This refers to the unique identifier for a "document", where document may vary based on your application.
CoreAnnotations.DocIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
CoreAnnotations.DomainAnnotation - Class in edu.stanford.nlp.ling: Used in CRFClassifier stuff PositionAnnotation should possibly be an int - it's present as either an int or string depending on context CharAnnotation may be "CharacterAnnotation" - not sure
CoreAnnotations.DomainAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
CoreAnnotations.EndIndexAnnotation - Class in edu.stanford.nlp.ling: This indexes the end of a span of words, e.g., a constituent in a tree.
CoreAnnotations.EndIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
CoreAnnotations.EntityClassAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.EntityClassAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
CoreAnnotations.EntityRuleAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.EntityRuleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
CoreAnnotations.EntityTypeAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.EntityTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
CoreAnnotations.FeaturesAnnotation - Class in edu.stanford.nlp.ling: The standard key for the features which is a Collection
CoreAnnotations.FeaturesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
CoreAnnotations.FemaleGazAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.FemaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
CoreAnnotations.FirstChildAnnotation - Class in edu.stanford.nlp.ling: used in binarized trees to specify the first child in the rule for which this node is the parent
CoreAnnotations.FirstChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
CoreAnnotations.ForcedSentenceEndAnnotation - Class in edu.stanford.nlp.ling: This indicates the sentence should end at this token.
CoreAnnotations.ForcedSentenceEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
CoreAnnotations.FreqAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.FreqAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
CoreAnnotations.GazAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.GazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
CoreAnnotations.GazetteerAnnotation - Class in edu.stanford.nlp.ling: The standard key for the gazetteer information
CoreAnnotations.GazetteerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
CoreAnnotations.GenericTokensAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the tokens (can be words, phrases or anything that are of type CoreMap) contained by an annotation.
CoreAnnotations.GenericTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
CoreAnnotations.GeniaAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.GeniaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
CoreAnnotations.GoldAnswerAnnotation - Class in edu.stanford.nlp.ling: The standard key for gold answer which is a String
CoreAnnotations.GoldAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
CoreAnnotations.GovernorAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.GovernorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
CoreAnnotations.GrandparentAnnotation - Class in edu.stanford.nlp.ling: specifies the base state of the parent of this node in the parse tree
CoreAnnotations.GrandparentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
CoreAnnotations.HaveAnnotation - Class in edu.stanford.nlp.ling: annotation stolen from the lex parser
CoreAnnotations.HaveAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HaveAnnotation
CoreAnnotations.HeadWordStringAnnotation - Class in edu.stanford.nlp.ling: The key for storing a Head word as a string rather than a pointer (as in TreeCoreAnnotations.HeadWordAnnotation)
CoreAnnotations.HeadWordStringAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeadWordStringAnnotation
CoreAnnotations.HeightAnnotation - Class in edu.stanford.nlp.ling: Used in srl.unsup
CoreAnnotations.HeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeightAnnotation
CoreAnnotations.IDAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.IDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
CoreAnnotations.IDFAnnotation - Class in edu.stanford.nlp.ling: Inverse document frequency of the word this label represents
CoreAnnotations.IDFAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
CoreAnnotations.INAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.INAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
CoreAnnotations.IndexAnnotation - Class in edu.stanford.nlp.ling: This indexes a token number inside a sentence.
CoreAnnotations.IndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
CoreAnnotations.InterpretationAnnotation - Class in edu.stanford.nlp.ling: The standard key for the semantic interpretation
CoreAnnotations.InterpretationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
CoreAnnotations.IsDateRangeAnnotation - Class in edu.stanford.nlp.ling: it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsDateRangeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
CoreAnnotations.IsURLAnnotation - Class in edu.stanford.nlp.ling: it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsURLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
CoreAnnotations.LabelAnnotation - Class in edu.stanford.nlp.ling: Used in wsd.supwsd package
CoreAnnotations.LabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
CoreAnnotations.LabelWeightAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LabelWeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelWeightAnnotation
CoreAnnotations.LastGazAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LastGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
CoreAnnotations.LastTaggedAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LastTaggedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
CoreAnnotations.LBeginAnnotation - Class in edu.stanford.nlp.ling: Used in Gale2007ChineseSegmenter
CoreAnnotations.LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
CoreAnnotations.LeftChildrenNodeAnnotation - Class in edu.stanford.nlp.ling: used in incremental DAG parser
CoreAnnotations.LeftChildrenNodeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftChildrenNodeAnnotation
CoreAnnotations.LeftTermAnnotation - Class in edu.stanford.nlp.ling: The Standard key for storing the left terminal number relative to the root of the tree of the leftmost terminal dominated by the current node
CoreAnnotations.LeftTermAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
CoreAnnotations.LemmaAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the lemma (morphological stem) of a token.
CoreAnnotations.LemmaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
CoreAnnotations.LEndAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
CoreAnnotations.LengthAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LengthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
CoreAnnotations.LineNumberAnnotation - Class in edu.stanford.nlp.ling: Line number for a sentence in a document delimited by newlines instead of punctuation.
CoreAnnotations.LineNumberAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LineNumberAnnotation
CoreAnnotations.LMiddleAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
CoreAnnotations.MaleGazAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
CoreAnnotations.MarkingAnnotation - Class in edu.stanford.nlp.ling: Another key used for propbank - to signify core arg nodes or predicate nodes
CoreAnnotations.MarkingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
CoreAnnotations.MonthAnnotation - Class in edu.stanford.nlp.ling: Used in nlp.coref
CoreAnnotations.MonthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
CoreAnnotations.MorphoCaseAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MorphoCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation
CoreAnnotations.MorphoGenAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MorphoGenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation
CoreAnnotations.MorphoNumAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MorphoNumAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation
CoreAnnotations.MorphoPersAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MorphoPersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation
CoreAnnotations.NamedEntityTagAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the token-level named entity tag (e.g., DATE, PERSON, etc.) This key is typically set on token annotations.
CoreAnnotations.NamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation
CoreAnnotations.NeighborsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NeighborsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
CoreAnnotations.NERIDAnnotation - Class in edu.stanford.nlp.ling: This is an NER ID annotation (in case the all caps parsing didn't work out for you...)
CoreAnnotations.NERIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
CoreAnnotations.NormalizedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling: The key for the normalized value of numeric named entities.
CoreAnnotations.NormalizedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
CoreAnnotations.NotAnnotation - Class in edu.stanford.nlp.ling: annotation stolen from the lex parser
CoreAnnotations.NotAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
CoreAnnotations.NumericCompositeObjectAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumericCompositeObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeObjectAnnotation
CoreAnnotations.NumericCompositeTypeAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumericCompositeTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeTypeAnnotation
CoreAnnotations.NumericCompositeValueAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumericCompositeValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeValueAnnotation
CoreAnnotations.NumericObjectAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumericObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericObjectAnnotation
CoreAnnotations.NumericTypeAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumericTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericTypeAnnotation
CoreAnnotations.NumericValueAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumericValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericValueAnnotation
CoreAnnotations.NumerizedTokensAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumerizedTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumerizedTokensAnnotation
CoreAnnotations.NumTxtSentencesAnnotation - Class in edu.stanford.nlp.ling: Used by RTE to track number of text sentences, to determine when hyp sentences begin.
CoreAnnotations.NumTxtSentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumTxtSentencesAnnotation
CoreAnnotations.OriginalAnswerAnnotation - Class in edu.stanford.nlp.ling: Seems like this could be consolidated with something else...
CoreAnnotations.OriginalAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalAnswerAnnotation
CoreAnnotations.OriginalCharAnnotation - Class in edu.stanford.nlp.ling: Seems like this could be consolidated with something else...
CoreAnnotations.OriginalCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalCharAnnotation
CoreAnnotations.OriginalTextAnnotation - Class in edu.stanford.nlp.ling: The exact original surface form of a token.
CoreAnnotations.OriginalTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation
CoreAnnotations.ParagraphAnnotation - Class in edu.stanford.nlp.ling: used in dcoref.
CoreAnnotations.ParagraphAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphAnnotation
CoreAnnotations.ParagraphsAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the paragraphs contained by an annotation.
CoreAnnotations.ParagraphsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphsAnnotation
CoreAnnotations.ParaPositionAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ParaPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParaPositionAnnotation
CoreAnnotations.ParentAnnotation - Class in edu.stanford.nlp.ling: The standard key for the parent which is a String
CoreAnnotations.ParentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
CoreAnnotations.PartOfSpeechAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the Penn part of speech of a token.
CoreAnnotations.PartOfSpeechAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation
CoreAnnotations.PercentAnnotation - Class in edu.stanford.nlp.ling: annotation stolen from the lex parser
CoreAnnotations.PercentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
CoreAnnotations.PhraseWordsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PhraseWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsAnnotation
CoreAnnotations.PhraseWordsTagAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PhraseWordsTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsTagAnnotation
CoreAnnotations.PolarityAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PolarityAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation
CoreAnnotations.PositionAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation
CoreAnnotations.PossibleAnswersAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PossibleAnswersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
CoreAnnotations.PredictedAnswerAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PredictedAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PredictedAnswerAnnotation
CoreAnnotations.PrevChildAnnotation - Class in edu.stanford.nlp.ling: used in binarized trees to say the name of the most recent child
CoreAnnotations.PrevChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PrevChildAnnotation
CoreAnnotations.PriorAnnotation - Class in edu.stanford.nlp.ling: Used in propbank.srl
CoreAnnotations.PriorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
CoreAnnotations.ProjectedCategoryAnnotation - Class in edu.stanford.nlp.ling: The standard key for storing a projected category in the map, as a String.
CoreAnnotations.ProjectedCategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ProjectedCategoryAnnotation
CoreAnnotations.ProtoAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ProtoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation
CoreAnnotations.RoleAnnotation - Class in edu.stanford.nlp.ling: The standard key for the semantic role label of a phrase.
CoreAnnotations.RoleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
CoreAnnotations.SectionAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SectionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
CoreAnnotations.SemanticHeadTagAnnotation - Class in edu.stanford.nlp.ling: The standard key for Semantic Head Word POS which is a String
CoreAnnotations.SemanticHeadTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation
CoreAnnotations.SemanticHeadWordAnnotation - Class in edu.stanford.nlp.ling: The standard key for Semantic Head Word which is a String
CoreAnnotations.SemanticHeadWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation
CoreAnnotations.SemanticTagAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SemanticTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticTagAnnotation
CoreAnnotations.SemanticWordAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SemanticWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticWordAnnotation
CoreAnnotations.SentenceIDAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SentenceIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIDAnnotation
CoreAnnotations.SentenceIndexAnnotation - Class in edu.stanford.nlp.ling: Unique identifier within a document for a given sentence.
CoreAnnotations.SentenceIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
CoreAnnotations.SentencePositionAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SentencePositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencePositionAnnotation
CoreAnnotations.SentencesAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the sentences contained by an annotation.
CoreAnnotations.SentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation
CoreAnnotations.ShapeAnnotation - Class in edu.stanford.nlp.ling: The standard key for the "shape" of a word: a String representing the type of characters in a word, such as "Xx" for a capitalized word.
CoreAnnotations.ShapeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation
CoreAnnotations.SpaceBeforeAnnotation - Class in edu.stanford.nlp.ling: Used in Chinese segmenters for whether there was space before a character.
CoreAnnotations.SpaceBeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
CoreAnnotations.SpanAnnotation - Class in edu.stanford.nlp.ling: The standard key for span which is an IntPair
CoreAnnotations.SpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
CoreAnnotations.SpeakerAnnotation - Class in edu.stanford.nlp.ling: used in dcoref.
CoreAnnotations.SpeakerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpeakerAnnotation
CoreAnnotations.SRL_ID - Enum in edu.stanford.nlp.ling
CoreAnnotations.SRLIDAnnotation - Class in edu.stanford.nlp.ling: The key for semantic role labels (Note: please add to this description if you use this key)
CoreAnnotations.SRLIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
CoreAnnotations.SRLInstancesAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SRLInstancesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
CoreAnnotations.StackedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the token-level named entity tag (e.g., DATE, PERSON, etc.) from a previous NER tagger.
CoreAnnotations.StackedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation
CoreAnnotations.StateAnnotation - Class in edu.stanford.nlp.ling: The base version of the parser state, like NP or VBZ or ...
CoreAnnotations.StateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
CoreAnnotations.StemAnnotation - Class in edu.stanford.nlp.ling: Morphological stem of the word this label represents
CoreAnnotations.StemAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation
CoreAnnotations.SubcategorizationAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SubcategorizationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SubcategorizationAnnotation
CoreAnnotations.TagLabelAnnotation - Class in edu.stanford.nlp.ling: Used in Trees
CoreAnnotations.TagLabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
CoreAnnotations.TextAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the annotation's text.
CoreAnnotations.TextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation
CoreAnnotations.TokenBeginAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the first token included in an annotation.
CoreAnnotations.TokenBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenBeginAnnotation
CoreAnnotations.TokenEndAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the last token after the end of an annotation.
CoreAnnotations.TokenEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenEndAnnotation
CoreAnnotations.TokensAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the tokens contained by an annotation.
CoreAnnotations.TokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation
CoreAnnotations.TopicAnnotation - Class in edu.stanford.nlp.ling: Used for Topic Assignments from LDA or its equivalent models.
CoreAnnotations.TopicAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TopicAnnotation
CoreAnnotations.TrueCaseAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the token-level true case annotation (e.g., INIT_UPPER) This key is typically set on token annotations.
CoreAnnotations.TrueCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseAnnotation
CoreAnnotations.TrueCaseTextAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the annotation's true-cased text.
CoreAnnotations.TrueCaseTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseTextAnnotation
CoreAnnotations.TrueTagAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.TrueTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueTagAnnotation
CoreAnnotations.UBlockAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.UBlockAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UBlockAnnotation
CoreAnnotations.UnaryAnnotation - Class in edu.stanford.nlp.ling: whether the node is the parent in a unary rule
CoreAnnotations.UnaryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnaryAnnotation
CoreAnnotations.UnknownAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.UnknownAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnknownAnnotation
CoreAnnotations.UtteranceAnnotation - Class in edu.stanford.nlp.ling: used in dcoref.
CoreAnnotations.UtteranceAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UtteranceAnnotation
CoreAnnotations.UTypeAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.UTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UTypeAnnotation
CoreAnnotations.ValueAnnotation - Class in edu.stanford.nlp.ling: Contains the "value" - an ill-defined string used widely in MapLabel.
CoreAnnotations.ValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
CoreAnnotations.VerbSenseAnnotation - Class in edu.stanford.nlp.ling: Probank key for the Verb sense given in the Propbank Annotation, should only be in the verbnode
CoreAnnotations.VerbSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
CoreAnnotations.WebAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WebAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WebAnnotation
CoreAnnotations.WordFormAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WordFormAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
CoreAnnotations.WordnetSynAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WordnetSynAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordnetSynAnnotation
CoreAnnotations.WordPositionAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WordPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordPositionAnnotation
CoreAnnotations.WordSenseAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WordSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
CoreAnnotations.XmlContextAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.XmlContextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.XmlContextAnnotation
CoreAnnotations.XmlElementAnnotation - Class in edu.stanford.nlp.ling: Used in SimpleXMLAnnotator.
CoreAnnotations.XmlElementAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.XmlElementAnnotation
CoreAnnotations.YearAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.YearAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.YearAnnotation
coreKey - Variable in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
CoreLabel - Class in edu.stanford.nlp.ling: A CoreLabel represents a single word with ancillary information attached using CoreAnnotations.
CoreLabel() - Constructor for class edu.stanford.nlp.ling.CoreLabel: Default constructor, calls super()
CoreLabel(int) - Constructor for class edu.stanford.nlp.ling.CoreLabel: Initializes this CoreLabel, pre-allocating arrays to hold up to capacity key,value pairs.
CoreLabel(CoreLabel) - Constructor for class edu.stanford.nlp.ling.CoreLabel: Returns a new CoreLabel instance based on the contents of the given CoreLabel.
CoreLabel(CoreMap) - Constructor for class edu.stanford.nlp.ling.CoreLabel: Returns a new CoreLabel instance based on the contents of the given CoreMap.
CoreLabel(Label) - Constructor for class edu.stanford.nlp.ling.CoreLabel: Returns a new CoreLabel instance based on the contents of the given label.
CoreLabel(String[], String[]) - Constructor for class edu.stanford.nlp.ling.CoreLabel: This constructor attempts to parse the String keys into Class keys.
CoreLabel.GenericAnnotation<T> - Interface in edu.stanford.nlp.ling: Class that all "generic" annotations extend.
coreLabelFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
CoreLabelTokenFactory - Class in edu.stanford.nlp.process: Constructs CoreLabels from Strings optionally with beginning and ending (character after the end) offset positions in an original text.
CoreLabelTokenFactory() - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory: Constructor for a new token factory which will add in the word, the "current" annotation, and the begin/end position annotations.
CoreLabelTokenFactory(boolean) - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory: Constructor that allows one to choose if index annotation indicating begin/end position will be included in the label.
CoreMap - Interface in edu.stanford.nlp.util: Base type for all annotatable core objects.
CoreTokenFactory<IN extends CoreMap> - Interface in edu.stanford.nlp.process: To make tokens like CoreMap or CoreLabel.
correctDependencies(Collection<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
correctDependencies(Collection<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Destructively modify the TypedDependencyGraph to correct language-dependent dependencies.
correctTags - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: 'Correct' tags to produce verbs in VPs, etc.
cosine(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
countCloseToZero(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Counter<E> - Interface in edu.stanford.nlp.stats: An Object to double map used for keeping weights or counts for objects.
counter - Variable in class edu.stanford.nlp.stats.Distribution
Counters - Class in edu.stanford.nlp.stats: Static methods for operating on Counters.
counterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns a read-only synchronous view (not a snapshot) of this as a ClassicCounter.
countHistory(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
countInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
countMWEStatistics(Tree, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>) - Static method in class edu.stanford.nlp.international.french.pipeline.MWEPreprocessor
countNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
countNegative(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
countNonZero(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
countOriginalStates() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor: Count all the internal labels in all the trees, and set their initial state counts to 1.
countPositive(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
countSpanErrors(TreebankLanguagePack, Tree, Tree) - Static method in class edu.stanford.nlp.parser.metrics.TreeSpanScoring: Counts how many spans are present in goldTree, including preterminals, but not present in guessTree, along with how many spans are present in guessTree and not goldTree.
covariance(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
create() - Method in interface edu.stanford.nlp.util.Factory: Creates and returns a new instance of the given type.
create(String) - Static method in class edu.stanford.nlp.util.MetaClass: Creates a new MetaClass (helper method)
create(Class<?>) - Static method in class edu.stanford.nlp.util.MetaClass: Creates a new MetaClass (helper method)
createArrays(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
createFactory(Class<?>...) - Method in class edu.stanford.nlp.util.MetaClass: Creates a factory for producing instances of this class from a constructor taking the given types as arguments
createFactory(String...) - Method in class edu.stanford.nlp.util.MetaClass: Creates a factory for producing instances of this class from a constructor taking the given types as arguments
createFactory(Object...) - Method in class edu.stanford.nlp.util.MetaClass: Creates a factory for producing instances of this class from a constructor taking objects of the types given
createGraphFromPaths(List, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph: If markovOrder is zero, we always transition back to the start state If markovOrder is negative, we assume that it is infinite
createGraphFromPaths(ClassicCounter<List<T>>, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory: Creates an instance of the class produced in this factory
createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass: Create an instance of the class, inferring the type automatically, and given an array of objects as constructor parameters NOTE: the resulting instance will [unlike java] invoke the most narrow constructor rather than the one which matches the signature passed to this function
createInstance(Class<E>, Object...) - Method in class edu.stanford.nlp.util.MetaClass: Creates an instance of the class, forcing a cast to a certain type and given an array of objects as constructor parameters NOTE: the resulting instance will [unlike java] invoke the most narrow constructor rather than the one which matches the signature passed to this function
createRandomGraph(int, int, double, int, List) - Static method in class edu.stanford.nlp.fsm.TransducerGraph: For testing only.
createRandomPaths(int, int, double, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
createRecord(Properties, String) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
createRecords(Properties, String) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
cross(Set<E>, Set<F>) - Static method in class edu.stanford.nlp.util.Sets: Returns the set cross product of s1 and s2, as Pairs
CROSS_OUT - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
crossEntropy(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Note that this implementation doesn't normalize the "from" Counter.
crosses(Constituent) - Method in class edu.stanford.nlp.trees.Constituent: Detects whether this constituent overlaps a constituent without nesting, that is, whether they "cross".
crosses(Collection<Constituent>) - Method in class edu.stanford.nlp.trees.Constituent: Detects whether this constituent overlaps any of a Collection of Constituents without nesting, that is, whether it "crosses" any of them.
CTBErrorCorrectingTreeNormalizer - Class in edu.stanford.nlp.trees.international.pennchinese: This was originally written to correct a few errors Galen found in CTB3.
CTBErrorCorrectingTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer: Constructor with all of the options of the other constructor false
CTBErrorCorrectingTreeNormalizer(boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer: Build a CTBErrorCorrectingTreeNormalizer.
CTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese: The CTBTreeReaderFactory is a factory for creating a TreeReader suitable for the Penn CTB.
CTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
CTBTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
CTBTreeReaderFactory(TreeNormalizer, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
CUR_WORD_MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
curF1 - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
current() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: The current Redwood configuration; this is used to make incremental changes to an existing custom configuration.
currentToken - Variable in exception edu.stanford.nlp.trees.tregex.ParseException: This is the last token that has been consumed successfully.
currentToken - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException: This is the last token that has been consumed successfully.
customTreeVisitor - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats: Minimum support * KL to be included in output and as feature
CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats: Minimum support * KL to be included in output and as feature
CYAN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util

D

d - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
DataFilePaths - Class in edu.stanford.nlp.util: Simple utility class: reads the environment variable in ENV_VARIABLE and provides a method that converts strings which start with that environment variable to file paths.
Dataset - Interface in edu.stanford.nlp.trees.treebank: A generic interface loading, processing, and writing a data set.
Dataset.Encoding - Enum in edu.stanford.nlp.trees.treebank
DateTreeTransformer - Class in edu.stanford.nlp.trees: Flattens the following two structures:
(NP (NP (NNP Month) (CD Day) ) (, ,) (NP (CD Year) ))
becomes
(NP (NP (NNP Month) (CD Day) (, ,) (CD Year) ))
(NP (NP (NNP Month) ) (NP (CD Year) ))
becomes
(NP (NNP Month) (CD Year))
DateTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DateTreeTransformer
Datum<L,F> - Interface in edu.stanford.nlp.ling: Interface for Objects which can be described by their features.
DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood
DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
dcTags - Variable in class edu.stanford.nlp.parser.lexparser.Options: "double count" tags rewrites as word in PCFG and Dep parser.
deannotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
Debinarizer - Class in edu.stanford.nlp.parser.lexparser: Debinarizes a binary tree from the parser.
Debinarizer(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
Debinarizer(boolean, LabelFactory) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
DEBUG - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
DEBUG - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
debug(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
DEBUG_LEXICON - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
DEBUG_LEXICON_SCORE - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
debugOutputSeconds - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: If larger than 0, the parser may choose to output debug information every X seconds
decimate(Writer, Writer, Writer) - Method in class edu.stanford.nlp.trees.Treebank: Divide a Treebank into 3, by taking every 9th sentence for the dev set and every 10th for the test set.
decreaseKey(E) - Method in class edu.stanford.nlp.util.ArrayHeap: Changes the position of an element o in the heap based on a change in the ordering of o.
decreaseKey(E) - Method in interface edu.stanford.nlp.util.Heap: Raises the priority of an object in the heap.
decreasePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Demotes a key in the queue, adding it if it wasn't there already.
decrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
decrementCount(E) - Method in class edu.stanford.nlp.stats.AbstractCounter
decrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter: Decrements the count for this key by the given value.
decrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter: Decrements the count for this key by 1.0.
decrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter: Decrements the count for this key by the given value.
decrementCount(E) - Method in interface edu.stanford.nlp.stats.Counter: Decrements the count for this key by 1.0.
decrementCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter: Subtracts the given count from the current count for the given key.
decrementCount(E) - Method in class edu.stanford.nlp.stats.IntCounter: Subtracts 1 from the count for the given key.
decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
decrementCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
decrementCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
decrementCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
decrementCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter: Subtracts the given count from the current counts for each of the given keys.
decrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Subtracts 1 from the counts of each of the given keys.
deepCopy(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
deepCopy() - Method in class edu.stanford.nlp.trees.Tree: Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree: Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.Tree: Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
deepCopy() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
deepCopyFromGraphs(List<SemanticGraph>, List<Integer>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Like makeFromGraphs, but it makes a deep copy of the graphs and renumbers the index words.
DeepTree - Class in edu.stanford.nlp.trees: A tree combined with a map from subtree to SimpleMatrix vectors.
DeepTree(Tree, IdentityHashMap<Tree, SimpleMatrix>, double) - Constructor for class edu.stanford.nlp.trees.DeepTree
DEFAULT_BATCH_SIZE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When training the DV parsing method, how many trees to use in one batch
DEFAULT_BOUNDARY_FOLLOWERS - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
DEFAULT_DELTA_MARGIN - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DEFAULT_DV_ITERATIONS - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When training the DV parsing method, how many iterations to loop
DEFAULT_ENCODING - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Use this as the default encoding for Readers and Writers of Treebank data.
DEFAULT_ENCODING - Static variable in interface edu.stanford.nlp.trees.TreebankLanguagePack: Use this as the default encoding for Readers and Writers of Treebank data.
DEFAULT_FORMAT - Static variable in class edu.stanford.nlp.ling.CoreLabel
DEFAULT_GF_CHAR - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
DEFAULT_GOLD_FILENAME - Static variable in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
DEFAULT_K_BEST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When training the DV parsing method, how many of the top K trees to analyze from the underlying parser
DEFAULT_LEARNING_RATE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DEFAULT_PARSER_FILE - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
DEFAULT_PARSER_LOC - Static variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
DEFAULT_QN_ITERATIONS_PER_BATCH - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When training the DV parsing method, how many iterations to loop for one batch of trees
DEFAULT_REG_L1 - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
DEFAULT_REGCOST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: regularization constant
DEFAULT_SCALING_FOR_INIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DEFAULT_SENTENCE_BOUNDARIES_TO_DISCARD - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
DEFAULT_SENTENCE_DELIMS - Static variable in class edu.stanford.nlp.process.DocumentPreprocessor
DEFAULT_TEST_FILENAME - Static variable in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
DEFAULT_TREE_FILE_SUFFIX - Static variable in class edu.stanford.nlp.trees.Treebank
DEFAULT_UNK_WORD - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DEFAULT_USE_GOOD_TURNING_UNKNOWN_WORD_MODEL - Static variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Parameters specific for creating a ChineseLexicon
DEFAULT_WORD_VECTOR_FILE - Static variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions: RS: file for Turian's word vectors The default value is an example of size 25 word vectors on the nlp machines
defaultCompiler - Static variable in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
defaultEncoding - Static variable in class edu.stanford.nlp.io.IOUtils
defaultLeftRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: These are built automatically from categoriesToAvoid and used in a fairly different fashion from defaultRule (above).
DefaultLexicalMapper - Class in edu.stanford.nlp.international.arabic.pipeline: Applies a default set of lexical transformations that have been empirically validated in various Arabic tasks.
DefaultLexicalMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
DefaultMapper - Class in edu.stanford.nlp.trees.treebank
DefaultMapper() - Constructor for class edu.stanford.nlp.trees.treebank.DefaultMapper
defaultReturnValue() - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns the default return value.
defaultReturnValue() - Method in interface edu.stanford.nlp.stats.Counter: Returns the default return value.
defaultReturnValue() - Method in class edu.stanford.nlp.stats.IntCounter
defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
defaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
defaultReturnValue() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
defaultReturnValue(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
defaultRightRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
defaultRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Default direction if no rule is found for category (the head/parent).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams: Return a default sentence for the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Return a default sentence for the language (for testing)
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams: Return a default sentence of the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams: Return a default sentence for the language (for testing)
defaultTestSentence() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Return a default sentence of the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams: Returns the first sentence of TueBaDZ.
delegate - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
DELETE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
DELETE_EXCEPT_BETWEEN_ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
deleteDir(File) - Static method in class edu.stanford.nlp.io.FileSystem: Recursively deletes a directory, including all files and sub-directories.
deleteOutofRange(Counter<E>, int, int) - Static method in class edu.stanford.nlp.stats.Counters: Delete 'top' and 'bottom' number of elements from the top and bottom respectively
deleteSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
deltaClone() - Method in class edu.stanford.nlp.util.CollectionValuedMap: Creates a "delta clone" of this Map, where only the differences are represented.
DeltaCollectionValuedMap<K,V> - Class in edu.stanford.nlp.util: Implementation of CollectionValuedMap that appears to store an "original" map and changes to that map.
DeltaCollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaCollectionValuedMap
deltaDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
deltaDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
deltaDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
deltaDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
deltaEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
deltaEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
DeltaIndex<E> - Class in edu.stanford.nlp.util: A class that has a backing index, such as a hash index you don't want changed, and another index which will hold extra entries that get added during the life of the index.
DeltaIndex(Index<E>) - Constructor for class edu.stanford.nlp.util.DeltaIndex
DeltaIndex(Index<E>, Index<E>) - Constructor for class edu.stanford.nlp.util.DeltaIndex
DeltaMap<K,V> - Class in edu.stanford.nlp.util: A Map which wraps an original Map, and only stores the changes (deltas) from the original Map.
DeltaMap(Map<K, V>, MapFactory<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap: This is very cheap.
DeltaMap(Map<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap
deltaMargin - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: How much to penalize the wrong trees for how different they are from the gold tree when training
dep() - Method in class edu.stanford.nlp.trees.TypedDependency
Dependencies - Class in edu.stanford.nlp.trees: Utilities for Dependency objects.
dependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
dependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Returns the set of (governor, dependent) dependencies in this GrammaticalStructure.
dependencies() - Method in class edu.stanford.nlp.trees.Tree: Return a Set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
dependencies(Filter<Dependency<Label, Label, Object>>) - Method in class edu.stanford.nlp.trees.Tree
dependencies(Filter<Dependency<Label, Label, Object>>, boolean, boolean, boolean) - Method in class edu.stanford.nlp.trees.Tree: Return a set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
dependencies(Filter<Dependency<Label, Label, Object>>, HeadFinder) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Return a set of node-node dependencies, represented as Dependency objects, for the Tree.
Dependencies.DependentPuncTagRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
Dependencies.DependentPuncTagRejectFilter(Filter<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
Dependencies.DependentPuncWordRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
Dependencies.DependentPuncWordRejectFilter(Filter<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree) - Method in interface edu.stanford.nlp.trees.DependencyPrinter
dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Dependency<G extends Label,D extends Label,N> - Interface in edu.stanford.nlp.trees: An individual dependency between a governor and a dependent.
dependencyCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor: This is where all dependencies are stored (using full tag space).
dependencyFactory() - Method in interface edu.stanford.nlp.trees.Dependency: Provide a factory for this kind of dependency
DependencyFactory - Interface in edu.stanford.nlp.trees: A factory for dependencies of a certain type.
dependencyFactory() - Method in class edu.stanford.nlp.trees.NamedDependency
dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedDependency
DependencyGrammar - Interface in edu.stanford.nlp.parser.lexparser: An interface for DependencyGrammars.
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
dependencyIndexComparator() - Static method in class edu.stanford.nlp.trees.Dependencies: A Comparator for Dependencies based on their dependent annotation.
dependencyObjectify(Tree, HeadFinder, TreeTransformer, DependencyTyper<E>) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Returns the set of dependencies in a tree, according to some DependencyTyper.
DependencyPrinter - Interface in edu.stanford.nlp.trees
DependencyReader - Interface in edu.stanford.nlp.trees
DependencyScoring - Class in edu.stanford.nlp.trees: Scoring of typed dependencies
DependencyScoring(List<Collection<TypedDependency>>, boolean) - Constructor for class edu.stanford.nlp.trees.DependencyScoring
DependencyScoring(String, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.DependencyScoring
DependencyScoring(String) - Constructor for class edu.stanford.nlp.trees.DependencyScoring
DependencyScoring.Score - Class in edu.stanford.nlp.trees
DependencyScoring.Score(int, int, int, int, int, int, int, int, ClassicCounter<String>, ClassicCounter<String>) - Constructor for class edu.stanford.nlp.trees.DependencyScoring.Score
DependencyTreeTransformer - Class in edu.stanford.nlp.trees: Transforms an English structure parse tree in order to get the dependencies right:
-- put a ROOT node
-- remove NONE nodes
-- retain only NP-TMP, NP-ADV, UCP-TMP tags
The UCP- tags will later be turned into NP- anyway
(Note [cdm]: A lot of this overlaps other existing functionality in trees.
DependencyTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DependencyTreeTransformer
DependencyTyper<T> - Interface in edu.stanford.nlp.trees: A generified interface for making some kind of dependency object between a head and dependent.
dependent() - Method in interface edu.stanford.nlp.trees.Dependency: Describes the dependent (argument/modifier) of the dependency relation.
DEPENDENT - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation: The "dependent" grammatical relation, which is the inverse of "governor".
dependent() - Method in class edu.stanford.nlp.trees.UnnamedDependency
dependentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
depth() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns the depth of the GeneralizedCounter (i.e., the dimension of the distribution).
depth() - Method in class edu.stanford.nlp.trees.Tree: Finds the depth of the tree.
depth(Tree) - Method in class edu.stanford.nlp.trees.Tree: Finds the distance from this node to the specified node.
depth - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
depthFirstSearch(boolean, StringBuffer) - Method in class edu.stanford.nlp.fsm.TransducerGraph
depWeight - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Weighting on dependency log probs.
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
derivativeAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
derivativeAt(float[]) - Method in interface edu.stanford.nlp.optimization.DiffFloatFunction: Returns the first-derivative vector at the input location.
derivativeAt(double[]) - Method in interface edu.stanford.nlp.optimization.DiffFunction: Returns the first-derivative vector at the input location.
descendants(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the set of descendants governed by this node in the graph.
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.trees.DeepTree: A comparator that can be used with Collections.sort() that puts the highest scoring tree first
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
deserializeCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
determineHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Determine which daughter of the current parse tree is the head.
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Determine which daughter of the current parse tree is the head.
determineHead(Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder: Determine which daughter of the current parse tree is the head.
determineHead(Tree, Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder: Determine which daughter of the current parse tree is the head given the parent of the tree.
determineHead(Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder: Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder: Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder: Determine which daughter of the current parse tree is the head.
DETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "determiner" grammatical relation.
DETERMINER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "determiner modifier" grammatical relation.
dg - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
dg - Variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
dg - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
diag(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns diagonal elements of the given (square) matrix.
diff(Counter<T>, Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
diff(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns all objects in list1 that are not in list2
diff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets: Returns the difference of sets s1 and s2.
difference(Collection, Collection) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
DiffFloatFunction - Interface in edu.stanford.nlp.optimization: An interface for once-differentiable double-valued functions over double arrays.
DiffFunction - Interface in edu.stanford.nlp.optimization: An interface for once-differentiable double-valued functions over double arrays.
DijkstraShortestPath - Class in edu.stanford.nlp.graph
DIM - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "direct object" grammatical relation.
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "direct object" grammatical relation.
DirectedMultiGraph<V,E> - Class in edu.stanford.nlp.graph: Simple graph library; this is directed for now.
DirectedMultiGraph() - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
directional - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
directional - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor: Whether left and right is distinguished.
directional - Variable in class edu.stanford.nlp.parser.lexparser.Options: Whether dependency grammar considers left/right direction.
DisabledPreferences - Class in edu.stanford.nlp.util: A do-nothing Preferences implementation so that we can avoid the hassles of the JVM Preference implementations.
DisabledPreferences() - Constructor for class edu.stanford.nlp.util.DisabledPreferences
DisabledPreferencesFactory - Class in edu.stanford.nlp.util: Returns do-nothing Preferences implementation.
DisabledPreferencesFactory() - Constructor for class edu.stanford.nlp.util.DisabledPreferencesFactory
disableWarnings() - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper: Disable warnings generated when tokens are escaped.
discardFrags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "discourse element" grammatical relation.
discoverEdge(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
discoverHook(Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
discoverItem(Item) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: returns a DiskTreebank appropriate to the treebank source
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Uses a DiskTreebank with a CHTBTokenizer and a BobChrisTreeNormalizer.
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams: Allows you to read in trees from the source you want.
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
diskTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: returns a DiskTreebank appropriate to the treebank source
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
DiskTreebank - Class in edu.stanford.nlp.trees: A DiskTreebank is a Collection of Trees.
DiskTreebank() - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new DiskTreebank.
DiskTreebank(String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new treebank, set the encoding for file access.
DiskTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new DiskTreebank.
DiskTreebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new DiskTreebank.
DiskTreebank(int) - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new Treebank.
DiskTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new Treebank.
dispatchable(Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger: Returns true if an object has special logic for pretty logging (e.g.
display(boolean) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
display() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: display language-specific settings
display() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
display() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.Options
display() - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
display() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
display() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: display language-specific settings
display() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
display(boolean) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
display(boolean) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
display(boolean) - Method in interface edu.stanford.nlp.parser.metrics.Eval
display(boolean, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.EvalbByCat
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.TaggingEval
DISPLAY_SCORES - Static variable in class edu.stanford.nlp.trees.Tree
displayHeadScores() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: This displays a headScore matrix, which will be valid after parsing a sentence.
distance - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
distance - Variable in class edu.stanford.nlp.parser.lexparser.Options: Use distance bins in the dependency calculations
distanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
distanceBin(int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Distribution<E> - Class in edu.stanford.nlp.stats: Immutable class for representing normalized, smoothed discrete distributions from Counters.
distributionFromLogisticCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution: Maps a counter representing the linear weights of a multiclass logistic regression model to the probabilities of each class.
DistributionPackage - Class in edu.stanford.nlp.trees.treebank: Adds data files to a tar'd / gzip'd distribution package.
DistributionPackage() - Constructor for class edu.stanford.nlp.trees.treebank.DistributionPackage
distributionWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution: Returns a Distribution that uses prior as a Dirichlet prior weighted by weight.
distSimClass(String) - Method in class edu.stanford.nlp.process.DistSimClassifier
DistSimClassifier - Class in edu.stanford.nlp.process: Maps a String to its distributional similarity class.
DistSimClassifier(String, boolean, boolean) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
DistSimClassifier(String, boolean, boolean, String) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
DistSimClassifier(String, String, String, int, boolean, boolean, String) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
divideInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Divides every non-zero count in target by the corresponding value in the denominator Counter.
divideInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Divides each value in target by the given divisor, in place.
divideInPlace(TwoDimensionalCounter<A, B>, double) - Static method in class edu.stanford.nlp.stats.Counters
division(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns c1 divided by c2.
DO_TAGS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
docID() - Method in class edu.stanford.nlp.ling.CoreLabel
docID() - Method in interface edu.stanford.nlp.ling.HasIndex
doCompaction(TransducerGraph, List, List) - Method in class edu.stanford.nlp.parser.lexparser.ExactGrammarCompactor
doCompaction(TransducerGraph, List<List<String>>, List<List<String>>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
Document<L,F,T> - Interface in edu.stanford.nlp.ling: Represents a text document as a list of Words with a String title.
DocumentPreprocessor - Class in edu.stanford.nlp.process: Produces a list of sentences from either a plain text or XML document.
DocumentPreprocessor(Reader) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor: Constructs a preprocessor from an existing input stream.
DocumentPreprocessor(Reader, DocumentPreprocessor.DocType) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
DocumentPreprocessor(String) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
DocumentPreprocessor(String, DocumentPreprocessor.DocType) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
DocumentPreprocessor(String, DocumentPreprocessor.DocType, String) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor: Constructs a preprocessor from a file at a path, which can be either a filesystem location, a classpath entry, or a URL.
DocumentPreprocessor.DocType - Enum in edu.stanford.nlp.process
DocumentProcessor<IN,OUT,L,F> - Interface in edu.stanford.nlp.process: Top-level interface for transforming Documents.
DocumentReader<L> - Class in edu.stanford.nlp.ling: Basic mechanism for reading in Documents from various input sources.
DocumentReader() - Constructor for class edu.stanford.nlp.ling.DocumentReader: Constructs a new DocumentReader without an initial input source.
DocumentReader(Reader) - Constructor for class edu.stanford.nlp.ling.DocumentReader: Constructs a new DocumentReader using a PTBTokenizerFactory and keeps the original text.
DocumentReader(Reader, TokenizerFactory<? extends HasWord>, boolean) - Constructor for class edu.stanford.nlp.ling.DocumentReader: Constructs a new DocumentReader that will read text from the given Reader and tokenize it into words using the given Tokenizer.
doDep - Variable in class edu.stanford.nlp.parser.lexparser.Options: Do a dependency parse of the sentence.
doing(String) - Method in class edu.stanford.nlp.util.Timing: Print the start of timing message to stderr and start the timer.
domainDimension() - Method in interface edu.stanford.nlp.optimization.FloatFunction: Returns the number of dimensions in the function's domain
domainDimension() - Method in interface edu.stanford.nlp.optimization.Function: Returns the number of dimensions in the function's domain
domainDimension() - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
dominates(Tree) - Method in class edu.stanford.nlp.trees.Tree: Returns true if this dominates the Tree passed in as an argument.
dominatesC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Verbal distance -- mark whether symbol dominates a conjunction (CC)
dominatesI - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Verbal distance -- mark whether symbol dominates a preposition (IN)
dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Verbal distance -- mark whether symbol dominates a verb (V*).
dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Verbal distance -- mark whether symbol dominates a verb (V*, MD).
dominationPath(Tree) - Method in class edu.stanford.nlp.trees.Tree: Returns the path of nodes leading down to a dominated node, including this and the dominated node itself.
done() - Method in class edu.stanford.nlp.util.Timing: Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.
done(String) - Method in class edu.stanford.nlp.util.Timing: Give a line saying that something is " done".
DONT_CAPITALIZE_TIMEX - Static variable in class edu.stanford.nlp.process.Americanize
dontPrintChannels() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Do not print a margin with the channels corresponding to a log entry.
doPCFG - Variable in class edu.stanford.nlp.parser.lexparser.Options: Do a PCFG parse of the sentence.
doRecovery - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If true, then failure of the PCFG factor to parse a sentence will trigger parse recovery mode.
dotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns the product of c1 and c2.
dotProduct(Counter<E>, double[], Index<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns the product of Counter c and double[] a, using Index idx to map entries in C onto a.
dotProductInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Multiplies every count in target by the corresponding value in the term Counter.
doubleArrayToFloatArray(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
doubleArrayToFloatArray(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
doubleMax() - Method in class edu.stanford.nlp.stats.IntCounter
doubleValue() - Method in class edu.stanford.nlp.util.MutableDouble
doubleValue() - Method in class edu.stanford.nlp.util.MutableInteger
dparser - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
drawSample() - Method in class edu.stanford.nlp.stats.Distribution: Exactly the same as sampleFrom(), needed for the Sampler interface.
drawSample(Random) - Method in class edu.stanford.nlp.stats.Distribution: A method to draw a sample, providing an own random number generator.
drawSample(Random) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
drawSample() - Method in interface edu.stanford.nlp.stats.Sampler
dump() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
dump(PrintStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
dump() - Method in class edu.stanford.nlp.util.ArrayHeap
dumpSizes() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
dumpStats() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
duplicateKeepNodes(SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: This creates a new graph based off the given, but uses the existing nodes objects.
dvBatchSize - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
dvIterations - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
dvKBest - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DVModel - Class in edu.stanford.nlp.parser.dvparser
DVModel(Options, Index<String>, UnaryGrammar, BinaryGrammar) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModel
DVModel(TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>, Options) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModel
DVModelReranker - Class in edu.stanford.nlp.parser.dvparser
DVModelReranker(DVModel) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModelReranker
DVModelReranker.Query - Class in edu.stanford.nlp.parser.dvparser
DVModelReranker.Query() - Constructor for class edu.stanford.nlp.parser.dvparser.DVModelReranker.Query
DVP_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "dvp marker" grammatical relation.
DVParser - Class in edu.stanford.nlp.parser.dvparser
DVParser(DVModel, LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParser
DVParser(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParser
DVParserCostAndGradient - Class in edu.stanford.nlp.parser.dvparser
DVParserCostAndGradient(List<Tree>, IdentityHashMap<Tree, List<Tree>>, DVModel, Options) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
DVPM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "dvp modifier" grammatical relation.
dvSeed - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
dvSimplifiedModel - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Make the dv model as simple as possible
DybroFrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french: Implements the head finding rules from Dybro-Johansen master's thesis.
DybroFrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
DybroFrenchHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
dynamicCounterWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution: Like normalizedCounterWithDirichletPrior except probabilities are computed dynamically from the counter and prior instead of all at once up front.

E

Edge - Class in edu.stanford.nlp.parser.lexparser: Class for parse edges.
Edge(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Edge
Edge(Edge) - Constructor for class edu.stanford.nlp.parser.lexparser.Edge
edgeCount() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
edgeIterable() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
edgeIterable() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
edgeIterator() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
edgeListSorted() - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns an ordered list of edges in the graph.
editDistance(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Computes the Levenshtein (edit) distance of the two given Strings.
edu.stanford.nlp.fsm - package edu.stanford.nlp.fsm
edu.stanford.nlp.graph - package edu.stanford.nlp.graph
edu.stanford.nlp.international - package edu.stanford.nlp.international
edu.stanford.nlp.international.arabic - package edu.stanford.nlp.international.arabic
edu.stanford.nlp.international.arabic.pipeline - package edu.stanford.nlp.international.arabic.pipeline
edu.stanford.nlp.international.arabic.process - package edu.stanford.nlp.international.arabic.process
edu.stanford.nlp.international.french - package edu.stanford.nlp.international.french
edu.stanford.nlp.international.french.pipeline - package edu.stanford.nlp.international.french.pipeline
edu.stanford.nlp.international.french.process - package edu.stanford.nlp.international.french.process
edu.stanford.nlp.international.morph - package edu.stanford.nlp.international.morph
edu.stanford.nlp.io - package edu.stanford.nlp.io
edu.stanford.nlp.io.ui - package edu.stanford.nlp.io.ui
edu.stanford.nlp.ling - package edu.stanford.nlp.ling
edu.stanford.nlp.math - package edu.stanford.nlp.math
edu.stanford.nlp.objectbank - package edu.stanford.nlp.objectbank
edu.stanford.nlp.optimization - package edu.stanford.nlp.optimization
edu.stanford.nlp.parser - package edu.stanford.nlp.parser: This package contains a few simple interfaces for the parsers in the various subpackages.
edu.stanford.nlp.parser.dvparser - package edu.stanford.nlp.parser.dvparser
edu.stanford.nlp.parser.lexparser - package edu.stanford.nlp.parser.lexparser: This package contains implementations of three probabilistic parsers for natural language text.
edu.stanford.nlp.parser.lexparser.demo - package edu.stanford.nlp.parser.lexparser.demo
edu.stanford.nlp.parser.metrics - package edu.stanford.nlp.parser.metrics
edu.stanford.nlp.parser.server - package edu.stanford.nlp.parser.server
edu.stanford.nlp.parser.tools - package edu.stanford.nlp.parser.tools
edu.stanford.nlp.parser.ui - package edu.stanford.nlp.parser.ui
edu.stanford.nlp.pipeline - package edu.stanford.nlp.pipeline
edu.stanford.nlp.process - package edu.stanford.nlp.process
edu.stanford.nlp.semgraph - package edu.stanford.nlp.semgraph
edu.stanford.nlp.stats - package edu.stanford.nlp.stats
edu.stanford.nlp.swing - package edu.stanford.nlp.swing
edu.stanford.nlp.tagger.io - package edu.stanford.nlp.tagger.io
edu.stanford.nlp.tagger.maxent - package edu.stanford.nlp.tagger.maxent
edu.stanford.nlp.trees - package edu.stanford.nlp.trees
edu.stanford.nlp.trees.international.arabic - package edu.stanford.nlp.trees.international.arabic
edu.stanford.nlp.trees.international.french - package edu.stanford.nlp.trees.international.french
edu.stanford.nlp.trees.international.hebrew - package edu.stanford.nlp.trees.international.hebrew
edu.stanford.nlp.trees.international.negra - package edu.stanford.nlp.trees.international.negra
edu.stanford.nlp.trees.international.pennchinese - package edu.stanford.nlp.trees.international.pennchinese
edu.stanford.nlp.trees.international.tuebadz - package edu.stanford.nlp.trees.international.tuebadz
edu.stanford.nlp.trees.treebank - package edu.stanford.nlp.trees.treebank
edu.stanford.nlp.trees.tregex - package edu.stanford.nlp.trees.tregex
edu.stanford.nlp.trees.tregex.tsurgeon - package edu.stanford.nlp.trees.tregex.tsurgeon
edu.stanford.nlp.ui - package edu.stanford.nlp.ui
edu.stanford.nlp.util - package edu.stanford.nlp.util
edu.stanford.nlp.util.concurrent - package edu.stanford.nlp.util.concurrent
edu.stanford.nlp.util.logging - package edu.stanford.nlp.util.logging
elements - Variable in class edu.stanford.nlp.util.Beam
elementwiseApplyNonlinearity(SimpleMatrix) - Static method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
elems() - Method in class edu.stanford.nlp.util.IntTuple
EMPTY - Static variable in class edu.stanford.nlp.ling.Word: Word representation of an empty.
EMPTY - Static variable in class edu.stanford.nlp.util.logging.LogRecordHandler: An empty list to serve as the FALSE token for filters
empty() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: An empty Redwood configuration.
EMPTY_LEAF - Static variable in class edu.stanford.nlp.trees.international.french.FrenchTreeReader
EMPTY_STRING - Static variable in class edu.stanford.nlp.ling.Word: String representation of an empty.
EMPTY_STRING_ARRAY - Static variable in class edu.stanford.nlp.util.StringUtils
EMPTY_TREE_ARRAY - Static variable in class edu.stanford.nlp.trees.Tree: A leaf node should have a zero-length array for its children.
emptyFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
enc - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: The encoding for file input.
encodedInputStreamReader(InputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils: Create a Reader with an explicit encoding around an InputStream.
encodedOutputStreamPrintWriter(OutputStream, String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils: Create a Reader with an explicit encoding around an InputStream.
encodedOutputStreamWriter(OutputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils: Create a Reader with an explicit encoding around an InputStream.
ENCODING - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
ENCODING - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
ENCODING - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
encoding - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
encoding() - Method in class edu.stanford.nlp.trees.Treebank: Returns the encoding in use for treebank file bytestream access.
ENCODING_PROPERTY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
EncodingFileReader - Class in edu.stanford.nlp.io: This is a convenience class which works almost exactly like FileReader but allows for the specification of input encoding.
EncodingFileReader(String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader: Creates a new EncodingFileReader, given the name of the file to read from.
EncodingFileReader(String, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader: Creates a new EncodingFileReader, given the name of the file to read from and an encoding
EncodingFileReader(File) - Constructor for class edu.stanford.nlp.io.EncodingFileReader: Creates a new EncodingFileReader, given the File to read from, and using default of utf-8.
EncodingFileReader(File, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader: Creates a new FileReader, given the File to read from and encoding.
EncodingFileReader(FileDescriptor) - Constructor for class edu.stanford.nlp.io.EncodingFileReader: Creates a new FileReader, given the FileDescriptor to read from.
encodingMap - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
EncodingPrintWriter - Class in edu.stanford.nlp.io: A convenience IO class with print and println statements to standard output and standard error allowing encoding in an arbitrary character set.
EncodingPrintWriter.err - Class in edu.stanford.nlp.io: Print methods wrapped around System.err
EncodingPrintWriter.out - Class in edu.stanford.nlp.io: Print methods wrapped around System.out
end - Variable in class edu.stanford.nlp.parser.lexparser.Item
end - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
end - Variable in class edu.stanford.nlp.parser.lexparser.ParserConstraint
end() - Method in class edu.stanford.nlp.trees.Constituent: access end node.
end() - Method in class edu.stanford.nlp.trees.SimpleConstituent: access end node.
end_Track(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
end_track() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
endDoing() - Static method in class edu.stanford.nlp.util.Timing: Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.
endDoing(String) - Static method in class edu.stanford.nlp.util.Timing: Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.
endNode - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
endOfTagMap - Variable in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
endPosition() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the ending character offset of the label (or -1 if none).
endPosition() - Method in interface edu.stanford.nlp.ling.HasOffset: Return the ending character offset of the label (or -1 if none).
endPosition() - Method in class edu.stanford.nlp.ling.StringLabel
endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood: Signal that all threads have run to completion, and the multithreaded environment is over.
endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
endTime() - Static method in class edu.stanford.nlp.util.Timing: Return elapsed time on (static) timer (without stopping timer).
endTime(String, PrintStream) - Static method in class edu.stanford.nlp.util.Timing: Print elapsed time on (static) timer (without stopping timer).
endTime(String) - Static method in class edu.stanford.nlp.util.Timing: Print elapsed time on (static) timer to System.err (without stopping timer).
endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood: End a "track;" that is, return to logging at one level shallower.
endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood: A utility method for closing calls to the anonymous startTrack() call.
endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
EnglishGrammaticalRelations - Class in edu.stanford.nlp.trees: EnglishGrammaticalRelations is a set of GrammaticalRelation objects for the English language.
EnglishGrammaticalRelations.AdjectivalComplementGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.AdjectivalComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AdjectivalComplementGRAnnotation
EnglishGrammaticalRelations.AdjectivalModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.AdjectivalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AdjectivalModifierGRAnnotation
EnglishGrammaticalRelations.AdvClauseModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.AdvClauseModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AdvClauseModifierGRAnnotation
EnglishGrammaticalRelations.AdverbialModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.AdverbialModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AdverbialModifierGRAnnotation
EnglishGrammaticalRelations.AgentGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.AgentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AgentGRAnnotation
EnglishGrammaticalRelations.AppositionalModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.AppositionalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AppositionalModifierGRAnnotation
EnglishGrammaticalRelations.ArgumentGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ArgumentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ArgumentGRAnnotation
EnglishGrammaticalRelations.AttributiveGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.AttributiveGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AttributiveGRAnnotation
EnglishGrammaticalRelations.AuxModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.AuxModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AuxModifierGRAnnotation
EnglishGrammaticalRelations.AuxPassiveGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.AuxPassiveGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AuxPassiveGRAnnotation
EnglishGrammaticalRelations.ClausalComplementGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ClausalComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ClausalComplementGRAnnotation
EnglishGrammaticalRelations.ClausalPassiveSubjectGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ClausalPassiveSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ClausalPassiveSubjectGRAnnotation
EnglishGrammaticalRelations.ClausalSubjectGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ClausalSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ClausalSubjectGRAnnotation
EnglishGrammaticalRelations.ComplementGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ComplementGRAnnotation
EnglishGrammaticalRelations.ConjunctGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ConjunctGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ConjunctGRAnnotation
EnglishGrammaticalRelations.ControllingSubjectGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ControllingSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ControllingSubjectGRAnnotation
EnglishGrammaticalRelations.CoordinationGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.CoordinationGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.CoordinationGRAnnotation
EnglishGrammaticalRelations.CopulaGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.CopulaGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.CopulaGRAnnotation
EnglishGrammaticalRelations.DeterminerGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.DeterminerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.DeterminerGRAnnotation
EnglishGrammaticalRelations.DirectObjectGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.DirectObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.DirectObjectGRAnnotation
EnglishGrammaticalRelations.DiscourseElementGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.DiscourseElementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.DiscourseElementGRAnnotation
EnglishGrammaticalRelations.ExpletiveGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ExpletiveGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ExpletiveGRAnnotation
EnglishGrammaticalRelations.GoesWithGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.GoesWithGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.GoesWithGRAnnotation
EnglishGrammaticalRelations.IndirectObjectGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.IndirectObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.IndirectObjectGRAnnotation
EnglishGrammaticalRelations.InfinitivalModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.InfinitivalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.InfinitivalModifierGRAnnotation
EnglishGrammaticalRelations.MarkerGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.MarkerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.MarkerGRAnnotation
EnglishGrammaticalRelations.ModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ModifierGRAnnotation
EnglishGrammaticalRelations.MultiWordExpressionGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.MultiWordExpressionGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.MultiWordExpressionGRAnnotation
EnglishGrammaticalRelations.NegationModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.NegationModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NegationModifierGRAnnotation
EnglishGrammaticalRelations.NominalPassiveSubjectGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.NominalPassiveSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NominalPassiveSubjectGRAnnotation
EnglishGrammaticalRelations.NominalSubjectGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.NominalSubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NominalSubjectGRAnnotation
EnglishGrammaticalRelations.NounCompoundModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.NounCompoundModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NounCompoundModifierGRAnnotation
EnglishGrammaticalRelations.NpAdverbialModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.NpAdverbialModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NpAdverbialModifierGRAnnotation
EnglishGrammaticalRelations.NumberModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.NumberModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NumberModifierGRAnnotation
EnglishGrammaticalRelations.NumericModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.NumericModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.NumericModifierGRAnnotation
EnglishGrammaticalRelations.ObjectGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ObjectGRAnnotation
EnglishGrammaticalRelations.ParataxisGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ParataxisGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ParataxisGRAnnotation
EnglishGrammaticalRelations.ParticipialModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ParticipialModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ParticipialModifierGRAnnotation
EnglishGrammaticalRelations.PhrasalVerbParticleGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PhrasalVerbParticleGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PhrasalVerbParticleGRAnnotation
EnglishGrammaticalRelations.PossessionModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PossessionModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PossessionModifierGRAnnotation
EnglishGrammaticalRelations.PossessiveModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PossessiveModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PossessiveModifierGRAnnotation
EnglishGrammaticalRelations.PreconjunctGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PreconjunctGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PreconjunctGRAnnotation
EnglishGrammaticalRelations.PredeterminerGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PredeterminerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PredeterminerGRAnnotation
EnglishGrammaticalRelations.PredicateGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PredicateGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PredicateGRAnnotation
EnglishGrammaticalRelations.PrepositionalComplementGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PrepositionalComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PrepositionalComplementGRAnnotation
EnglishGrammaticalRelations.PrepositionalModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PrepositionalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PrepositionalModifierGRAnnotation
EnglishGrammaticalRelations.PrepositionalObjectGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PrepositionalObjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PrepositionalObjectGRAnnotation
EnglishGrammaticalRelations.PunctuationGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PunctuationGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PunctuationGRAnnotation
EnglishGrammaticalRelations.QuantifierModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.QuantifierModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.QuantifierModifierGRAnnotation
EnglishGrammaticalRelations.ReferentGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ReferentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ReferentGRAnnotation
EnglishGrammaticalRelations.RelativeClauseModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.RelativeClauseModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.RelativeClauseModifierGRAnnotation
EnglishGrammaticalRelations.RelativeGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.RelativeGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.RelativeGRAnnotation
EnglishGrammaticalRelations.SemanticDependentGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.SemanticDependentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.SemanticDependentGRAnnotation
EnglishGrammaticalRelations.SubjectGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.SubjectGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.SubjectGRAnnotation
EnglishGrammaticalRelations.TemporalModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.TemporalModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.TemporalModifierGRAnnotation
EnglishGrammaticalRelations.XClausalComplementGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.XClausalComplementGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.XClausalComplementGRAnnotation
EnglishGrammaticalStructure - Class in edu.stanford.nlp.trees: A GrammaticalStructure for English.
EnglishGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Construct a new GrammaticalStructure from an existing parse tree.
EnglishGrammaticalStructure(Tree, Filter<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure: This gets used by GrammaticalStructureFactory (by reflection).
EnglishGrammaticalStructure(Tree, Filter<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure: This gets used by GrammaticalStructureFactory (by reflection).
EnglishGrammaticalStructure(Tree, Filter<String>, HeadFinder, boolean) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Construct a new GrammaticalStructure from an existing parse tree.
EnglishGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Used for postprocessing CoNLL X dependencies
EnglishGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees
EnglishGrammaticalStructure.FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure.FromDependenciesFactory
EnglishGrammaticalStructureFactory - Class in edu.stanford.nlp.trees
EnglishGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
EnglishGrammaticalStructureFactory(Filter<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
EnglishGrammaticalStructureFactory(Filter<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
EnglishTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: Parser parameters for the Penn English Treebank (WSJ, Brown, Switchboard).
EnglishTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
EnglishTreebankParserParams.EnglishSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
EnglishTreebankParserParams.EnglishSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
EnglishTreebankParserParams.EnglishTest - Class in edu.stanford.nlp.parser.lexparser
EnglishTreebankParserParams.EnglishTrain - Class in edu.stanford.nlp.parser.lexparser
EnglishUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: This is a basic unknown word model for English.
EnglishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
EnglishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel: This constructor creates an UWM with empty data structures.
EnglishUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
EnglishUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer
ensure(Set<TransducerGraph.Arc>) - Method in class edu.stanford.nlp.fsm.TransducerGraph
ensureDir(File) - Static method in class edu.stanford.nlp.io.IOUtils: Given a filepath, makes sure a directory exists there.
ensureKeys(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: ensures that counter t has all keys in keys.
entropy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Calculates the entropy of the given counter (in bits).
entrySet() - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns a view of the entries in this counter.
entrySet() - Method in interface edu.stanford.nlp.stats.Counter: Returns a view of the entries in this counter.
entrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns the set of entries in the GeneralizedCounter.
entrySet() - Method in class edu.stanford.nlp.stats.IntCounter: Returns a view of the doubles in this map.
entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
entrySet() - Method in class edu.stanford.nlp.util.ArrayMap
entrySet() - Method in class edu.stanford.nlp.util.CollectionValuedMap: Each element of the Set is a Map.Entry object, where getKey() returns the key of the mapping, and getValue() returns the Collection mapped to by the key.
entrySet() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap: This is cheap.
entrySet() - Method in class edu.stanford.nlp.util.DeltaMap: This is cheap.
eol - Variable in exception edu.stanford.nlp.trees.tregex.ParseException: The end of line string for this machine.
eol - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException: The end of line string for this machine.
eolChar - Static variable in class edu.stanford.nlp.io.IOUtils
eolString - Variable in class edu.stanford.nlp.process.TokenizerAdapter
EPSILON_INPUT - Static variable in class edu.stanford.nlp.fsm.TransducerGraph
equalContents(int[][], int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Tests two int[][] arrays for having equal contents.
equalContents(int[], int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: tests two int[] arrays for having equal contents
equals(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
equals(Object) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
equals(Object) - Method in class edu.stanford.nlp.ling.IndexedWord: This .equals is dependent only on docID, sentenceIndex, and index.
equals(Object) - Method in class edu.stanford.nlp.ling.ValueLabel: Equality for ValueLabels is defined in the first instance as equality of their String value().
equals(Object) - Method in class edu.stanford.nlp.ling.WordLemmaTag: Equality is satisfied only if the compared object is a WordLemmaTag and has String-equal word, lemma and tag fields.
equals(Object) - Method in class edu.stanford.nlp.ling.WordTag: A WordTag is equal only to another WordTag with the same word and tag values.
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.Edge
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.Hook: Hooks are equal if they have same state, substate, head, tag, start, and end.
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule: A UnaryRule is equal to another UnaryRule with the same parent and child.
equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
equals(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter: Equality is defined over all Counter implementations.
equals(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Default equality comparison for two counters potentially backed by alternative implementations.
equals(Object) - Method in class edu.stanford.nlp.stats.Distribution
equals(Distribution<E>) - Method in class edu.stanford.nlp.stats.Distribution
equals(Object) - Method in class edu.stanford.nlp.stats.IntCounter
equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
equals(Object) - Method in class edu.stanford.nlp.trees.Constituent: Compare with another Object for equality.
equals(Object) - Method in class edu.stanford.nlp.trees.GrammaticalRelation: Grammatical relations are equal with other grammatical relations if they have the same shortName and specific (if present).
equals(Object) - Method in class edu.stanford.nlp.trees.NamedDependency
equals(Object) - Method in class edu.stanford.nlp.trees.Tree: Implements equality for Tree's.
equals(Object) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Implements equality for TreeGraphNodes.
equals(Object) - Method in class edu.stanford.nlp.trees.TypedDependency
equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
equals(Object) - Method in class edu.stanford.nlp.util.ArrayCoreMap: Two CoreMaps are equal iff all keys and values are .equal.
equals(Object) - Method in class edu.stanford.nlp.util.ArrayMap
equals(double[][], double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Tests two double[][] arrays for having equal contents.
equals(boolean[][], boolean[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Tests two boolean[][] arrays for having equal contents.
equals(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
equals(Object) - Method in class edu.stanford.nlp.util.HashableCoreMap: If the provided object is a HashableCoreMap, equality is based only upon the values of the immutable hashkeys; otherwise, defaults to behavior of the superclass's equals method.
equals(Object) - Method in class edu.stanford.nlp.util.Interval
equals(Object) - Method in class edu.stanford.nlp.util.IntPair
equals(Object) - Method in class edu.stanford.nlp.util.IntTuple
equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
equals(Redwood.Record, Redwood.Record) - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
equals(Object) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
equals(Object) - Method in class edu.stanford.nlp.util.MetaClass
equals(Object) - Method in class edu.stanford.nlp.util.MutableDouble: Compares this object to the specified object.
equals(Object) - Method in class edu.stanford.nlp.util.MutableInteger: Compares this object to the specified object.
equals(Object) - Method in class edu.stanford.nlp.util.Pair
equals(Object) - Method in class edu.stanford.nlp.util.ScoredComparator
equals(Object) - Method in class edu.stanford.nlp.util.Triple
equals(Object) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
equals(Object) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
equalsIgnoreName(Object) - Method in interface edu.stanford.nlp.trees.Dependency: Are two dependencies equal if you ignore the dependency name.
equalsIgnoreName(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
equivalenceClass(IN) - Method in interface edu.stanford.nlp.stats.EquivalenceClasser
EquivalenceClasser<IN,OUT> - Interface in edu.stanford.nlp.stats: A strategy-type interface for specifying a function from Objects to their equivalence classes.
ErasureUtils - Class in edu.stanford.nlp.util: Class to gather unsafe operations into one place.
err() - Static method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood
ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
err(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
escape(String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils: Escapes tokens from flat strings that are reserved for usage in the ATB.
escapeAttributeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils: Returns a String in which some XML special characters have been escaped.
escapeChars - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
escapeElementXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils: Returns a String in which some the XML special characters have been escaped: just the ones that need escaping in an element content.
escapeString(String) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor
escapeString(String, char[], char) - Static method in class edu.stanford.nlp.util.StringUtils
escapeTextAroundXMLTags(String) - Static method in class edu.stanford.nlp.util.XMLUtils
escapeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils: Returns a String in which all the XML special characters have been escaped.
ETC - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "etc" grammatical relation.
Eval - Interface in edu.stanford.nlp.parser.metrics: An interface which can be implemented by anything that evaluates one tree at a time and then prints out a summary when done.
evalb - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Write EvalB-readable output files.
Evalb - Class in edu.stanford.nlp.parser.metrics: A Java re-implementation of the evalb bracket scoring metric (Collins, 1997) that accepts Unicode input.
Evalb(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.Evalb
Evalb.CBEval - Class in edu.stanford.nlp.parser.metrics
Evalb.CBEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.Evalb.CBEval
EvalbByCat - Class in edu.stanford.nlp.parser.metrics: Computes labeled precision and recall (evalb) at the constituent category level.
EvalbByCat(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.EvalbByCat
EvalbByCat(String, boolean, String) - Constructor for class edu.stanford.nlp.parser.metrics.EvalbByCat
EvalbFormatWriter - Class in edu.stanford.nlp.parser.lexparser
EvalbFormatWriter() - Constructor for class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
evalBIgnoredPunctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a filter that accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
evalBIgnoredPunctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a filter that accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
evalBIgnoredPunctuationTagRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a filter that accepts everything except a String that is a punctuation tag that should be ignored by EVALB-style evaluation.
evalBIgnoredPunctuationTagRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a filter that accepts everything except a String that is a punctuation tag that should be ignored by EVALB-style evaluation.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack: Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalGF - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: If true, then evaluation is over grammatical functions as well as the labels If false, then grammatical functions are stripped for evaluation.
evalPCFGkBest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If using a kBest eval, use this many trees.
evals - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: What evaluations to report and how to report them (using LexicalizedParser).
evaluate(double[]) - Method in interface edu.stanford.nlp.optimization.Evaluator
evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
evaluate(Tree, Tree, PrintWriter, double) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
evaluate(Tree, Tree, PrintWriter, double) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
evaluate(List<Tree>, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
evaluate(Tree, Tree) - Method in interface edu.stanford.nlp.parser.metrics.Eval
evaluate(Tree, Tree, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
evaluate(Tree, Tree, PrintWriter, double) - Method in interface edu.stanford.nlp.parser.metrics.Eval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.EvalbByCat
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.TaggingEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
evaluate(Tree, TregexMatcher) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.CoindexNodes
evaluate(Tree, TregexMatcher) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern: Evaluates the pattern against a Tree and a TregexMatcher that has been successfully matched against the tree.
evaluateCoverage(Collection<Tree>, Set<String>, Set<String>, Set<IntTaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Evaluates how many words (= terminals) in a collection of trees are covered by the lexicon.
EvaluateTreebank - Class in edu.stanford.nlp.parser.lexparser
EvaluateTreebank(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
EvaluateTreebank(Options, Lexicon, LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
Evaluator - Interface in edu.stanford.nlp.optimization
EXACT - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
exactBinomial(int, int, double) - Static method in class edu.stanford.nlp.math.SloppyMath: Find a one tailed exact binomial test probability.
ExactGrammarCompactor - Class in edu.stanford.nlp.parser.lexparser
ExactGrammarCompactor(Options, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.ExactGrammarCompactor
examineIntersection(Set<String>, Set<String>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
executeOneTrainingBatch(List<Tree>, IdentityHashMap<Tree, byte[]>, double[]) - Method in class edu.stanford.nlp.parser.dvparser.DVParser
ExhaustiveDependencyParser - Class in edu.stanford.nlp.parser.lexparser: An exhaustive O(n⁴t²) time and O(n²t) space dependency parser.
ExhaustiveDependencyParser(DependencyGrammar, Lexicon, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
ExhaustivePCFGParser - Class in edu.stanford.nlp.parser.lexparser: An exhaustive generalized CKY PCFG parser.
ExhaustivePCFGParser(BinaryGrammar, UnaryGrammar, Lexicon, Options, Index<String>, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
exhaustiveTest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
existsAndNonEmpty(File) - Static method in class edu.stanford.nlp.io.FileSystem: Returns whether a file object both exists and has contents (i.e.
exit(int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Exits with a given status code
exit() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Exits with status code 0, stopping Redwood first
exp(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
exp(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
expand(Interval<E>) - Method in class edu.stanford.nlp.util.Interval: Returns (smallest) interval that contains both this and the other interval
expandDependency(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: The dependency arg is still in the full tag space.
expandDependencyMap - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.ParseException: Each entry in this array is an array of integers.
expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException: Each entry in this array is an array of integers.
expInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
expInPlace(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
EXPLETIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "expletive" grammatical relation.
ExtensionFileFilter - Class in edu.stanford.nlp.io: Implements a file filter that uses file extensions to filter files.
ExtensionFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter: Sets up Extension file filter by specifying an extension to accept (currently only 1) and whether to also display folders for recursive search.
ExtensionFileFilter(String) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter: Sets up an extension file filter that will recurse into sub directories.
extra() - Method in class edu.stanford.nlp.trees.TypedDependency
extract() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
extract(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
extract(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
extract(Iterator<Tree>, Function<Tree, Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
extract(Iterator<Tree>, Function<Tree, Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
extract(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
extract(Iterator<Tree>, Function<Tree, Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
extract(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
extract(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor: First, we do a few setup steps.
extractBestParse(String, int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Return the best parse of some category/state over a certain span.
extractBestParses(int, int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Return all best parses (except no ties allowed on POS tags?).
extractedEdges - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
extractedHooks - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
extractMin() - Method in class edu.stanford.nlp.util.ArrayHeap: Finds the object with the minimum key, removes it from the heap, and returns it.
extractMin() - Method in interface edu.stanford.nlp.util.Heap: Returns the minimum object, then removes that object from the heap.
extractNgram(List<T>, int, int) - Static method in class edu.stanford.nlp.ling.Sentence: Returns the substring of the sentence from start (inclusive) to end (exclusive).
Extractor<T> - Interface in edu.stanford.nlp.parser.lexparser
extractParse(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
extractRelationSubflags(int, int) - Static method in class edu.stanford.nlp.util.Interval
extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Returns a Filter which checks dependencies for usefulness as extra tree-based dependencies.
extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Returns a Filter which checks dependencies for usefulness as extra tree-based dependencies.

F

FactoredLexicon - Class in edu.stanford.nlp.parser.lexparser
FactoredLexicon(MorphoFeatureSpecification, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexicon
FactoredLexicon(Options, MorphoFeatureSpecification, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexicon
FactoredLexiconEvent - Class in edu.stanford.nlp.parser.lexparser
FactoredLexiconEvent(int, int, int, int, int, String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
FactoredParser - Class in edu.stanford.nlp.parser.lexparser
factorial(int) - Static method in class edu.stanford.nlp.math.SloppyMath: Uses floating point so that it can represent the really big numbers that come up.
factory - Variable in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
factory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
factory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
factory - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
factory() - Static method in class edu.stanford.nlp.ling.CategoryWordTag: Return a factory for this kind of label
factory() - Static method in class edu.stanford.nlp.ling.CoreLabel: Return a factory for this kind of label
factory() - Static method in class edu.stanford.nlp.ling.IndexedWord
factory() - Static method in class edu.stanford.nlp.ling.LabeledWord: Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.StringLabel: Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.Tag: Return a factory for this kind of label (i.e., Tag).
factory() - Static method in class edu.stanford.nlp.ling.TaggedWord: Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.Word: Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.WordTag: Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
factory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.process.PTBTokenizer: Get a TokenizerFactory that does Penn Treebank tokenization.
factory - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
factory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
factory(boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
factory(WordSegmenter) - Static method in class edu.stanford.nlp.process.WordSegmentingTokenizer
factory() - Static method in class edu.stanford.nlp.trees.LabeledConstituent: Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredConstituent: Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type, with the Label made with the supplied LabelFactory.
factory() - Static method in class edu.stanford.nlp.trees.NamedDependency
factory() - Static method in class edu.stanford.nlp.trees.SimpleConstituent: Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.SimpleTree: Return a TreeFactory that produces trees of the SimpleTree type.
factory() - Static method in class edu.stanford.nlp.trees.TreeGraphNode: Return a TreeFactory that produces trees of type TreeGraphNode.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.TreeGraphNode: Return a TreeFactory that produces trees of type TreeGraphNode, with the Label made by the supplied LabelFactory.
factory() - Static method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
factory() - Static method in class edu.stanford.nlp.trees.UnnamedDependency
Factory<T> - Interface in edu.stanford.nlp.util: A generified factory class which creates instances of a particular type.
fail(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Create a RuntimeException with arguments
fail() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Create a new RuntimeException with no arguments
FastExactAutomatonMinimizer - Class in edu.stanford.nlp.fsm: Minimization in n log n a la Hopcroft.
FastExactAutomatonMinimizer() - Constructor for class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
fastFactoredCandidateAddend - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: This variable says to find k good factored parses, how many added on best PCFG parses should be examined.
fastFactoredCandidateMultiplier - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: This variable says to find k good fast factored parses, how many times k of the best PCFG parses should be examined.
FastFactoredParser - Class in edu.stanford.nlp.parser.lexparser: Provides a much faster way to realize the factored parsing idea, including easily returning "k good" results at the expense of optimality.
fatal(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
FEATURE_SEP - Static variable in class edu.stanford.nlp.trees.international.negra.NegraLabel
featureStr() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
featureValue(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
Featurizable<F> - Interface in edu.stanford.nlp.ling: Interface for Objects that can be described by their features.
file(String, String...) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Add a file pipeline to the Redwood handler tree.
filename() - Method in interface edu.stanford.nlp.tagger.io.TaggedFileReader
filename() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
filename() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
filename() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
filename() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
fileNameClean(String) - Static method in class edu.stanford.nlp.util.StringUtils: Returns a "clean" version of the given filename in which spaces have been converted to dashes and all non-alphanumeric chars are underscores.
fileNameNormalizer - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
FilePathProcessor - Class in edu.stanford.nlp.util: The FilePathProcessor traverses a directory structure and applies the processFile method to files meeting some criterion.
FileProcessor - Interface in edu.stanford.nlp.util: Interface for a Visitor pattern for Files.
FileSystem - Class in edu.stanford.nlp.io: Provides various filesystem operations common to scripting languages such as Perl and Python but not present (currently) in the Java standard libraries.
fill(double[][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
fill(double[][][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
fill(double[][][][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
fill(boolean[][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
fill(boolean[][][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
fill(boolean[][][][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
fillInParseAnnotations(boolean, boolean, GrammaticalStructureFactory, CoreMap, Tree) - Static method in class edu.stanford.nlp.pipeline.ParserAnnotatorUtils: Thread safety note: nothing special is done to ensure the thread safety of the GrammaticalStructureFactory.
Filter<T> - Interface in edu.stanford.nlp.util: Filter is an interface for predicate objects which respond to the accept method.
filter(E[], Filter<E>) - Static method in class edu.stanford.nlp.util.Filters: Applies the given filter to each of the given elems, and returns the list of elems that were accepted.
filterAsList(Collection<? extends T>, Filter<? super T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Filters the objects in the collection according to the given Filter and returns a list
FilterConfusingRules - Class in edu.stanford.nlp.parser.dvparser: This filter rejects Trees which have unary or binary productions which the given parser does not contain.
FilterConfusingRules(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.FilterConfusingRules
FilteredEval - Class in edu.stanford.nlp.parser.metrics: An AbstractEval which doesn't just evaluate all constituents, but lets you provide a filter to only pay attention to constituents formed from certain subtrees.
FilteredEval(String, boolean, Filter<Tree>) - Constructor for class edu.stanford.nlp.parser.metrics.FilteredEval
FilteredIterator<T> - Class in edu.stanford.nlp.util: Iterator that suppresses items in another iterator based on a filter function.
FilteredIterator(Iterator<T>, Filter<T>) - Constructor for class edu.stanford.nlp.util.FilteredIterator
filterInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
FilteringTreebank - Class in edu.stanford.nlp.trees: This class wraps another Treebank, and will vend trees that passed a Filter.
FilteringTreebank(Treebank, Filter<Tree>) - Constructor for class edu.stanford.nlp.trees.FilteringTreebank
FilteringTreeReader - Class in edu.stanford.nlp.trees: A FilteringTreeReader filters the output of another TreeReader.
FilteringTreeReader(TreeReader, Filter<Tree>) - Constructor for class edu.stanford.nlp.trees.FilteringTreeReader
filterNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
filterNaNAndInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
filterRulesForBatch(Collection<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel: Filters the transform and score rules so that we only have the ones which appear in the trees given
filterRulesForBatch(Map<Tree, byte[]>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
filterRulesForBatch(TwoDimensionalSet<String, String>, Set<String>, Set<String>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
Filters - Class in edu.stanford.nlp.util: Some simple implementations of the Filter interface.
Filters.ConjFilter<T> - Class in edu.stanford.nlp.util: Conjunction of a list of filters.
Filters.ConjFilter(List<Filter<T>>) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
Filters.ConjFilter(Filter<T>...) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
Filters.DisjFilter<T> - Class in edu.stanford.nlp.util: Disjunction of a list of filters.
Filters.DisjFilter(List<Filter<T>>) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
Filters.DisjFilter(Filter<T>...) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
Filters.RandomFilter<E> - Class in edu.stanford.nlp.util: A filter that accepts a random fraction of the input it sees.
Filters.RandomFilter() - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
Filters.RandomFilter(double) - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
Filters.RandomFilter(double, Random) - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
filterStackTrace(StackTraceElement[]) - Static method in class edu.stanford.nlp.util.logging.Redwood: Removes logging classes from a stack trace.
finalize() - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
find() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Find the next match of the pattern on the tree
find(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
find(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Say whether this regular expression can be found inside this String.
findAllRelns(GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Given a semantic graph, and a target relation, returns a list of all relations (edges) matching.
findAt(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Similar to find(), but matches only if node is the root of the match.
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: A way for subclasses for corpora with explicit head markings to return the explicitly marked head
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder: Predicatively marked elements in a sentence should be noted as heads
findMarkedHead(Tree[]) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
findNextMatchingNode() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Find the next match of the pattern on the tree such that the matching node (that is, the tree node matching the root node of the pattern) differs from the previous matching node.
findSpace(String, int) - Static method in class edu.stanford.nlp.util.XMLUtils: return either the first space or the first nbsp
finishThread() - Static method in class edu.stanford.nlp.util.logging.Redwood: Signal that this thread will not log any more messages in the multithreaded environment
finishThread() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModelTrainer
finishTraining() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: Done collecting statistics for the lexicon.
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
finishTraining() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer: Returns the trained UWM.
finishTraining() - Method in interface edu.stanford.nlp.process.WordSegmenter
first - Variable in class edu.stanford.nlp.util.Pair: Direct access is deprecated.
first() - Method in class edu.stanford.nlp.util.Pair
first - Variable in class edu.stanford.nlp.util.Triple
first() - Method in class edu.stanford.nlp.util.Triple
firstChild() - Method in class edu.stanford.nlp.trees.Tree: Returns the first child of a tree, or null if none.
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
firstKeySet() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
firstKeySet() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
firstKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
FixedPrioritiesPriorityQueue<E> - Class in edu.stanford.nlp.util: A priority queue based on a binary heap.
FixedPrioritiesPriorityQueue() - Constructor for class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
FixedPrioritiesPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
fixQuotes - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
flatFile - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
flatFileName - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
flatten() - Method in class edu.stanford.nlp.trees.Tree: Return a flattened version of a tree.
flatten(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree: Return a flattened version of a tree.
flatten(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
flatten(Collection<List<T>>) - Static method in class edu.stanford.nlp.util.CollectionUtils: combines all the lists in a collection to a single list
flattenTree(Tree) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils: Returns the string associated with the input parse tree.
flexiTag - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
flexiTag - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
floatArrayToDoubleArray(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
floatArrayToDoubleArray(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
FloatFunction - Interface in edu.stanford.nlp.optimization: An interface for double-valued functions over double arrays.
floatValue() - Method in class edu.stanford.nlp.util.MutableDouble
floatValue() - Method in class edu.stanford.nlp.util.MutableInteger
floodTags - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
flush() - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
flush() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler: This is a no-op since Redwood doesn't have this.
flush() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
flushSpi() - Method in class edu.stanford.nlp.util.DisabledPreferences
followArcToNode(Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Returns a single TreeGraphNode to which there exists an arc bearing the specified label from this node, or null if no such node exists.
followArcToSet(Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Returns the Set of TreeGraphNodes to which there exist arcs bearing the specified label from this node, or null if no such nodes exist.
FontDetector - Class in edu.stanford.nlp.swing: Detects which Fonts can be used to display unicode characters in a given language.
FORCE - Static variable in class edu.stanford.nlp.util.logging.Redwood
force() - Method in class edu.stanford.nlp.util.logging.Redwood.Record: Returns whether this log message wants to be forced to be printed
FORCE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
force_track(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
forceCNF - Variable in class edu.stanford.nlp.parser.lexparser.Options: Forces parsing with strictly CNF grammar -- unary chains are converted to XP&YP symbols and back
forceTagBeginnings - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
forceTags - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Parse using only tags given from correct answer or the POS tagger
forceTrack(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood: Helper method to start a track on the FORCE channel.
forceTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood: Helper method to start an anonymous track on the FORCE channel.
forceTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
FORMAT - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
format(String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
format(Locale, String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
formatChannel(StringBuilder, String, Object) - Method in class edu.stanford.nlp.util.logging.OutputHandler: Format a channel
formatChannel(StringBuilder, String, Object) - Method in class edu.stanford.nlp.util.logging.RedirectOutputHandler: Ensure that we don't print duplicate channels when adapting to another logging framework.
formatSemanticGraph(SemanticGraph) - Method in class edu.stanford.nlp.semgraph.SemanticGraphFormatter: Returns a pretty-printed string representation of the given semantic graph, on one or more lines.
formatTimeDifference(long, StringBuilder) - Static method in class edu.stanford.nlp.util.logging.Redwood: Utility method for formatting a time difference (maybe this should go to a util class?)
formResult() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
formResult() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
formResult() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
fractionBeforeUnseenCounting - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Start to aggregate signature-tag pairs only for words unseen in the first this fraction of the data.
FragDiscardingPennTreeReader - Class in edu.stanford.nlp.trees.international.pennchinese
FragDiscardingPennTreeReader(Reader, TreeFactory, TreeNormalizer, Tokenizer<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.FragDiscardingPennTreeReader
free() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
freeDependencies - Variable in class edu.stanford.nlp.parser.lexparser.Options: if true, any child can be the head (seems rather bad!)
FrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french: TODO wsg2010: Compare these head finding rules to those found in Arun Abishek's master's thesis.
FrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
FrenchHeadFinder(FrenchTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
FrenchMorphoFeatureSpecification - Class in edu.stanford.nlp.international.french: If MorphoFeatureType.OTHER is active, then the "CC tagset" is produced (see Tbl.2 of (Crabbe and Candito, 2008).
FrenchMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
FrenchTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.french.process: Tokenizer for raw French text.
FrenchTokenizer(Reader, LexedTokenFactory<T>, Properties) - Constructor for class edu.stanford.nlp.international.french.process.FrenchTokenizer
FrenchTokenizer.FrenchTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.french.process
FrenchTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.french: Language pack for the French treebank.
FrenchTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
FrenchTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: TreebankLangParserParams for the Frenck Treebank corpus.
FrenchTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
FrenchTreeNormalizer - Class in edu.stanford.nlp.trees.international.french: Prepares French Treebank trees for parsing.
FrenchTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
FrenchTreeNormalizer.FrenchAOverAFilter - Class in edu.stanford.nlp.trees.international.french
FrenchTreeNormalizer.FrenchAOverAFilter() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer.FrenchAOverAFilter
FrenchTreeReader - Class in edu.stanford.nlp.trees.international.french: A reader for XML format French Treebank files.
FrenchTreeReader(Reader) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeReader: Read parse trees from a Reader.
FrenchTreeReader(Reader, TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeReader: Read parse trees from a Reader.
FrenchTreeReaderFactory - Class in edu.stanford.nlp.trees.international.french: A class for reading French Treebank trees that have been converted from XML to PTB format.
FrenchTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeReaderFactory
FrenchTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeReaderFactory
FrenchUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
FrenchUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
FrenchUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel: This constructor creates an UWM with empty data structures.
FrenchUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
FrenchUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModelTrainer
FrenchUnknownWordSignatures - Class in edu.stanford.nlp.international.french: Contains patterns for matching certain word types in French, such as common suffices for nouns, verbs, adjectives and adverbs.
FrenchUnknownWordSignatures() - Constructor for class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
fromJavaUtilLogging(Logger) - Static method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
fromMap(Map<E, N>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a counter view of the given map.
fromMap(Map<E, N>, Class<N>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a counter view of the given map.
fromString(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter: Converts from the format printed by the toString method back into a Counter<String>.
fromStringReps(List<String>, List<String>, List<String>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Create a grammatical structure from its string representation.
fromTagString(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
fromTagString(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures: Assumes that the tag string has been formed using a call to getTag().
fscorer - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
fSpec - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
FTB_ENCODING - Static variable in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
FTBCorrector - Class in edu.stanford.nlp.international.french.pipeline: Makes FTB trees consistent with FrenchTreebankLanguagePack.
FTBCorrector() - Constructor for class edu.stanford.nlp.international.french.pipeline.FTBCorrector
FTBCorrectorVisitor - Class in edu.stanford.nlp.international.french.pipeline: Wrapper class for using the ATBCorrector class with TreebankPipeline's TVISITOR parameter.
FTBCorrectorVisitor() - Constructor for class edu.stanford.nlp.international.french.pipeline.FTBCorrectorVisitor
FTBDataset - Class in edu.stanford.nlp.international.french.pipeline: Produces the pre-processed version of the FTB used in the experiments of Green et al.
FTBDataset() - Constructor for class edu.stanford.nlp.international.french.pipeline.FTBDataset
ftbFactory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
FULLWIDTH - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
Function - Interface in edu.stanford.nlp.optimization: An interface for double-valued functions over double arrays.
Function<T1,T2> - Interface in edu.stanford.nlp.util: An interface for classes that act as a function transforming one object to another.

G

gamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
gapDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
gapDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
gapDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
gapDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
gapEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
gapEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
GeneralizedCounter<K> - Class in edu.stanford.nlp.stats: A class for keeping double counts of Lists of a prespecified length.
GeneralizedCounter(int) - Constructor for class edu.stanford.nlp.stats.GeneralizedCounter: Constructs a new GeneralizedCounter of a specified depth
generateCCProcessedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces a CCProcessed SemanticGraph with no extras.
generateCCProcessedDependencies(GrammaticalStructure, String, int) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces a CCProcessed SemanticGraph with no extras.
generateCollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces a Collapsed SemanticGraph with no extras.
generateCollapsedDependencies(GrammaticalStructure, String, int) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces a Collapsed SemanticGraph with no extras.
generateUncollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces an Uncollapsed SemanticGraph with no extras.
generateUncollapsedDependencies(GrammaticalStructure, String, int) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces an Uncollapsed SemanticGraph with no extras.
generator - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
genericKeys - Static variable in class edu.stanford.nlp.ling.CoreLabel
Generics - Class in edu.stanford.nlp.util: A collection of utilities to make dealing with Java generics less painful and verbose.
genericValues - Static variable in class edu.stanford.nlp.ling.CoreLabel
genStop - Variable in class edu.stanford.nlp.parser.lexparser.Options
genVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
GermanUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: An unknown word model for German; relies on BaseUnknownWordModel plus number matching.
GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel
GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel: This constructor creates an UWM with empty data structures.
GermanUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
GermanUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModelTrainer
get(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank: Get a tree by index from the Treebank.
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap: Returns the value associated with the given key or null if none is provided.
get(Object) - Method in class edu.stanford.nlp.util.ArrayMap
get(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
get(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
get(int) - Method in class edu.stanford.nlp.util.DeltaIndex
get(Object) - Method in class edu.stanford.nlp.util.DeltaMap: This may cost twice what it would in the original Map.
get(int) - Method in class edu.stanford.nlp.util.HashIndex: Gets the object whose index is the integer argument.
get(int) - Method in interface edu.stanford.nlp.util.Index: Gets the object whose index is the integer argument.
get(int) - Method in class edu.stanford.nlp.util.IntTuple
get(Properties, String, E, Type) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Get the value of a property and automatically cast it to a specific type.
get(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
get(K1, K2) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
get(K1) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
get(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
get(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap: Returns the value associated with the given key or null if none is provided.
getAllEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getAllEdges() - Method in interface edu.stanford.nlp.graph.Graph
getAllEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getAllHighestScoringTreesTest(List<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
getAllNodesByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns all nodes of type IndexedWord in this SemanticGraph having the given word or regex, or returns empty list if no such found.
getAllTranslations(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
getAllVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getAllVertices() - Method in interface edu.stanford.nlp.graph.Graph
getAltTag() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures: An alternate tag form than the one produced by getTag().
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
getAnnotationClass(GrammaticalRelation) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
getArc(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Slow implementation.
getArcBySourceAndInput(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Can only be one because automaton is deterministic.
getArch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getArcs() - Method in class edu.stanford.nlp.fsm.TransducerGraph
getArcsByInput(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Returns a Set of type TransducerGraph.Arc.
getArcsBySource(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Returns a Set of type TransducerGraph.Arc.
getArcsByTarget(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Returns a Set of type TransducerGraph.Arc.
getArcsByTargetAndInput(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Returns a Set of type TransducerGraph.Arc.
getAttr(String) - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
getBaseName(String) - Static method in class edu.stanford.nlp.util.StringUtils: Strip directory from filename.
getBaseName(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Strip directory and suffix from filename.
getBaseTag(int, TreebankLanguagePack) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
getBasicCategoryFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's basicCategory() method.
getBasicCategoryFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's basicCategory method.
getBegin() - Method in class edu.stanford.nlp.util.Interval: Returns the start point
getBest() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
getBestDependencyParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestDependencyParse(boolean) - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestFactoredParse() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getBestFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Return the best parse of the sentence most recently parsed.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: Return the best dependency parse for a sentence.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Return the best parse of the sentence most recently parsed.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery: Return the best parse of the sentence most recently parsed.
getBestParse() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestParse() - Method in interface edu.stanford.nlp.parser.ViterbiParser: Returns a best parse of the last sentence on which parse was called, or null if none exists.
getBestParses() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestPCFGParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestPCFGParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestPCFGParse() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getBestPCFGParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestPCFGParses() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestPCFGParses() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getBestPCFGParses() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestScore() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Gets the score (typically a log probability) of the best parse of a sentence.
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
getBestScore(String) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
getBlock(Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getBool(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load a boolean property.
getBool(Properties, String, boolean) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load a boolean property.
getBufferedFileReader(String) - Static method in class edu.stanford.nlp.io.IOUtils
getBufferedFileReader(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
getBufferedReader(Reader) - Static method in class edu.stanford.nlp.ling.DocumentReader: Wraps the given Reader in a BufferedReader or returns it directly if it is already a BufferedReader.
getBufferedReaderFromClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
getBufferedReaderFromClasspathOrFileSystem(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
getBZip2PipedInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
getBZip2PipedOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
getCategoryAndFunctionFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's categoryAndFunction() method.
getCategoryAndFunctionFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's categoryAndFunction method.
getChars(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap: What are the Characters with this primary radical?
getChild(int) - Method in class edu.stanford.nlp.trees.Tree: Return the child at some daughter index.
getChildList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getChildren(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getChildren(V) - Method in interface edu.stanford.nlp.graph.Graph: for undirected graph, it is just the neighbors
getChildren(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getChildrenAsList() - Method in class edu.stanford.nlp.trees.Tree: Returns a List of children for the current node.
getChildrenWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a list of all children bearing a certain grammatical relation, or an empty list if none.
getChildrenWithRelns(IndexedWord, Collection<GrammaticalRelation>) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a list of all children bearing one of a set of grammatical relations, or an empty list if none.
getChildWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the first IndexedFeatureLabel bearing a certain grammatical relation, or null if none.
getClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getClosedTagThreshold() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getCommonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the least common ancestor.
getConj(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "conj" grammatical relation.
getConjs() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
getConnectedComponents(DirectedMultiGraph<V, E>) - Static method in class edu.stanford.nlp.graph.ConnectedComponents
getConnectedComponents() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getConnectedComponents() - Method in interface edu.stanford.nlp.graph.Graph
getConstraints() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
getConstraints() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
getCopy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
getCopy() - Method in class edu.stanford.nlp.util.IntPair
getCopy() - Method in class edu.stanford.nlp.util.IntQuadruple
getCopy() - Method in class edu.stanford.nlp.util.IntTriple
getCopy() - Method in class edu.stanford.nlp.util.IntTuple
getCopy() - Method in class edu.stanford.nlp.util.IntUni
getCoreKey(String) - Static method in class edu.stanford.nlp.ling.AnnotationLookup: Returns a CoreAnnotation class key for the given old-style FeatureLabel key if one exists; null otherwise.
getCount(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns the count for this key as a double.
getCount(Object) - Method in interface edu.stanford.nlp.stats.Counter: Returns the count for this key as a double.
getCount(E) - Method in class edu.stanford.nlp.stats.Distribution: Returns the current count for the given key, which is 0 if it hasn't been seen before.
getCount(Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o}); works only for depth 1 GeneralizedCounters
getCount(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o1,o2}); works only for depth 2 GeneralizedCounters
getCount(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o1,o2,o3}); works only for depth 3 GeneralizedCounters
getCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter: Returns the current count for the given key, which is 0 if it hasn't been seen before.
getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
getCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
getCountAsString(E) - Method in class edu.stanford.nlp.stats.IntCounter
getCountCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
getCounter() - Method in class edu.stanford.nlp.stats.Distribution
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
getCounter(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
getCounts(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: returns a double[] array of length depth+1, containing the conditional counts on a depth-length list given each level of conditional distribution from 0 to depth.
getCurrentFilename() - Method in class edu.stanford.nlp.trees.DiskTreebank: Returns the absolute path of the file currently being read.
getCurrentPaths() - Method in class edu.stanford.nlp.trees.DiskTreebank
getCurWordMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getDataInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
getDataOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
getDebug() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getDebugPrefix() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getDeepTrees() - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker.Query
getDefaultScore() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig: Returns a default score to be used for each tag that is incompatible with the current word (e.g., the tag CC for the word "apple").
getDefaultTagSeparator() - Static method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getDependencyParser() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getDependencyParser() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getDependencyParser() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getDependencyPath(int, int) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Returns the dependency path as a list of String, from node to root, it is assumed that that root is an ancestor of node
getDependent() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
getDependentIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
getDependents(TreeGraphNode) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Tries to return a Set of leaf (terminal) nodes which are the DEPENDENTs of the given node t.
getDerivative() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
getDescription() - Method in class edu.stanford.nlp.io.ExtensionFileFilter: Returns a description of what extension is being used (for file choosers).
getDistribution(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution: Creates a Distribution from the given counter.
getDistributionFromLogValues(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution: Creates a Distribution from the given counter, ie makes an internal copy of the counter and divides all counts by the total count.
getDistributionFromPartiallySpecifiedCounter(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution: Assuming that c has a total count < 1, returns a new Distribution using the counts in c as probabilities.
getDistributionWithReservedMass(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
getDouble(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load a double property.
getDouble(Properties, String, double) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load a double property.
getDoubleArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Loads a comma-separated list of doubles from Properties.
getEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getEdge(IndexedWord, IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Given a governor, dependent, and the relation between them, returns the SemanticGraphEdge object of that arc if it exists, otherwise returns null.
getEdge() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
getEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getEdges(V, V) - Method in interface edu.stanford.nlp.graph.Graph
getEdgeSet() - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Return a set of all the edges in the graph.
getEdgesOverSpan(int, int) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
getEncoding(Properties) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
getEncoding() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getEncoding() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
getEncoding() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack: Return the input Charset encoding for the Treebank.
getEncoding() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Return the charset encoding of the Treebank.
getEnd() - Method in class edu.stanford.nlp.util.Interval: Returns the end point
getEndNodes() - Method in class edu.stanford.nlp.fsm.TransducerGraph
getEndWordVector() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
getEnglishSplitCategories(String) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats: This is hardwired to calculate the split categories from English Penn Treebank sections 2-21 with a default cutoff of 300 (as used in ACL03PCFG).
getEvalbF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getEvalbF1Percent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getEvals() - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker
getEvals() - Method in interface edu.stanford.nlp.parser.lexparser.Reranker
getExact() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getExactPercent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getExtension(String) - Static method in class edu.stanford.nlp.io.IOUtils
getExtraEvals() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Get extra dependencies that do not depend on the tree structure, but rather only depend on the existing dependency structure.
getFactoredParser() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getFactoredParser() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getFactoredParser() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getFactory() - Static method in class edu.stanford.nlp.objectbank.LineIterator: Returns a factory that vends LineIterators that read the contents of the given Reader, splitting on newlines.
getFactory(Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.LineIterator: Returns a factory that vends LineIterators that read the contents of the given Reader, splitting on newlines.
getFactory(String) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator: Returns a factory that vends BeginEndIterators that reads the contents of the given Reader, extracts text between the specified Strings, then returns the result.
getFactory(String, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
getFactory(String, Function<String, E>) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
getFactory(String, Function<String, E>, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
getFactory() - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns a factory that can create new instances of this kind of Counter.
getFactory() - Method in interface edu.stanford.nlp.stats.Counter: Returns a factory that can create new instances of this kind of Counter.
getFactory() - Method in class edu.stanford.nlp.stats.IntCounter
getFile() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getFileInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils: Get a input file stream (automatically gunzip/bunzip2 depending on file extension)
getFilenames() - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
getFilenames() - Method in interface edu.stanford.nlp.trees.treebank.Dataset: Returns the filenames written by Dataset.build().
getFileOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils: Get a output file stream (automatically gzip/bzip2 depending on file extension)
getFiles(File) - Method in class edu.stanford.nlp.ui.JarFileChooser
getFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Finds the object with the highest priority and returns it, without modifying the queue.
getFirst() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Returns the highest-priority element without removing it from the queue.
getFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue: Finds the object with the highest priority and returns it, without modifying the queue.
getFirstKey() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
getFirstRoot() - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the (first) root of this SemanticGraph.
getFirstTranslation(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
getGfCharacter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
getGlobal() - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner: For getting the instance that global methods use.
getGlobal() - Static method in class edu.stanford.nlp.util.Interner: For getting the instance that global methods use.
getGovernor() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
getGovernor(TreeGraphNode) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Tries to return a leaf (terminal) node which is the GOVERNOR of the given node t.
getGovernorIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
getGrammaticalRelation(int, int) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Get GrammaticalRelation between gov and dep, and null if gov is not the governor of dep
getGrammaticalRelation(TreeGraphNode, TreeGraphNode) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Get GrammaticalRelation between gov and dep, and null if gov is not the governor of dep
getGrammaticalStructure(Tree, Filter<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
getGrammaticalStructure(Tree, Filter<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
getGrammaticalStructure(Tree, Filter<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
getGrammaticalStructure(Tree, Filter<String>, HeadFinder) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Build a GrammaticalStructure from a Tree.
getGraphFromMap(Map<String, TransducerGraph>, String) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
getHighestScoringTree(Tree, double) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
getIncomingEdges(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getIncomingEdges(V) - Method in interface edu.stanford.nlp.graph.Graph: for undirected graph, it is just the edges from the node
getIncomingEdgesSorted(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getInDegree(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getInDegree(V) - Method in interface edu.stanford.nlp.graph.Graph: for undirected graph, it should just be the degree
getIndex(List<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns the index of the first occurrence in the list of the specified object, using object identity (==) not equality as the criterion for object presence.
getIndex(List<T>, T, int) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns the index of the first occurrence after the startIndex (exclusive) in the list of the specified object, using object equals function.
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
getInput() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
getInputEncoding() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Returns the input encoding being used.
getInputEncoding() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Returns the input encoding being used.
getInputs() - Method in class edu.stanford.nlp.fsm.TransducerGraph
getInputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
getInputStreamFromURLOrClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils: Locates this file either using the given URL, or in the CLASSPATH, or in the file system The CLASSPATH takes priority over the file system! This stream is buffered and gunzipped (if necessary).
getInsertNPinPP() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
getInstance() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: A method for getting a singleton instance of this class.
getInt(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load an integer property.
getInt(Properties, String, int) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load an integer property.
getIntArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Loads a comma-separated list of integers from Properties.
getIntCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter: Returns the current count for the given key, which is 0 if it hasn't been seen before.
getInterval() - Method in interface edu.stanford.nlp.util.HasInterval: Returns the interval
getInterval() - Method in class edu.stanford.nlp.util.Interval: Returns this interval
getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
getIntTuple(List<Integer>) - Static method in class edu.stanford.nlp.util.IntTuple
getInverseArcs(Object, Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getInverseArcs(Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getInverseImages(FastExactAutomatonMinimizer.Split) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getIterations() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getIterator(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
getIterator(Reader) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
getIterator(Reader) - Method in interface edu.stanford.nlp.objectbank.IteratorFromReaderFactory: Return an iterator over the contents read from r.
getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
getIterator(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory: Returns a tokenizer wrapping the given Reader.
getIterator(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
getIterator(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory: Same as getTokenizer().
getJarModel() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getJNLPLocalScratch() - Static method in class edu.stanford.nlp.io.IOUtils: A JavaNLP specific convenience routine for obtaining the current scratch directory for the machine you're currently running on.
getKBestParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Get the exact k best parses for the sentence.
getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery: Returns the trees (and scores) corresponding to the k-best derivations of the sentence.
getKBestPCFGParses(int) - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getKeepOriginalText() - Method in class edu.stanford.nlp.ling.DocumentReader: Returns whether created documents will store their source text along with tokenized words.
getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getKGoodFactoredParses(int) - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getKGoodParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Get k good parses for the sentence.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Return the list of k "good" parses of the sentence most recently parsed.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: Get k good parses for the sentence.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Get k good parses for the sentence.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Return the list of N "good" parses of the sentence most recently parsed.
getKSampledParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Get k parse samples for the sentence.
getLabeledToDescriptiveCoreLabelTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions: Returns a function which takes a tree with any label class where the labels might have an interesting description, such as a CategoryWordTag which goes "cat [T/W]", and returns a new tree with CoreLabels which contain the toString() of each of the input labels.
getLabeledTreeToCategoryWordTagTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions: Return a Function that maps from StringLabel labeled trees to LabeledScoredTrees with a CategoryWordTag label.
getLabeledTreeToStringLabeledTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions: Return an Function that maps from Label-labeled trees (any implementing class) to LabeledScored trees with a StringLabel label.
getLang() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getLanguageParams(String) - Static method in class edu.stanford.nlp.international.Languages
getLanguageParams(Languages.Language) - Static method in class edu.stanford.nlp.international.Languages
getLastF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval: Return the evalb F1% from the last call to AbstractEval.evaluate(edu.stanford.nlp.trees.Tree, edu.stanford.nlp.trees.Tree).
getLatticeWords() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
getLBScore() - Method in class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
getLeaf(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees: Gets the ith leaf of a tree from the left.
getLeafVertices() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getLearnClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getLeaves() - Method in class edu.stanford.nlp.trees.Tree: Gets the leaves of the tree.
getLeaves(List<T>) - Method in class edu.stanford.nlp.trees.Tree: Gets the leaves of the tree.
getLexicon() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: Get the lexicon associated with this unknown word model; usually not used, but might be useful to tell you if a related word is known or unknown, for example.
getLexicon() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getLexicon() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel: Returns the lexicon used by this unknown word model; lexicon is used to check information about words being seen/unseen
getLineIterator(String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(String, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(String, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(Reader) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(Reader, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(File) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(File, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(File, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(File, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(Collection<?>, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(Collection<?>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(Collection<?>, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getListComparator() - Static method in class edu.stanford.nlp.util.CollectionUtils
getListGrammaticalRelation(TreeGraphNode, TreeGraphNode) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Get a list of GrammaticalRelation between gov and dep.
getLoc() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
getLong(Properties, String, long) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load an integer property as a long.
getLongName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
getLowestCommonAncestor(List<Tree>, Tree) - Static method in class edu.stanford.nlp.trees.Trees: Get lowest common ancestor of all the nodes in the list with the tree rooted at root
getLowestCommonAncestor(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees: returns the node of a tree which represents the lowest common ancestor of nodes t1 and t2 dominated by root.
getMangledTree() - Method in class edu.stanford.nlp.trees.CollocationFinder: Returns the "collocations included" parse tree.
getMap(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
getMap(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
getMapFactory() - Method in class edu.stanford.nlp.stats.IntCounter
getMapFromString(String, Class<K>, Class<V>, MapFactory<K, V>) - Static method in class edu.stanford.nlp.util.CollectionUtils
getMargin(Tree, Tree) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
getMarkLineBreaks() - Method in class edu.stanford.nlp.process.StripTagsProcessor: Returns whether the output of the processor will contain newline words ("\n") at the end of block-level tags.
getMatch() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Get the last matching tree -- that is, the tree node that matches the root node of the pattern.
getMembers() - Method in interface edu.stanford.nlp.fsm.Block
getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
getMidPoint(Interval<Integer>) - Static method in class edu.stanford.nlp.util.Interval
getMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getMode() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getModel() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getModelFromLexicalizedParser(LexicalizedParser) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
getName() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory: Returns the full class name for the objects being produced
getNeighbors(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: Gets both parents and children nodes
getNeighbors(V) - Method in interface edu.stanford.nlp.graph.Graph
getNewlineToken() - Static method in class edu.stanford.nlp.process.PTBTokenizer: Returns the string literal inserted for newlines when the -tokenizeNLs options is set.
getNext() - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
getNext() - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.LexerTokenizer: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.PTBTokenizer: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.TokenizerAdapter: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.WhitespaceTokenizer: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.WordSegmentingTokenizer
getNext() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer: Internally fetches the next token.
getNGrams(List<T>, int, int) - Static method in class edu.stanford.nlp.util.CollectionUtils: Get all sub-lists of the given list of the given sizes.
getNgrams(List<String>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils: n grams for already splitted string.
getNgramsFromTokens(List<CoreLabel>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils: n grams for already splitted string.
getNgramsString(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils: The string is split on whitespace and the ngrams are joined with a single space
getNode(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Returns the node labeled with name in the pattern.
getNodeByIndex(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the first IndexedWord in this SemanticGraph having the given integer index, or throws IllegalArgumentException if no such node is found.
getNodeByIndex(int) - Method in class edu.stanford.nlp.trees.TreeGraph: Return the node in the this treegraph corresponding to the specified integer index.
getNodeByIndexSafe(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Same as above, but returns null if the index does not exist (instead of throwing an exception).
getNodeByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the first IndexedWord in this SemanticGraph having the given word or regex, or return null if no such found.
getNodeInRelation(TreeGraphNode, GrammaticalRelation) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
getNodeNames() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
getNodeNumber(int) - Method in class edu.stanford.nlp.trees.Tree: Fetches the ith node in the tree, with node numbers defined as in Tree.nodeNumber(Tree).
getNodes() - Method in class edu.stanford.nlp.fsm.TransducerGraph: Just does union of keysets of maps.
getNodes() - Method in class edu.stanford.nlp.trees.TreeGraph
getNormalizedCount(E) - Method in class edu.stanford.nlp.stats.IntCounter: This has been de-deprecated in order to reduce compilation warnings, but really you should create a Distribution instead of using this method.
getNotNullString(String) - Static method in class edu.stanford.nlp.util.StringUtils
getNThreads() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getNum() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getNumberOfKeys() - Method in class edu.stanford.nlp.stats.Distribution
getNumEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getNumEdges() - Method in interface edu.stanford.nlp.graph.Graph
getNumEdges() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
getNumNodes() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
getNumStates() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
getNumVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getNumVertices() - Method in interface edu.stanford.nlp.graph.Graph
getObject(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Searches for the object in the queue and returns it.
getOp() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
getOp() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getOpenClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getOperationFromReader(BufferedReader, TregexPatternCompiler) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Parses a tsurgeon script text input and compiles a tregex pattern and a list of tsurgeon operations into a pair.
getOperationsFromFile(String, String, TregexPatternCompiler) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Parses a tsurgeon script file and compiles all operations in the file into a list of pairs of tregex and tsurgeon patterns.
getOutDegree(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getOutDegree(V) - Method in interface edu.stanford.nlp.graph.Graph
getOutEdgesSorted(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
getOutgoingEdges(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getOutgoingEdges(V) - Method in interface edu.stanford.nlp.graph.Graph: for undirected graph, it is just the edges from the node
getOutput() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
getOutputEncoding() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Returns the output encoding being used.
getOutputEncoding() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Returns the output encoding being used.
getOutputFile() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getOutputFormat() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getOutputLemmas() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getOutputOfPathInGraph(List) - Method in class edu.stanford.nlp.fsm.TransducerGraph: For testing only.
getOutputOptions() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getOutputOptionsContains(String) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getOutputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
getOutputVerbosity() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getPage() - Method in class edu.stanford.nlp.io.ui.OpenPageDialog
getParent(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Return the real syntactic parent of vertex.
getParent() - Method in class edu.stanford.nlp.trees.GrammaticalRelation: Returns the parent of this GrammaticalRelation.
getParentList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getParents(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getParents(V) - Method in interface edu.stanford.nlp.graph.Graph: for undirected graph, it is just the neighbors
getParents(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getParentsWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a list of all parents bearing a certain grammatical relation, or an empty list if none.
getParse(String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient: Returns the String output of the parse of the given query.
getParserFromFile(String, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getParserFromSerializedFile(String) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getParserFromTextFile(String, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getParserFromTreebank(Treebank, Treebank, double, GrammarCompactor, Options, Treebank, List<List<TaggedWord>>) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: A method for training from two different treebanks, the second of which is presumed to be orders of magnitude larger.
getPathOutputs(List<List>) - Method in class edu.stanford.nlp.fsm.TransducerGraph: For testing only.
getPathToRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Find the path from the given node to a root.
getPCFGParser() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getPCFGParser() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getPCFGParser() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getPCFGScore() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getPCFGScore() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
getPCFGScore() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getPerturbedDistribution(Counter<E>, Random) - Static method in class edu.stanford.nlp.stats.Distribution
getPerturbedUniformDistribution(Collection<E>, Random) - Static method in class edu.stanford.nlp.stats.Distribution
getPOSDistribution() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
getPrefixesAndSuffixes(List<T>, int, int, T, boolean, boolean) - Static method in class edu.stanford.nlp.util.CollectionUtils: Get all prefix/suffix combinations from a list.
getPrep(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "prep" grammatical relation.
getPrepC(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "prepc" grammatical relation.
getPreps() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
getPrepsC() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
getPreTerminal(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees: gets the nth preterminal in tree.
getPrintWriter(File) - Static method in class edu.stanford.nlp.io.IOUtils
getPrintWriter(String) - Static method in class edu.stanford.nlp.io.IOUtils
getPrintWriter(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
getPrintWriterIgnoringExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
getPrintWriterOrDie(String) - Static method in class edu.stanford.nlp.io.IOUtils
getPriority() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Gets the priority of the highest-priority element of the queue.
getPriority(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Get the priority of a key -- if the key is not in the queue, Double.NEGATIVE_INFINITY is returned.
getPriority(Object) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Note that this method will be linear (not constant) time in this implementation! Better not to use it.
getPriority() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Gets the priority of the highest-priority element of the queue.
getPriority() - Method in interface edu.stanford.nlp.util.PriorityQueue: Gets the priority of the highest-priority element of the queue (without modifying the queue).
getPriority(E) - Method in interface edu.stanford.nlp.util.PriorityQueue: Get the priority of a key.
getProbabilities() - Method in class edu.stanford.nlp.stats.SimpleGoodTuring: Returns the probabilities allocated to each type, according to their count in the underlying collection.
getProbabilityForUnseen() - Method in class edu.stanford.nlp.stats.SimpleGoodTuring: Returns the probability allocated to types not seen in the underlying collection.
getPunctClass(String) - Static method in class edu.stanford.nlp.parser.tools.PunctEquivalenceClasser: Return the equivalence class of the argument.
getRadical(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap: What is the primary radical of this char?
getRadius(Interval<Integer>) - Static method in class edu.stanford.nlp.util.Interval
getRareWordMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getRareWordThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getReader() - Method in class edu.stanford.nlp.ling.DocumentReader: Returns the reader for the text input source of this DocumentReader.
getReader(String) - Static method in class edu.stanford.nlp.ling.DocumentReader: Returns a Reader that reads in the given text.
getReader(File) - Static method in class edu.stanford.nlp.ling.DocumentReader: Returns a Reader that reads in the given file.
getReader(URL) - Static method in class edu.stanford.nlp.ling.DocumentReader: Returns a Reader that reads in the given URL.
getReader(InputStream) - Static method in class edu.stanford.nlp.ling.DocumentReader: Returns a Reader that reads in the given InputStream.
getRegL1() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getRegularizerParamRange(double[]) - Method in interface edu.stanford.nlp.optimization.HasRegularizerParamRange
getRelatedNodes(Tree, Tree) - Method in class edu.stanford.nlp.trees.GrammaticalRelation: Given a Tree node t, attempts to return a list of nodes to which node t has this grammatical relation, with t as the governor.
getRelation() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
getRelation(Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
getRelation(Interval<E>) - Method in class edu.stanford.nlp.util.Interval: Returns the relationship of this interval to the other interval The most specific relationship from the following is returned.
getRelationFlags(Interval<E>) - Method in class edu.stanford.nlp.util.Interval: Return set of flags indicating possible relationships between this interval and another interval.
getReservedMass() - Method in class edu.stanford.nlp.stats.Distribution
getReverseMap() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Returns a reversed map of the current map.
getRho(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
getRoots() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getRoots(Collection<TypedDependency>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Return a list of TypedDependencies which are not dependent on any node from the list.
getRule(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
getS(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
getScore() - Method in class edu.stanford.nlp.trees.DeepTree
getScoreWForNode(Tree) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
getSearch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getSecondKey() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
getSegmenterDataFromFile(String, Options) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
getSegmenterDataFromSerializedFile(String) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
getSentAveF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getSentenceDelimiter() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig: This returns the sentence delimiter used when tokenizing text using the tokenizer requested in this config.
getSGML() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getShortClassName(Object) - Static method in class edu.stanford.nlp.util.StringUtils: Returns a short class name for an object.
getShortestDirectedPathEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getShortestDirectedPathNodes(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the shortest directed path between two edges in the graph.
getShortestPath(DirectedMultiGraph<V, E>, V, V, boolean) - Static method in class edu.stanford.nlp.graph.DijkstraShortestPath
getShortestPath(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: direction insensitive (the paths can go "up" or through the parents)
getShortestPath(V, V, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: can specify the direction sensitivity
getShortestPathEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getShortestPathEdges(V, V, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getShortestUndirectedPathEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getShortestUndirectedPathNodes(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the nodes in the shortest undirected path between two edges in the graph.
getShortName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
getSiblings(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Method for getting the siblings of a particular node.
getSigmaSquared() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel: 6-9 were added for Arabic.
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: Signature for a specific word; loc parameter is ignored.
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel: This routine returns a String that is the "signature" of the class of a word.
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel: TODO Can add various signatures, setting the signature via Options.
getSignature(String, int) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel: This routine returns a String that is the "signature" of the class of a word.
getSignatureIndex(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel: Returns the index of the signature of the word numbered wordIndex, where the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
getSignatureIndex(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel: Returns the index of the signature of the word numbered wordIndex, where the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel: Returns the index of the signature of the word numbered wordIndex, where the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
getSortedEntries(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
getSource() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
getSource() - Method in class edu.stanford.nlp.util.IntPair: Return the first element of the pair
getSource() - Method in class edu.stanford.nlp.util.IntQuadruple
getSource() - Method in class edu.stanford.nlp.util.IntTriple
getSource() - Method in class edu.stanford.nlp.util.IntUni
getSourceNode() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
getSourceTotal(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
getSpan() - Method in class edu.stanford.nlp.trees.Tree: Returns SpanAnnotation of this node, or null if annotation is not assigned.
getSpecific() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
getSpi(String) - Method in class edu.stanford.nlp.util.DisabledPreferences
getSplit() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getSplitCategories(Treebank, double, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats: Call this method to get a String array of categories to split on.
getSplitCategories(Treebank, boolean, int, double, double, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats: Call this method to get a String array of categories to split on.
getStartNode() - Method in class edu.stanford.nlp.fsm.TransducerGraph
getStartWordVector() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
getStateSplitCount(Tree) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
getStateSplitCount(String) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
getStatus() - Method in class edu.stanford.nlp.io.ui.OpenPageDialog
getStopProb(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Return the probability (as a real number between 0 and 1) of stopping rather than generating another argument at this position.
getString(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel: Return a non-null String value for a key.
getStringArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Loads a comma-separated list of strings from Properties.
getSubject(TreeGraphNode) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Tries to return a node representing the SUBJECT (whether nominal or clausal) of the given node t.
getSubListIndex(Object[], Object[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: If l1 is a part of l2, it finds the starting index of l1 in l2 If l1 is not a sub-array of l2, then it returns -1 note that l2 should have the exact elements and order as in l1
getSymbols() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getTag(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
getTag(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures: Build a POS tag consisting of a base category plus inflectional features.
getTagInside() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig: Return a regex of XML elements to tag inside of.
getTagScore() - Method in class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
getTagSeparator(Properties) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
getTagSeparator() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTarget() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
getTarget() - Method in class edu.stanford.nlp.util.IntPair: Return the second element of the pair
getTarget() - Method in class edu.stanford.nlp.util.IntQuadruple
getTarget() - Method in class edu.stanford.nlp.util.IntTriple
getTarget2() - Method in class edu.stanford.nlp.util.IntQuadruple
getTargetNode() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
getTerminal(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees: gets the nth terminal in tree.
getText(Label) - Method in class edu.stanford.nlp.trees.UnnamedDependency
getTLPParams() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getTokenize() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTokenizer(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
getTokenizer(Reader) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
getTokenizer(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory: Returns a tokenizer wrapping the given Reader.
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
getTokenizer(Reader) - Method in interface edu.stanford.nlp.process.TokenizerFactory
getTokenizer(Reader, String) - Method in interface edu.stanford.nlp.process.TokenizerFactory
getTokenizer(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
getTokenizer(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory: Gets a tokenizer from a reader.
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
getTokenizerFactory() - Method in class edu.stanford.nlp.ling.DocumentReader: Returns the tokenizer used to chop up text into words for the documents.
getTokenizerFactory() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack: Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair.
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Returns a factory for PTBTokenizer.
getTokenizerFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Return a tokenizer factory which might be suitable for tokenizing text that will be used with this Treebank/Language pair.
getTokenizerInvertible() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTokenizerOptions() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTopCategoryOfSyntheticState(String) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
getTopParsesForOneTree(LexicalizedParser, int, Tree, TreeTransformer) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
getTree(String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient: Returs a Tree from the server connected to at host:port.
getTree() - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
getTree() - Method in class edu.stanford.nlp.trees.DeepTree
getTreebankDescription(String[], int, String) - Static method in class edu.stanford.nlp.parser.lexparser.ArgUtils
getTreeDimension(Tree, Font) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
getTreePrint() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Return a TreePrint for formatting parsed output trees.
getTreePrint() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery: Return a TreePrint for formatting parsed output trees.
getTrees(String, int, int, int, int) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
getTregexPatternFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Assumes that we are at the beginning of a tsurgeon script file and gets the string for the tregex pattern leading the file
getTsurgeonOperationsFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Assumes the given reader has only tsurgeon operations (not a tregex pattern), and parses these out, collecting them into one operation.
getTsurgeonTextFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Assumes the given reader has only tsurgeon operations (not a tregex pattern), and returns them as a String, mirroring the way the strings appear in the file.
getTwoDimensionalMap(K1) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
getType() - Method in interface edu.stanford.nlp.ling.CoreAnnotation: Returns the type associated with this annotation.
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CopyAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HaveAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HeadWordStringAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HeightAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelWeightAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LeftChildrenNodeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LineNumberAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeObjectAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeTypeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeValueAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericObjectAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericTypeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericValueAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumerizedTokensAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumTxtSentencesAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalAnswerAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalCharAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParagraphAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParagraphsAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParaPositionAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsTagAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PredictedAnswerAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PrevChildAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ProjectedCategoryAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticTagAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticWordAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceIDAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentencePositionAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpeakerAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SubcategorizationAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokenBeginAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokenEndAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TopicAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseTextAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueTagAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UBlockAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UnaryAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UnknownAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UtteranceAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UTypeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WebAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordnetSynAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordPositionAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.XmlContextAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.XmlElementAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.YearAnnotation
getType() - Method in class edu.stanford.nlp.parser.lexparser.ParserAnnotations.CandidatePartOfSpeechAnnotation
getType() - Method in class edu.stanford.nlp.parser.lexparser.ParserAnnotations.ConstraintAnnotation
getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.BasicDependenciesAnnotation
getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
getType() - Method in class edu.stanford.nlp.trees.GrammaticalRelation.GrammaticalRelationAnnotation
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagAnnotation
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordAnnotation
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation
getTypedDependencyChains(List<TypedDependency>, int) - Static method in class edu.stanford.nlp.trees.Dependencies
getUniformDistribution(Collection<E>) - Static method in class edu.stanford.nlp.stats.Distribution
getUnknownLevel() - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
getUnknownLevel() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
getUnknownLevel() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel: Get the level of equivalence classing for the model.
getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
getUnknownWordModel() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
getUnknownWordVector() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
getUnminimizedFA() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getValidatingXmlParser(File) - Static method in class edu.stanford.nlp.util.XMLUtils: Returns a validating XML parser given an XSD (not DTD!).
getValue(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
getValue() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
getValueType(Class<? extends CoreAnnotation>) - Static method in class edu.stanford.nlp.ling.AnnotationLookup: Returns the runtime value type associated with the given key.
getVariableString(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: If there is a current match, and that match involves setting this particular variable string, this returns that string.
getVectors() - Method in class edu.stanford.nlp.trees.DeepTree
getVerbose() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getVerboseResults() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getVerticesFromEdgeSet(Iterable<SemanticGraphEdge>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Given an iterable set of edges, returns the set of vertices covered by these edges.
getVeryCommonWordThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getVocabWord(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
getWeight() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
getWForNode(Tree) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
getWordFunction() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getWordsOverSpan(int, int) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
getWordVector(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
getXMLInput() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getXmlParser() - Static method in class edu.stanford.nlp.util.XMLUtils: Returns a non-validating XML parser.
getY(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
getYYEOF() - Method in interface edu.stanford.nlp.io.Lexer: returns value for YYEOF
gfCharacter - Variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Default character for indicating that something is a grammatical fn; probably should be overridden by lang specific ones
globalIntern(T) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner: Returns a unique object o' that .equals the argument o.
globalIntern(T) - Static method in class edu.stanford.nlp.util.Interner: Returns a unique object o' that .equals the argument o.
globalMutex - Static variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
goal - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
goalStr - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
GOES_WITH - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "goes with" grammatical relation.
goldDeps - Variable in class edu.stanford.nlp.trees.DependencyScoring
goldDepsUnlabeled - Variable in class edu.stanford.nlp.trees.DependencyScoring
goodTuringSmoothedCounter(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution: Creates a Good-Turing smoothed Distribution from the given counter.
goodTuringWithExplicitUnknown(Counter<E>, E) - Static method in class edu.stanford.nlp.stats.Distribution: Creates a Good-Turing smoothed Distribution from the given counter without creating any reserved mass-- instead, the special object UNK in the counter is assumed to be the count of "UNSEEN" items.
gov() - Method in class edu.stanford.nlp.trees.TypedDependency
governor() - Method in interface edu.stanford.nlp.trees.Dependency: Describes the governor (regent/head) of the dependency relation.
GOVERNOR - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation: The "governor" grammatical relation, which is the inverse of "dependent".
governor() - Method in class edu.stanford.nlp.trees.UnnamedDependency
govToDepMap(List<TypedDependency>) - Static method in class edu.stanford.nlp.trees.Dependencies
gPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: This variable controls doing 2 levels of parent annotation.
gpaAD - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Grandparent annotate all AD.
gpaRootVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Grand-parent annotate (root mark) VP below ROOT.
gradientCheck() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
gradientCheck(int, int, double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
GrammarCompactor - Class in edu.stanford.nlp.parser.lexparser
GrammarCompactor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.GrammarCompactor
GrammarProjection - Interface in edu.stanford.nlp.parser.lexparser: Maps between the states of a more split and less split grammar.
GrammaticalFunctionTreeNormalizer - Class in edu.stanford.nlp.trees: Tree normalizer for cleaning up labels and preserving the whole node label, the grammatical function and category information from the label, or only the category information.
GrammaticalFunctionTreeNormalizer(TreebankLanguagePack, int) - Constructor for class edu.stanford.nlp.trees.GrammaticalFunctionTreeNormalizer
GrammaticalRelation - Class in edu.stanford.nlp.trees: GrammaticalRelation is used to define a standardized, hierarchical set of grammatical relations, together with patterns for identifying them in parse trees.
GrammaticalRelation(GrammaticalRelation.Language, String, String, Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>, GrammaticalRelation, String, TregexPatternCompiler, String[]) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
GrammaticalRelation(GrammaticalRelation.Language, String, String, Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>, GrammaticalRelation) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
GrammaticalRelation(GrammaticalRelation.Language, String, String, Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>, GrammaticalRelation, String) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
GrammaticalRelation.DependentGRAnnotation - Class in edu.stanford.nlp.trees
GrammaticalRelation.DependentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.DependentGRAnnotation
GrammaticalRelation.GovernorGRAnnotation - Class in edu.stanford.nlp.trees
GrammaticalRelation.GovernorGRAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.GovernorGRAnnotation
GrammaticalRelation.GrammaticalRelationAnnotation - Class in edu.stanford.nlp.trees
GrammaticalRelation.GrammaticalRelationAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.GrammaticalRelationAnnotation
GrammaticalRelation.KillGRAnnotation - Class in edu.stanford.nlp.trees
GrammaticalRelation.KillGRAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.KillGRAnnotation
GrammaticalRelation.Language - Enum in edu.stanford.nlp.trees
GrammaticalRelation.RootGRAnnotation - Class in edu.stanford.nlp.trees
GrammaticalRelation.RootGRAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.RootGRAnnotation
GrammaticalStructure - Class in edu.stanford.nlp.trees: A GrammaticalStructure is a TreeGraph (that is, a tree with additional labeled arcs between nodes) for representing the grammatical relations in a parse tree.
GrammaticalStructure(Tree, Collection<GrammaticalRelation>, Lock, HeadFinder, Filter<String>) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure: Create a new GrammaticalStructure, analyzing the parse tree and populate the GrammaticalStructure with as many labeled grammatical relation arcs as possible.
GrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure
GrammaticalStructure(Tree, Collection<GrammaticalRelation>, HeadFinder, Filter<String>) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Filter<String>) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Filter<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFactory - Interface in edu.stanford.nlp.trees: A general factory for GrammaticalStructure objects.
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
grammaticalStructureFactory(Filter<String>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
grammaticalStructureFactory(Filter<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Filter<String>) - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Filter<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
grammaticalStructureFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Filter<String>) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Filter<String>, HeadFinder) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFromDependenciesFactory - Interface in edu.stanford.nlp.trees: An interface for a factory that builds a GrammaticalStructure from a list of TypedDependencies and a TreeGraphNode.
Graph<V,E> - Interface in edu.stanford.nlp.graph
GREEN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
gzipFile(File, File) - Static method in class edu.stanford.nlp.io.FileSystem: Similar to the unix gzip command, only it does not delete the file after compressing it.

H

handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler: Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.OutputHandler: Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler: Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler: Handle a log Record, either as a filter or by producing a side effect.
handleParse(String, OutputStream) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer: Returns the result of applying the parser to arg as a string.
handleQuit() - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer: Tells the server to exit.
handler(LogRecordHandler, LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Add a handler to as a child of an existing parent
handleTree(String, OutputStream) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer: Returns the result of applying the parser to arg as a serialized tree.
has(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap: Returns true if the map contains the given key.
has(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap: Returns true if the map contains the given key.
hasAdjSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
hasAdvSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
HasCategory - Interface in edu.stanford.nlp.ling: Something that implements the HasCategory interface knows about categories.
hasChild(IndexedWord, GrammaticalRelation, String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
hasChildren(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
hasChildWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
HasContext - Interface in edu.stanford.nlp.ling
hasDigit(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
HasEvaluators - Interface in edu.stanford.nlp.optimization: Indicates that an minimizer supports evaluation periodically
hasFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
hasFactoredParse() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
hasFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
hasFeature(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
hasFont(String) - Static method in class edu.stanford.nlp.swing.FontDetector
HASH_MAP_CLASSNAME - Static variable in class edu.stanford.nlp.util.Generics
HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
HASH_MAP_PROPERTY - Static variable in class edu.stanford.nlp.util.Generics
HASH_SET_CLASSNAME - Static variable in class edu.stanford.nlp.util.Generics
HASH_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
HASH_SET_PROPERTY - Static variable in class edu.stanford.nlp.util.Generics
HashableCoreMap - Class in edu.stanford.nlp.util: An extension of ArrayCoreMap with an immutable set of key,value pairs that is used for equality and hashcode comparisons.
HashableCoreMap(Map<Class<? extends TypesafeMap.Key<?>>, Object>) - Constructor for class edu.stanford.nlp.util.HashableCoreMap: Creates an instance of HashableCoreMap with initial key,value pairs for the immutable, hashable keys as provided in the given map.
HashableCoreMap(ArrayCoreMap, Set<Class<? extends TypesafeMap.Key<?>>>) - Constructor for class edu.stanford.nlp.util.HashableCoreMap: Creates an instance by copying values from the given other CoreMap, using the values it associates with the given set of hashkeys for the immutable, hashable keys used by hashcode and equals.
HashableCoreMap.HashableCoreMapException - Exception in edu.stanford.nlp.util: An exception thrown when attempting to change the value associated with an (immutable) hash key in a HashableCoreMap.
HashableCoreMap.HashableCoreMapException(String) - Constructor for exception edu.stanford.nlp.util.HashableCoreMap.HashableCoreMapException
hashCode() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
hashCode() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: Be careful hashing these.
hashCode() - Method in class edu.stanford.nlp.ling.IndexedWord: This hashCode uses only the docID, sentenceIndex, and index.
hashCode() - Method in class edu.stanford.nlp.ling.ValueLabel: Return the hashCode of the String value providing there is one.
hashCode() - Method in class edu.stanford.nlp.ling.WordLemmaTag
hashCode() - Method in class edu.stanford.nlp.ling.WordTag
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.Edge
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.Hook
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
hashCode() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
hashCode() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
hashCode() - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns a hashCode which is the underlying Map's hashCode.
hashCode() - Method in class edu.stanford.nlp.stats.Distribution
hashCode() - Method in class edu.stanford.nlp.stats.IntCounter
hashCode() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
hashCode() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
hashCode() - Method in class edu.stanford.nlp.trees.Constituent: A hashCode for Constituents done by shifting and or'ing for speed.
hashCode() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
hashCode() - Method in class edu.stanford.nlp.trees.NamedDependency
hashCode() - Method in class edu.stanford.nlp.trees.Tree: Implements a hashCode for Tree's.
hashCode() - Method in class edu.stanford.nlp.trees.TreeGraphNode
hashCode() - Method in class edu.stanford.nlp.trees.TypedDependency
hashCode() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
hashCode() - Method in class edu.stanford.nlp.trees.UnnamedDependency
hashCode() - Method in class edu.stanford.nlp.util.ArrayCoreMap: Returns a composite hashCode over all the keys and values currently stored in the map.
hashCode() - Method in class edu.stanford.nlp.util.ArrayMap
hashCode() - Method in class edu.stanford.nlp.util.CollectionValuedMap
hashCode() - Method in class edu.stanford.nlp.util.HashableCoreMap: Provides a hash code based on the immutable keys and values provided to the constructor.
hashCode() - Method in class edu.stanford.nlp.util.Interval
hashCode() - Method in class edu.stanford.nlp.util.IntPair
hashCode() - Method in class edu.stanford.nlp.util.IntTuple
hashCode() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
hashCode() - Method in class edu.stanford.nlp.util.MetaClass
hashCode() - Method in class edu.stanford.nlp.util.MutableDouble
hashCode() - Method in class edu.stanford.nlp.util.MutableInteger
hashCode() - Method in class edu.stanford.nlp.util.Pair
hashCode() - Method in class edu.stanford.nlp.util.ScoredComparator: Return the hashCode: there are only two distinct comparators by equals().
hashCode() - Method in class edu.stanford.nlp.util.Triple
hashCode() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
hashCode() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
hashCodeCache - Variable in class edu.stanford.nlp.util.ArrayMap
HashIndex<E> - Class in edu.stanford.nlp.util: An Index is a collection that maps between an Object vocabulary and a contiguous non-negative integer index series beginning (inclusively) at 0.
HashIndex() - Constructor for class edu.stanford.nlp.util.HashIndex: Creates a new Index.
HashIndex(int) - Constructor for class edu.stanford.nlp.util.HashIndex: Creates a new Index.
HashIndex(Collection<? extends E>) - Constructor for class edu.stanford.nlp.util.HashIndex: Creates a new Index and adds every member of c to it.
HashIndex(Index<? extends E>) - Constructor for class edu.stanford.nlp.util.HashIndex
hashMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
hashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory: Return a MapFactory that returns a HashMap.
hashSetFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
HasIndex - Interface in edu.stanford.nlp.ling
hasInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
HasInitial - Interface in edu.stanford.nlp.optimization: Indicates that a function has a method for supplying an intitial value.
HasInterval<E extends java.lang.Comparable<E>> - Interface in edu.stanford.nlp.util: HasInterval interface
HasLemma - Interface in edu.stanford.nlp.ling: Something that implements the HasLemma interface knows about lemmas.
hasNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
hasNaN(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
hasNext() - Method in class edu.stanford.nlp.objectbank.LineIterator
hasNext() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
hasNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer: Returns true if this Tokenizer has more elements.
hasNext() - Method in interface edu.stanford.nlp.process.Tokenizer: Returns true if and only if this Tokenizer has more elements.
hasNext() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
hasNext() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
hasNext() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
hasNext() - Method in class edu.stanford.nlp.util.AbstractIterator
hasNext() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
hasNext() - Method in class edu.stanford.nlp.util.ConcatenationIterator
hasNext() - Method in class edu.stanford.nlp.util.FilteredIterator
hasNext() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Returns true if the priority queue is non-empty
hasNounSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
HasOffset - Interface in edu.stanford.nlp.ling: Something that implements the HasOffset interface bears a offset reference to the original text
HasParent - Interface in edu.stanford.nlp.trees: Only to be implemented by Tree subclasses that actualy keep their parent pointers.
hasParentWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns true if vertex has an incoming relation reln
hasParse() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Does the sentence in the last call to parse() have a parse? In theory this method shouldn't be here, but it seemed a convenient place to put it for our more general parser interface.
hasParse() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
hasParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
hasParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
hasParse() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
hasPossiblePlural(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
hasProperty(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Returns true iff the given Properties contains a property with the given key (name), and its value is not "false" or "no" or "off".
hasPunc(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
HasRegularizerParamRange - Interface in edu.stanford.nlp.optimization: Indicates that an minimizer supports evaluation periodically
hasSplit() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
HasTag - Interface in edu.stanford.nlp.ling: Something that implements the HasTag interface knows about part-of-speech tags.
hasVerbSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
HasWord - Interface in edu.stanford.nlp.ling: Something that implements the HasWord interface knows about words.
head - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
head - Variable in class edu.stanford.nlp.parser.lexparser.Item
head() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Returns a ChineseHeadFinder
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams: returns a NegraHeadFinder
headFinder() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams: returns a TueBaDZHeadFinder.
HeadFinder - Interface in edu.stanford.nlp.trees: An interface for finding the "head" daughter of a phrase structure tree.
headFinder() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack: The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack: The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
headFinder() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack: The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: The HeadFinder to use for your treebank.
headFinder() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: The HeadFinder to use for your treebank.
headMark - Static variable in class edu.stanford.nlp.trees.TreePrint
headPreTerminal(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree: Returns the preterminal tree that is the head of the tree.
headTagNode() - Method in class edu.stanford.nlp.trees.TreeGraphNode: Return the node containing the head tag for this node (or null if none), as recorded in this node's CoreLabel.
headTerminal(HeadFinder, Tree) - Method in class edu.stanford.nlp.trees.Tree: Returns the tree leaf that is the head of the tree.
headTerminal(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree: Returns the tree leaf that is the head of the tree.
headWordNode() - Method in class edu.stanford.nlp.trees.TreeGraphNode: Return the node containing the head word for this node (or null if none), as recorded in this node's CoreLabel.
Heap<E> - Interface in edu.stanford.nlp.util: Heap interface.
HebrewTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.hebrew
HebrewTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
HebrewTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: Initial version of a parser pack for the HTB.
HebrewTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
HebrewTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
HebrewTreeNormalizer - Class in edu.stanford.nlp.trees.international.hebrew
HebrewTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer
HebrewTreeNormalizer.HebrewEmptyFilter - Class in edu.stanford.nlp.trees.international.hebrew: Remove traces and pronoun deletion markers.
HebrewTreeNormalizer.HebrewEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer.HebrewEmptyFilter
HebrewTreeReaderFactory - Class in edu.stanford.nlp.trees.international.hebrew
HebrewTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
height(Tree, FontMetrics) - Static method in class edu.stanford.nlp.parser.ui.TreeJPanel
help() - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
hide() - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels: Hides all of these channels.
hideAll() - Method in class edu.stanford.nlp.util.logging.VisibilityHandler: Show none of the channels
hideAllChannels() - Static method in class edu.stanford.nlp.util.logging.Redwood: Hide all channels.
hideChannels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood: Hide multiple channels.
hideChannels(Object[]) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Hide the following channels.
hideOnlyChannels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood: Hide multiple channels.
highestNodeWithSameHead() - Method in class edu.stanford.nlp.trees.TreeGraphNode: Checks the node's ancestors to find the highest ancestor with the same headWordNode as this node.
hIndex(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Calculate h-Index (Hirsch, 2005) of an author.
Hook - Class in edu.stanford.nlp.parser.lexparser: Class for parse table hooks.
Hook(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Hook
Hook(Hook) - Constructor for class edu.stanford.nlp.parser.lexparser.Hook
HORIZONTAL_ALIGN - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel
howLong() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record: Return the time in seconds since this class was created.
HSEL_CUT - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
hSelSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
HTKLatticeReader - Class in edu.stanford.nlp.parser.lexparser
HTKLatticeReader(String) - Constructor for class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
HTKLatticeReader(String, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
HTKLatticeReader(String, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
HTKLatticeReader.LatticeWord - Class in edu.stanford.nlp.parser.lexparser
HTKLatticeReader.LatticeWord(String, int, int, double, double, int, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
hypergeometric(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Find a hypergeometric distribution.

I

IBMArabicEscaper - Class in edu.stanford.nlp.international.arabic: This escaper is intended for use on flat input to be parsed by LexicalizedParser.
IBMArabicEscaper() - Constructor for class edu.stanford.nlp.international.arabic.IBMArabicEscaper
IBMArabicEscaper(boolean) - Constructor for class edu.stanford.nlp.international.arabic.IBMArabicEscaper
IDENTITY_HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
IdentityFunction<X> - Class in edu.stanford.nlp.objectbank: An Identity function that returns its argument.
IdentityFunction() - Constructor for class edu.stanford.nlp.objectbank.IdentityFunction
identityHashMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
identityHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory: Return a MapFactory that returns an IdentityHashMap.
IdentityHashSet<E> - Class in edu.stanford.nlp.util: This class provides a IdentityHashMap-backed implementation of the Set interface.
IdentityHashSet() - Constructor for class edu.stanford.nlp.util.IdentityHashSet: Construct a new, empty IdentityHashSet whose backing IdentityHashMap has the default expected maximum size (21);
IdentityHashSet(int) - Constructor for class edu.stanford.nlp.util.IdentityHashSet: Construct a new, empty IdentityHashSet whose backing IdentityHashMap has the specified expected maximum size.
IdentityHashSet(Collection<? extends E>) - Constructor for class edu.stanford.nlp.util.IdentityHashSet: Construct a new IdentityHashSet with the same elements as the supplied Collection (eliminating any duplicates, of course); the backing IdentityHashMap will have the default expected maximum size (21).
ifrf - Variable in class edu.stanford.nlp.objectbank.ObjectBank
IGNORE - Static variable in interface edu.stanford.nlp.io.Lexer
ignorePunc - Variable in class edu.stanford.nlp.trees.DependencyScoring
in - Variable in class edu.stanford.nlp.ling.DocumentReader: Reader used to read in document text.
includesBegin() - Method in class edu.stanford.nlp.util.Interval: Returns whether the start endpoint is included in the interval
includesEnd() - Method in class edu.stanford.nlp.util.Interval: Returns whether the end endpoint is included in the interval
incomingEdgeIterable(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
incomingEdgeIterable(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
incomingEdgeIterator(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
incomingEdgeList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
increasingLength - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Parse trees in test treebank in order of increasing length.
incrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
incrementCount(E) - Method in class edu.stanford.nlp.stats.AbstractCounter
incrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter: Increments the count for the given key by the given value.
incrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter: Increments the count for this key by 1.0.
incrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter: Increments the count for the given key by the given value.
incrementCount(E) - Method in interface edu.stanford.nlp.stats.Counter: Increments the count for this key by 1.0.
incrementCount(List<K>, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: equivalent to incrementCount(l,o,1.0).
incrementCount(List<K>, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: same as incrementCount(List, double) but as if Object o were at the end of the list
incrementCount(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Equivalent to incrementCount(l, 1.0).
incrementCount(List<K>, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: adds to count for the GeneralizedCounter.depth()-dimensional key l.
incrementCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter: Adds the given count to the current count for the given key.
incrementCount(E) - Method in class edu.stanford.nlp.stats.IntCounter: Adds 1 to the count for the given key.
incrementCount(E, double) - Method in class edu.stanford.nlp.stats.IntCounter
incrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
incrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
incrementCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
incrementCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
incrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
incrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
incrementCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
incrementCount1D(K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Equivalent to incrementCount1D(o, 1.0).
incrementCount1D(K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Equivalent to GeneralizedCounter.incrementCount(java.util.List<K>, K)({o}, count); only works for a depth 1 GeneralizedCounter.
incrementCount2D(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Equivalent to incrementCount2D(first,second,1.0).
incrementCount2D(K, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Equivalent to incrementCount( new Object[] { first, second }, count ).
incrementCount3D(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Equivalent to incrementCount3D(first,second,1.0).
incrementCount3D(K, K, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Equivalent to incrementCount( new Object[] { first, second, third }, count ).
incrementCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter: Adds the given count to the current counts for each of the given keys.
incrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Adds 1 to the counts for each of the given keys.
incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
incrementTreesRead(double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: If training on a per-word basis instead of on a per-tree basis, we will want to increment the tree count as this happens
incrementTreesRead(double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
incValue(int) - Method in class edu.stanford.nlp.util.MutableInteger: Add the argument to the value of this integer.
inDegree(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
indentedListPrint() - Method in class edu.stanford.nlp.trees.Tree: Indented list printing of a tree.
indentedListPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree: Indented list printing of a tree.
indentedXMLPrint() - Method in class edu.stanford.nlp.trees.Tree: Indented xml printing of a tree.
indentedXMLPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree: Indented xml printing of a tree.
index() - Method in class edu.stanford.nlp.ling.CoreLabel
index() - Method in interface edu.stanford.nlp.ling.HasIndex
index() - Method in class edu.stanford.nlp.trees.TreeGraphNode: Get the index for the current node.
Index<E> - Interface in edu.stanford.nlp.util: Minimalist interface for implementations of Index.
index - Variable in class edu.stanford.nlp.util.StringParsingTask
IndexedWord - Class in edu.stanford.nlp.ling: This class is mainly for use with RTE in terms of the methods it provides, but on a more general level, it provides a CoreLabel that uses its DocIDAnnotation, SentenceIndexAnnotation, and IndexAnnotation to implement Comparable/compareTo, hashCode, and equals.
IndexedWord() - Constructor for class edu.stanford.nlp.ling.IndexedWord: Default constructor; uses CoreLabel default constructor
IndexedWord(Label) - Constructor for class edu.stanford.nlp.ling.IndexedWord: Copy Constructor - relies on CoreLabel copy constructor It will set the value, and if the word is not set otherwise, set the word to the value.
IndexedWord(CoreLabel) - Constructor for class edu.stanford.nlp.ling.IndexedWord: Construct an IndexedWord from a CoreLabel just as for a CoreMap.
IndexedWord(CoreMap) - Constructor for class edu.stanford.nlp.ling.IndexedWord: Copy Constructor - relies on CoreLabel copy constructor
IndexedWord(String, int, int) - Constructor for class edu.stanford.nlp.ling.IndexedWord: Constructor for setting docID, sentenceIndex, and index without any other annotations.
IndexedWord(String, int, int, CoreLabel) - Constructor for class edu.stanford.nlp.ling.IndexedWord: Copies the given label and then sets the docID, sentenceIndex, and Index; if these differ from those in label, the parameters will be used (not the label values).
indexLeaves() - Method in class edu.stanford.nlp.trees.Tree: Assign sequential integer indices to the leaves of the tree rooted at this Tree, starting with 1.
indexLeaves(boolean) - Method in class edu.stanford.nlp.trees.Tree: Index the leaves, and optionally overwrite existing IndexAnnotations if they exist.
indexNodes() - Method in class edu.stanford.nlp.trees.TreeGraphNode: Assign sequential integer indices (starting with 0) to all nodes of the subtree rooted at this TreeGraphNode.
indexOf(int, int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
indexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
indexOf(E) - Method in class edu.stanford.nlp.util.DeltaIndex
indexOf(E, boolean) - Method in class edu.stanford.nlp.util.DeltaIndex
indexOf(E) - Method in class edu.stanford.nlp.util.HashIndex: Returns the integer index of the Object in the Index or -1 if the Object is not already in the Index.
indexOf(E, boolean) - Method in class edu.stanford.nlp.util.HashIndex: Takes an Object and returns the integer index of the Object, perhaps adding it to the index first.
indexOf(E) - Method in interface edu.stanford.nlp.util.Index: Returns the integer index of the Object in the Index or -1 if the Object is not already in the Index.
indexOf(E, boolean) - Method in interface edu.stanford.nlp.util.Index: Takes an Object and returns the integer index of the Object, perhaps adding it to the index first.
indexSpans() - Method in class edu.stanford.nlp.trees.Tree
indexSpans(int) - Method in class edu.stanford.nlp.trees.Tree
indexSpans(MutableInteger) - Method in class edu.stanford.nlp.trees.Tree: Assigns span indices (BeginIndexAnnotation and EndIndexAnnotation) to all nodes in a tree.
indexToBinaryScore(int) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
indexToBinaryTransform(int) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
indexToUnaryScore(int) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
indexToUnaryTransform(int) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
indices(Collection<E>) - Method in class edu.stanford.nlp.util.HashIndex: Returns the index of each elem in a List.
INDIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "indirect object" grammatical relation.
INFINITIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "infinitival modifier" grammatical relation.
inFlow(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
info - Variable in class edu.stanford.nlp.util.logging.OutputHandler: The current track info; used to avoid trackStack.peek() calls
init(String, String, boolean) - Static method in class edu.stanford.nlp.ling.BasicDocument: Inits a new BasicDocument with the given text contents and title.
init(String, String) - Static method in class edu.stanford.nlp.ling.BasicDocument: Calls init(text,title,true)
init(String, boolean) - Static method in class edu.stanford.nlp.ling.BasicDocument: Calls init(text,null,keepOriginalText)
init(String) - Static method in class edu.stanford.nlp.ling.BasicDocument: Calls init(text,null,true)
init() - Static method in class edu.stanford.nlp.ling.BasicDocument: Calls init((String)null,null,true)
init(Reader, String, boolean) - Static method in class edu.stanford.nlp.ling.BasicDocument: Inits a new BasicDocument by reading in the text from the given Reader.
init(Reader, String) - Method in class edu.stanford.nlp.ling.BasicDocument: Calls init(textReader,title,true)
init(Reader, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument: Calls init(textReader,null,keepOriginalText)
init(Reader) - Method in class edu.stanford.nlp.ling.BasicDocument: Calls init(textReader,null,true)
init(File, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument: Inits a new BasicDocument by reading in the text from the given File.
init(File, String) - Method in class edu.stanford.nlp.ling.BasicDocument: Calls init(textFile,title,true)
init(File, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument: Calls init(textFile,textFile.getCanonicalPath(),keepOriginalText)
init(File) - Method in class edu.stanford.nlp.ling.BasicDocument: Calls init(textFile,textFile.getCanonicalPath(),true)
init(URL, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument: Constructs a new BasicDocument by reading in the text from the given URL.
init(URL, String) - Method in class edu.stanford.nlp.ling.BasicDocument: Calls init(textURL,title,true)
init(URL, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument: Calls init(textURL,textFile.toExternalForm(),keepOriginalText)
init(URL) - Method in class edu.stanford.nlp.ling.BasicDocument: Calls init(textURL,textURL.toExternalForm(),true)
init(List<? extends Word>, String) - Method in class edu.stanford.nlp.ling.BasicDocument: Inits a new BasicDocument with the given list of words and title.
init(List<? extends Word>) - Method in class edu.stanford.nlp.ling.BasicDocument: Calls init(words,null)
init() - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
INIT_FROM_TREES - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
initEVALBfiles(TreebankLangParserParams) - Static method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
initFiles(TreebankLangParserParams, String, String) - Method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
initFiles(TreebankLangParserParams, String) - Method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
initial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
initial() - Method in interface edu.stanford.nlp.optimization.HasInitial: Returns the intitial point in the domain (but not necessarily a feasible one).
initialize(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
initializePossibles() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: These arrays are used by the factored parser (only) during edge combination.
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer
initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModelTrainer
initializeTraining(double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: Start training this lexicon on the expected number of trees.
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer: Initialize the trainer with a few of the data structures it needs to train.
initializeTraining(double) - Method in interface edu.stanford.nlp.process.WordSegmenter
initRulesWithWord() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
initRulesWithWord() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon: Rule table is lemmas!
initTagBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
innerProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
innerProduct(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
input - Variable in class edu.stanford.nlp.fsm.TransducerGraph.Arc
inputEncoding - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
inputPrior - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
insertDtr(Tree, int) - Method in class edu.stanford.nlp.trees.Tree: insert dtr after position existing daughters in this.
install() - Static method in class edu.stanford.nlp.util.DisabledPreferencesFactory
IntCounter<E> - Class in edu.stanford.nlp.stats: A specialized kind of hash table (or map) for storing numeric counts for objects.
IntCounter() - Constructor for class edu.stanford.nlp.stats.IntCounter: Constructs a new (empty) Counter.
IntCounter(MapFactory<E, MutableInteger>) - Constructor for class edu.stanford.nlp.stats.IntCounter: Pass in a MapFactory and the map it vends will back your counter.
IntCounter(IntCounter<E>) - Constructor for class edu.stanford.nlp.stats.IntCounter: Constructs a new Counter with the contents of the given Counter.
IntDependency - Class in edu.stanford.nlp.parser.lexparser: Maintains a dependency between head and dependent where they are each an IntTaggedWord.
IntDependency(IntTaggedWord, IntTaggedWord, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntDependency
IntDependency(int, int, int, int, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntDependency
intern(IntTaggedWord, IntTaggedWord, boolean, short) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar: This is a custom interner that simultaneously creates and interns an IntDependency.
intern(T) - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner: Returns a unique object o' that .equals the argument o.
intern(T) - Method in class edu.stanford.nlp.util.Interner: Returns a unique object o' that .equals the argument o.
internAll(Set<T>) - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner: Returns a Set such that each element in the returned set is a unique object e' that .equals the corresponding element e in the original set.
internAll(Set<T>) - Method in class edu.stanford.nlp.util.Interner: Returns a Set such that each element in the returned set is a unique object e' that .equals the corresponding element e in the original set.
internedStringPair(String, String) - Static method in class edu.stanford.nlp.util.Pair: Returns an MutableInternedPair where the Strings have been interned.
interner - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
interner - Static variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
Interner<T> - Class in edu.stanford.nlp.util: For interning (canonicalizing) things.
Interner() - Constructor for class edu.stanford.nlp.util.Interner
interner - Static variable in class edu.stanford.nlp.util.Interner
interp - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Interpolation between model that directly predicts aTW and model that predicts aT and then aW given aT.
intersect(Interval<E>) - Method in class edu.stanford.nlp.util.Interval: Returns interval that is the intersection of this and the other interval Returns null if intersect is null
intersection(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a counter that is the intersection of c1 and c2.
intersection(Set<T>, Set<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
intersection(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets: Returns the intersection of sets s1 and s2.
intersects(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets: Returns true if there is at least element that is in both s1 and s2.
Interval<E extends java.lang.Comparable<E>> - Class in edu.stanford.nlp.util: Represents a interval of a generic type E that is comparable.
Interval(E, E, int) - Constructor for class edu.stanford.nlp.util.Interval
Interval.RelType - Enum in edu.stanford.nlp.util: RelType gives the basic types of relations between two intervals
INTERVAL_OPEN_BEGIN - Static variable in class edu.stanford.nlp.util.Interval: Flag indicating that an interval's begin point is not inclusive (by default, begin points are inclusive)
INTERVAL_OPEN_END - Static variable in class edu.stanford.nlp.util.Interval: Flag indicating that an interval's end point is not inclusive (by default, begin points are inclusive)
IntPair - Class in edu.stanford.nlp.util
IntPair() - Constructor for class edu.stanford.nlp.util.IntPair
IntPair(int, int) - Constructor for class edu.stanford.nlp.util.IntPair
intPow(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Exponentiation like we learned in grade school: multiply b by itself e times.
intPow(float, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Exponentiation like we learned in grade school: multiply b by itself e times.
intPow(double, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Exponentiation like we learned in grade school: multiply b by itself e times.
IntQuadruple - Class in edu.stanford.nlp.util
IntQuadruple() - Constructor for class edu.stanford.nlp.util.IntQuadruple
IntQuadruple(int, int, int, int) - Constructor for class edu.stanford.nlp.util.IntQuadruple
IntTaggedWord - Class in edu.stanford.nlp.parser.lexparser: Represents a WordTag (in the sense that equality is defined on both components), where each half is represented by an int indexed by a Index.
IntTaggedWord(int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord
IntTaggedWord(String, char, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord: Creates an IntTaggedWord given by the String representation of the form <word>|<tag*gt;
IntTaggedWord(String, String, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord: Creates an IntTaggedWord given by the tagString and wordString
IntTriple - Class in edu.stanford.nlp.util
IntTriple() - Constructor for class edu.stanford.nlp.util.IntTriple
IntTriple(int, int, int) - Constructor for class edu.stanford.nlp.util.IntTriple
IntTuple - Class in edu.stanford.nlp.util: A tuple of int.
IntTuple(int[]) - Constructor for class edu.stanford.nlp.util.IntTuple
IntTuple(int) - Constructor for class edu.stanford.nlp.util.IntTuple
IntUni - Class in edu.stanford.nlp.util: Just a single integer
IntUni() - Constructor for class edu.stanford.nlp.util.IntUni
IntUni(int) - Constructor for class edu.stanford.nlp.util.IntUni
intValue() - Method in class edu.stanford.nlp.util.MutableDouble
intValue() - Method in class edu.stanford.nlp.util.MutableInteger
invert(Map<X, Y>) - Static method in class edu.stanford.nlp.util.Maps: Inverts a map x->y to a map y->x assuming unique preimages.
invertSet(Map<X, Y>) - Static method in class edu.stanford.nlp.util.Maps: Inverts a map x->y to a map y->pow(x) not assuming unique preimages.
IOUtils - Class in edu.stanford.nlp.io: Helper Class for various I/O related things.
IP_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "verb modifier" grammatical relation.
iPossible(Hook) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
iPossible(Hook) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
iPossible(Hook) - Method in interface edu.stanford.nlp.parser.lexparser.Scorer
iPossibleByL - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
iPossibleByR - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
iPossibleL(int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
iPossibleR(int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
isAcronym(String) - Static method in class edu.stanford.nlp.util.StringUtils: Given a String the method uses Regex to check if the String looks like an acronym
isActive(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
isAllCaps(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
isAlpha(String) - Static method in class edu.stanford.nlp.util.StringUtils: Given a String the method uses Regex to check if the String only contains alphabet characters
isAlphanumeric(String) - Static method in class edu.stanford.nlp.util.StringUtils: Given a String the method uses Regex to check if the String only contains alphanumeric characters
isAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Searches up to 2 levels to determine how far ancestor is from child (i.e., returns 1 if "ancestor" is a parent, or 2 if ancestor is a grandparent.
isAncestor(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation: Returns whether this is equal to or an ancestor of gr in the grammatical relations hierarchy.
isApplicable(Tree) - Method in class edu.stanford.nlp.trees.GrammaticalRelation: Returns true iff the value of Tree node t matches the sourcePattern for this GrammaticalRelation, indicating that this GrammaticalRelation is one that could hold between Tree node t and some other node.
isAuxiliaryVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns true iff this vertex stands in the "aux" relation to (any of) its parent(s).
isBreaking(String) - Static method in class edu.stanford.nlp.util.XMLUtils
isBreaking(XMLUtils.XMLTag) - Static method in class edu.stanford.nlp.util.XMLUtils
isCapitalized(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
isCapitalized(String) - Static method in class edu.stanford.nlp.util.StringUtils: Check if a string begins with an uppercase.
isCloseTo(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
isConnected(Collection<TypedDependency>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Checks if all the typeDependencies are connected
iScore(Edge) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
iScore - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
iScore(Edge) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
iScore - Variable in class edu.stanford.nlp.parser.lexparser.Item
iScore(Edge) - Method in interface edu.stanford.nlp.parser.lexparser.Scorer
isDag() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
isDangerous(double) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns true if the argument is a "dangerous" double to have around, namely one that is infinite, NaN or zero.
isDigit(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
isDot(char) - Method in class edu.stanford.nlp.util.StringParsingTask
isEdge(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: only checks if there is an edge from source to dest.
isEdge(V, V) - Method in interface edu.stanford.nlp.graph.Graph: only checks if there is an edge from source to dest.
isEdge() - Method in class edu.stanford.nlp.parser.lexparser.Edge
isEdge() - Method in class edu.stanford.nlp.parser.lexparser.Item
isEmpty() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: False if there are any vertices in the graph, true otherwise.
isEmpty() - Method in interface edu.stanford.nlp.graph.Graph: False if there are any vertices in the graph, true otherwise.
isEmpty() - Method in class edu.stanford.nlp.objectbank.ObjectBank
isEmpty() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
isEmpty() - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns whether a Counter has no keys in it.
isEmpty() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns true if nothing has a count.
isEmpty() - Method in class edu.stanford.nlp.stats.IntCounter
isEmpty() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
isEmpty() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
isEmpty() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
isEmpty() - Method in class edu.stanford.nlp.util.ArrayHeap: Checks if the heap is empty.
isEmpty() - Method in class edu.stanford.nlp.util.ArrayMap
isEmpty() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Checks if the queue is empty.
isEmpty() - Method in class edu.stanford.nlp.util.CollectionValuedMap
isEmpty() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
isEmpty() - Method in class edu.stanford.nlp.util.DeltaIndex
isEmpty() - Method in interface edu.stanford.nlp.util.Heap: Returns true iff the heap is empty.
isEmpty() - Method in class edu.stanford.nlp.util.IdentityHashSet: Returns true if this set contains no elements.
isEmpty() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
isEmpty() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
isEmpty() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
isEndTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
isEOF - Variable in class edu.stanford.nlp.util.StringParsingTask
isEOF() - Method in class edu.stanford.nlp.util.StringParsingTask
isEol(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter: Say whether the String is the end-of-line token for this tokenizer.
isEvalBIgnoredPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
isEvalBIgnoredPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
isEvalBIgnoredPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
isEvalGF() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
isExtra() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
isForeign(String) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
isFromString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation: This function is used to determine whether the GrammaticalRelation in question is one that was created to be a thin wrapper around a String representation by valueOf(String), or whether it is a full-fledged GrammaticalRelation created by direct invocation of the constructor.
isInConditionalContext(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Check if the vertex is in a "conditional" context.
isIntervalComparable(Interval<E>) - Method in class edu.stanford.nlp.util.Interval: Checks whether this interval is comparable with another interval comes before or after
isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Checks whether a word is in the lexicon.
isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Checks whether a word is in the lexicon.
isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
isKnown(int) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: Checks whether a word is in the lexicon.
isKnown(String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: Checks whether a word is in the lexicon.
isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Say whether this character is an annotation introducing character.
isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder: Say whether this character is an annotation introducing character.
isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder: Say whether this character is an annotation introducing character.
isLabelAnnotationIntroducingCharacter(char) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Say whether this character is an annotation introducing character.
isLeaf() - Method in class edu.stanford.nlp.trees.Tree: Says whether a node is a leaf.
isLeaveGF() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
isLeaveGF() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
isLeftParen(char) - Method in class edu.stanford.nlp.util.StringParsingTask
isLimitedGF() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
isLocked() - Method in class edu.stanford.nlp.util.DeltaIndex
isLocked() - Method in class edu.stanford.nlp.util.HashIndex: Queries the Index for whether it's locked or not.
isLocked() - Method in interface edu.stanford.nlp.util.Index: Queries the Index for whether it's locked or not.
isNegatedVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
isNeighbor(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
isNeighbor(V, V) - Method in interface edu.stanford.nlp.graph.Graph
isNumber(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
isNumeric(String) - Static method in class edu.stanford.nlp.util.StringUtils: Given a String the method uses Regex to check if the String only contains numeric characters
isOneSentence() - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
isPhrasal() - Method in class edu.stanford.nlp.trees.Tree: Return whether this node is a phrasal node or not.
isPostHook() - Method in class edu.stanford.nlp.parser.lexparser.Hook
isPostHook() - Method in class edu.stanford.nlp.parser.lexparser.Item
isPreHook() - Method in class edu.stanford.nlp.parser.lexparser.Hook
isPreHook() - Method in class edu.stanford.nlp.parser.lexparser.Item
isPrePreTerminal() - Method in class edu.stanford.nlp.trees.Tree: Return whether all the children of this node are preterminals or not.
isPreTerminal() - Method in class edu.stanford.nlp.trees.Tree: Return whether this node is a preterminal or not.
isPunc(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
isPunct(char) - Method in class edu.stanford.nlp.util.StringParsingTask
isPunct(String) - Static method in class edu.stanford.nlp.util.StringUtils: Given a String the method uses Regex to check if the String only contains punctuation characters
isPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Accepts a String that is a punctuation tag name, and rejects everything else.
isPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Accepts a String that is a punctuation tag name, and rejects everything else.
isPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Accepts a String that is a punctuation tag name, and rejects everything else.
isPunctuationWord(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Accepts a String that is a punctuation word, and rejects everything else.
isPunctuationWord(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Accepts a String that is a punctuation word, and rejects everything else.
isPunctuationWord(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Accepts a String that is a punctuation word, and rejects everything else.
isRightParen(char) - Method in class edu.stanford.nlp.util.StringParsingTask
isSentenceFinalPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Accepts a String that is a sentence end punctuation tag, and rejects everything else.
isSentenceFinalPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Accepts a String that is a sentence end punctuation tag, and rejects everything else.
isSentenceFinalPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Accepts a String that is a sentence end punctuation tag, and rejects everything else.
isSingleTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
isStartSymbol(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Accepts a String that is a start symbol of the treebank.
isStartSymbol(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Accepts a String that is a start symbol of the treebank.
isSubList(List<T>, List<? super T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns true iff l1 is a sublist of l (i.e., every member of l1 is in l, and for every e1 < e2 in l1, there is an e1 < e2 occurrence in l).
isSynthetic(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
isSynthetic(String) - Static method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
isSyntheticState(String) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
isTag - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
isUnaryRewrite() - Method in class edu.stanford.nlp.trees.Tree: Says whether the current node has only one child.
isVerbalAuxiliary(Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder: Returns true if this tree is a preterminal that is a verbal auxiliary.
isVeryDangerous(double) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns true if the argument is a "very dangerous" double to have around, namely one that is infinite or NaN.
isWhiteSpace(char) - Method in class edu.stanford.nlp.util.StringParsingTask
ITALIC - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
Item - Class in edu.stanford.nlp.parser.lexparser: Abstract class for parse items.
Item(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Item
Item(Item) - Constructor for class edu.stanford.nlp.parser.lexparser.Item
ITERATIONS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
iterativeCKY - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If true, use faster iterative deepening CKY algorithm.
IterativeCKYPCFGParser - Class in edu.stanford.nlp.parser.lexparser: Does iterative deepening search inside the CKY algorithm for faster parsing.
IterativeCKYPCFGParser(BinaryGrammar, UnaryGrammar, Lexicon, Options, Index<String>, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.IterativeCKYPCFGParser
iterator() - Method in class edu.stanford.nlp.objectbank.ObjectBank
iterator() - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Returns an Iterator over the input sources in the underlying Collection.
iterator() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
iterator() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
iterator() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
iterator() - Method in class edu.stanford.nlp.process.DocumentPreprocessor: Returns sentences until the document is exhausted.
iterator() - Method in class edu.stanford.nlp.stats.ClassicCounter: This is a shorthand for keySet.iterator().
iterator() - Method in class edu.stanford.nlp.stats.IntCounter
iterator() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
iterator() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
iterator() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
iterator() - Method in class edu.stanford.nlp.trees.CompositeTreebank
iterator() - Method in class edu.stanford.nlp.trees.DiskTreebank: Return an Iterator over Trees in the Treebank.
iterator() - Method in class edu.stanford.nlp.trees.FilteringTreebank
iterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank: Return an Iterator over Trees in the Treebank.
iterator() - Method in class edu.stanford.nlp.trees.TransformingTreebank
iterator() - Method in class edu.stanford.nlp.trees.Tree: Returns an iterator over all the nodes of the tree.
iterator() - Method in class edu.stanford.nlp.trees.treebank.ConfigParser
iterator() - Method in class edu.stanford.nlp.util.ArrayHeap
iterator() - Method in class edu.stanford.nlp.util.ArraySet: Returns iterator over elements of the set.
iterator() - Method in class edu.stanford.nlp.util.Beam
iterator() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
iterator() - Method in class edu.stanford.nlp.util.DeltaIndex: This is one instance where elements added to the backing index will show up in this index's operations
iterator() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
iterator() - Method in class edu.stanford.nlp.util.HashIndex: Returns an iterator over the elements of the collection.
iterator() - Method in interface edu.stanford.nlp.util.Heap: Returns an iterator over its elements, in order.
iterator() - Method in class edu.stanford.nlp.util.IdentityHashSet: Returns an iterator over the elements in this set.
iterator() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
iterator() - Method in class edu.stanford.nlp.util.TwoDimensionalMap: Iterate over the map using the iterator and entry inner classes.
iterator() - Method in class edu.stanford.nlp.util.TwoDimensionalSet: Iterate over the map using the iterator and entry inner classes.
IteratorFromReaderFactory<T> - Interface in edu.stanford.nlp.objectbank: An IteratorFromReaderFactory is used to convert a java.io.Reader into an Iterator over the Objects of type T represented by the text in the java.io.Reader.
iterFilesRecursive(File) - Static method in class edu.stanford.nlp.io.IOUtils: Iterate over all the files in the directory, recursively.
iterFilesRecursive(File, String) - Static method in class edu.stanford.nlp.io.IOUtils: Iterate over all the files in the directory, recursively.
iterFilesRecursive(File, Pattern) - Static method in class edu.stanford.nlp.io.IOUtils: Iterate over all the files in the directory, recursively.
itwInterner - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar

J

jaccardCoefficient(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns the Jaccard Coefficient of the two counters.
JarFileChooser - Class in edu.stanford.nlp.ui: This class shows a dialog which lets the user select a file from among a list of files contained in a given jar file.
JarFileChooser(String, JPanel) - Constructor for class edu.stanford.nlp.ui.JarFileChooser
JavaUtilLoggingAdaptor - Class in edu.stanford.nlp.util.logging: Reroutes java.util.logging messages to the Redwood logging system.
JavaUtilLoggingAdaptor.RedwoodHandler - Class in edu.stanford.nlp.util.logging: This is the bridge class which actually adapts java.util.logging calls to Redwood calls.
JavaUtilLoggingAdaptor.RedwoodHandler() - Constructor for class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
jensenShannonDivergence(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the Jensen Shannon divergence (information radius) between a and b, defined as the average of the kl divergences from a to b and from b to a.
jensenShannonDivergence(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Calculates the Jensen-Shannon divergence between the two counters.
JJTLOCATION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
JJTNODENAME - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
jjtNodeName - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
JJTNODESELECTION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
JJTNODESELECTIONLIST - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
JJTOPERATION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
JJTROOT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
JJTTREEDTRS - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
JJTTREENODE - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
JJTTREEROOT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
JJTTsurgeonParserState - Class in edu.stanford.nlp.trees.tregex.tsurgeon
JJTTsurgeonParserState() - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
join() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper: Blocks until all active processes finish.
join(List<? extends E>, String, Function<E, String>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
join(Iterable<X>, String) - Static method in class edu.stanford.nlp.util.StringUtils: Joins each elem in the Collection with the given glue.
join(Object[], String) - Static method in class edu.stanford.nlp.util.StringUtils: Joins each elem in the array with the given glue.
join(Iterable<?>) - Static method in class edu.stanford.nlp.util.StringUtils: Joins elems with a space.
join(Object[]) - Static method in class edu.stanford.nlp.util.StringUtils: Joins elements with a space.
joinJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Joint comparative and superlative adjective with positive.
joinNode(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree: Given nodes t1 and t2 which are dominated by this node, returns their "join node": the node j such that j dominates both t1 and t2, and every other node which dominates both t1 and t2 dominates j.
joinNounTags - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Join proper nouns with common nouns.
joinPound - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Join pound with dollar.
joinWithOriginalWhiteSpace(List<CoreLabel>) - Static method in class edu.stanford.nlp.util.StringUtils: Joins all the tokens together (more or less) according to their original whitespace.
joinWords(Iterable<? extends HasWord>, String) - Static method in class edu.stanford.nlp.util.StringUtils
joinWords(List<? extends HasWord>, String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils

K

KBestViterbiParser - Interface in edu.stanford.nlp.parser: An interface that supports finding k best and/or k good parses and parse sampling.
keepInMemory(boolean) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Tells the ObjectBank to store all of its contents in memory so that it doesn't have to be recomputed each time you iterate through it.
keepOriginalText - Variable in class edu.stanford.nlp.ling.DocumentReader: Whether to keep source text in document along with tokenized words.
KEY_VAL_DELIM - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatures
keysAbove(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Returns the set of keys whose counts are at or above the given threshold.
keysAbove(int) - Method in class edu.stanford.nlp.stats.IntCounter: Returns the set of keys whose counts are at or above the given threshold.
keysAt(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Returns the set of keys that have exactly the given count.
keysAt(int) - Method in class edu.stanford.nlp.stats.IntCounter: Returns the set of keys that have exactly the given count.
keysBelow(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Returns the set of keys whose counts are at or below the given threshold.
keysBelow(int) - Method in class edu.stanford.nlp.stats.IntCounter: Returns the set of keys whose counts are at or below the given threshold.
keySet() - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns the Set of keys in this counter.
keySet() - Method in interface edu.stanford.nlp.stats.Counter: Returns the Set of keys in this counter.
keySet() - Method in class edu.stanford.nlp.stats.Distribution
keySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns the set of keys, as read-only Lists of size equal to the depth of the GeneralizedCounter.
keySet() - Method in class edu.stanford.nlp.stats.IntCounter
keySet() - Method in class edu.stanford.nlp.util.ArrayCoreMap: Collection of keys currently held in this map.
keySet() - Method in class edu.stanford.nlp.util.CollectionValuedMap
keySet() - Method in interface edu.stanford.nlp.util.TypesafeMap: Collection of keys currently held in this map.
keysSpi() - Method in class edu.stanford.nlp.util.DisabledPreferences
kidLabels(Tree) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
kidLabels(Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
KILL - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation: Dummy relation, used while collapsing relations, in English & Chinese GrammaticalStructure
klDivergence(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
klDivergence(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Calculates the KL divergence between the two counters.

L

L1Norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
L1Norm(C) - Static method in class edu.stanford.nlp.stats.Counters: Return the L1 norm of a counter.
L1normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
L2Norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
L2Norm(C) - Static method in class edu.stanford.nlp.stats.Counters: Return the l2 norm (Euclidean vector length) of a Counter.
L2Normalize(C) - Static method in class edu.stanford.nlp.stats.Counters: L2 normalize a counter.
L2NormalizeInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: L2 normalize a counter in place.
label() - Method in class edu.stanford.nlp.ling.BasicDocument: Returns the first label for this Document, or null if none have been set.
Label - Interface in edu.stanford.nlp.ling: Something that implements the Label interface can act as a constituent, node, or word label with linguistic attributes.
label() - Method in interface edu.stanford.nlp.ling.Labeled: Returns the primary label for this Object, or null if none have been set.
label - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
label() - Method in class edu.stanford.nlp.trees.Constituent: access label
label() - Method in interface edu.stanford.nlp.trees.Labeled: Returns the Object's label.
label() - Method in class edu.stanford.nlp.trees.LabeledConstituent
label() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Returns the label associated with the current node, or null if there is no label
label() - Method in class edu.stanford.nlp.trees.Tree: Returns the label associated with the current node, or null if there is no label.
label - Variable in class edu.stanford.nlp.trees.TreeGraphNode: Label for this node.
label() - Method in class edu.stanford.nlp.trees.TreeGraphNode: Returns the label associated with the current node, or null if there is no label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack: Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack: Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack: Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
Labeled<E> - Interface in edu.stanford.nlp.ling: Interface for Objects that have a label, whose label is an Object.
Labeled - Interface in edu.stanford.nlp.trees: Interface for Objects which have a Label.
LabeledConstituent - Class in edu.stanford.nlp.trees: A LabeledConstituent object represents a single bracketing in a derivation, including start and end points and Label information, but excluding probabilistic information.
LabeledConstituent() - Constructor for class edu.stanford.nlp.trees.LabeledConstituent: Create an empty LabeledConstituent object.
LabeledConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent: Create a LabeledConstituent object with given values.
LabeledConstituent(int, int, Label) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent: Create a LabeledConstituent object with given values.
LabeledConstituent(int, int, String) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent: Create a LabeledConstituent object with given values.
LabeledScoredConstituent - Class in edu.stanford.nlp.trees: A LabeledScoredConstituent object defines an edge in a graph with a label and a score.
LabeledScoredConstituent() - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituent: Create an empty LabeledScoredConstituent object.
LabeledScoredConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituent: Create a LabeledScoredConstituent object with given values.
LabeledScoredConstituent(int, int, Label, double) - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituent: Create a LabeledScoredConstituent object with given values.
LabeledScoredConstituentFactory - Class in edu.stanford.nlp.trees: A LabeledScoredConstituentFactory acts as a factory for creating objects of class LabeledScoredConstituent.
LabeledScoredConstituentFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituentFactory
LabeledScoredTreeFactory - Class in edu.stanford.nlp.trees: A LabeledScoredTreeFactory acts as a factory for creating trees with labels and scores.
LabeledScoredTreeFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeFactory: Make a TreeFactory that produces LabeledScoredTree trees.
LabeledScoredTreeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeFactory: Make a TreeFactory that uses LabeledScoredTree trees, where the labels are as specified by the user.
LabeledScoredTreeNode - Class in edu.stanford.nlp.trees: A LabeledScoredTreeNode represents a tree composed of a root label, a score, and an array of daughter parse trees.
LabeledScoredTreeNode() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode: Create an empty parse tree.
LabeledScoredTreeNode(Label) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode: Create a leaf parse tree with given word.
LabeledScoredTreeNode(Label, double) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode: Create a leaf parse tree with given word and score.
LabeledScoredTreeNode(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode: Create parse tree with given root and array of daughter trees.
LabeledScoredTreeReaderFactory - Class in edu.stanford.nlp.trees: This class implements a TreeReaderFactory that produces labeled, scored array-based Trees, which have been cleaned up to delete empties, etc.
LabeledScoredTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory: Create a new TreeReaderFactory with CategoryWordTag labels.
LabeledScoredTreeReaderFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
LabeledScoredTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
LabeledScoredTreeReaderFactory(LabelFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
LabeledWord - Class in edu.stanford.nlp.ling: A LabeledWord object contains a word and its tag.
LabeledWord() - Constructor for class edu.stanford.nlp.ling.LabeledWord: Create a new TaggedWord.
LabeledWord(String) - Constructor for class edu.stanford.nlp.ling.LabeledWord: Create a new TaggedWord.
LabeledWord(String, Label) - Constructor for class edu.stanford.nlp.ling.LabeledWord: Create a new TaggedWord.
LabeledWord(Label, Label) - Constructor for class edu.stanford.nlp.ling.LabeledWord
labeledYield() - Method in class edu.stanford.nlp.trees.Tree
labeledYield(List<LabeledWord>) - Method in class edu.stanford.nlp.trees.Tree
labelFactory() - Method in class edu.stanford.nlp.ling.CategoryWordTag: Return a factory for this kind of label (i.e., CategoryWordTag).
labelFactory() - Method in class edu.stanford.nlp.ling.CoreLabel: Returns a factory that makes labels of the exact same type as this one.
labelFactory() - Method in class edu.stanford.nlp.ling.IndexedWord: Returns a factory that makes labels of the exact same type as this one.
labelFactory() - Method in interface edu.stanford.nlp.ling.Label: Returns a factory that makes labels of the exact same type as this one.
labelFactory() - Method in class edu.stanford.nlp.ling.LabeledWord: Return a factory for this kind of label (i.e., TaggedWord).
LabelFactory - Interface in edu.stanford.nlp.ling: A LabelFactory object acts as a factory for creating objects of class Label, or some descendant class.
labelFactory() - Method in class edu.stanford.nlp.ling.StringLabel: Return a factory for this kind of label (i.e., StringLabel).
labelFactory() - Method in class edu.stanford.nlp.ling.Tag: Return a factory for this kind of label (i.e., Tag).
labelFactory() - Method in class edu.stanford.nlp.ling.TaggedWord: Return a factory for this kind of label (i.e., TaggedWord).
labelFactory() - Method in class edu.stanford.nlp.ling.ValueLabel: Returns a factory that makes Labels of the appropriate sort.
labelFactory() - Method in class edu.stanford.nlp.ling.Word: Return a factory for this kind of label (i.e., Word).
labelFactory() - Method in class edu.stanford.nlp.ling.WordLemmaTag: Return a factory for this kind of label (i.e., TaggedWord).
labelFactory() - Method in class edu.stanford.nlp.ling.WordTag: Return a factory for this kind of label (i.e., TaggedWord).
labelFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
labelFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent: Return a factory for this kind of label.
labelFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent: Return a factory for this kind of label.
labelFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent: Return a factory for this kind of label.
labelFactory() - Method in class edu.stanford.nlp.trees.Tree: Returns a factory that makes labels of the same type as this one.
labelList2Text(List<? extends HasWord>) - Static method in class edu.stanford.nlp.process.PTBTokenizer: Returns a presentable version of the given PTB-tokenized words.
labels - Variable in class edu.stanford.nlp.ling.BasicDocument: Label(s) for this document.
labels() - Method in class edu.stanford.nlp.ling.BasicDocument: Returns the complete List of labels for this Document.
labels() - Method in interface edu.stanford.nlp.ling.Labeled: Returns the complete list of labels for this Object, which may be empty.
labels() - Method in class edu.stanford.nlp.trees.Constituent: Access labels -- actually always a singleton here.
labels() - Method in interface edu.stanford.nlp.trees.Labeled: Gives back all labels for this thing.
labels() - Method in class edu.stanford.nlp.trees.Tree: Get the set of all node and leaf Labels, null or otherwise, contained in the tree.
LANG - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
langIndependentPuncCheck(String) - Static method in class edu.stanford.nlp.trees.DependencyScoring
langpack() - Method in class edu.stanford.nlp.parser.lexparser.Options
Languages - Class in edu.stanford.nlp.international: Constants and parameters for multilingual parsing.
Languages.Language - Enum in edu.stanford.nlp.international
laplaceSmoothedDistribution(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution: Creates an Laplace smoothed Distribution from the given counter, ie adds one count to every item, including unseen ones, and divides by the total count.
laplaceSmoothedDistribution(Counter<E>, int, double) - Static method in class edu.stanford.nlp.stats.Distribution: Creates a smoothed Distribution using Lidstone's law, ie adds lambda (typically between 0 and 1) to every item, including unseen ones, and divides by the total count.
laplaceWithExplicitUnknown(Counter<E>, double, E) - Static method in class edu.stanford.nlp.stats.Distribution: Creates a smoothed Distribution with Laplace smoothing, but assumes an explicit count of "UNKNOWN" items.
lastChild() - Method in class edu.stanford.nlp.trees.Tree: Returns the last child of a tree, or null if none.
lastIndexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
lastValue() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
latinPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
Lattice - Class in edu.stanford.nlp.parser.lexparser
Lattice() - Constructor for class edu.stanford.nlp.parser.lexparser.Lattice
LatticeEdge - Class in edu.stanford.nlp.parser.lexparser
LatticeEdge(String, double, int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.LatticeEdge
LatticeScorer - Interface in edu.stanford.nlp.parser.lexparser
LC_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "localizer complement" grammatical relation.
LDCPosMapper - Class in edu.stanford.nlp.international.arabic.pipeline: Maps pre-terminal ATB morphological analyses to the shortened Bies tag set.
LDCPosMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
LDCPosMapper(boolean) - Constructor for class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
LeafAncestorEval - Class in edu.stanford.nlp.parser.metrics: Implementation of the Leaf Ancestor metric first described by Sampson and Babarczy (2003) and later analyzed more completely by Clegg and Shepherd (2005).
LeafAncestorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.LeafAncestorEval
leafLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees: returns the labels of the leaves in a Tree in the order that they're found.
LEARN_CLOSED_CLASS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
learningRate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: How fast to learn (can mean different things for different algorithms)
LEAVE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
leaveItAll - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: if true, leave all PTB (functional tag) annotations (bad)
leaves(Tree) - Static method in class edu.stanford.nlp.trees.Trees: returns the leaves in a Tree in the order that they're found.
LEFT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
leftAccepting(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
leftCharEdge(Tree) - Method in class edu.stanford.nlp.trees.Tree: Returns the positional index of the left edge of node within the tree, as measured by characters.
leftChild - Variable in class edu.stanford.nlp.parser.lexparser.BinaryRule
leftEdge(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees: Returns the positional index of the left edge of a tree t within a given root, as defined by the size of the yield of all material preceding t.
leftFA - Variable in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
leftHeaded - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
LeftHeadFinder - Class in edu.stanford.nlp.trees: HeadFinder that always returns the leftmost daughter as head.
LeftHeadFinder() - Constructor for class edu.stanford.nlp.trees.LeftHeadFinder
leftMargin - Variable in class edu.stanford.nlp.util.logging.OutputHandler: The length of the left margin in which to print channel information.
leftRec - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Left edge is right-recursive (X << X) Bad.
leftSisterLabels(Tree, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats: string-value labels of left sisters; from inside to outside (right-left)
leftToRight - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
lemma() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the lemma value of the label (or null if none).
lemma() - Method in interface edu.stanford.nlp.ling.HasLemma: Return the lemma value of the label (or null if none).
lemma() - Method in class edu.stanford.nlp.ling.WordLemmaTag
lemma(String, String) - Method in class edu.stanford.nlp.process.Morphology
lemma(String, String, boolean) - Method in class edu.stanford.nlp.process.Morphology
LEMMA_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
LEMMA_MARK - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
lemmaId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
lemmaStatic(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
lemmaStaticSynchronized(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
lemmatize(WordTag) - Method in class edu.stanford.nlp.process.Morphology: Lemmatize returning a WordLemmaTag .
lemmatizeStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology
length - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
length - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
length() - Method in class edu.stanford.nlp.util.IntTuple
LENGTH_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
lengthNormalization - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Turns on normalizing scores for sentence length.
lengthPenalty - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Parameters for a ChineseCharacterBasedLexicon
LengthTreeFilter - Class in edu.stanford.nlp.trees: Only accept trees that are short enough (less than or equal to length).
LengthTreeFilter(int) - Constructor for class edu.stanford.nlp.trees.LengthTreeFilter
lex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams: Returns a lexicon for Arabic.
lex - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Returns a ChineseLexicon
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
lex - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
lex - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams: returns an ordinary Lexicon (could be tuned for German!)
lex(Options, Index<String>, Index<String>) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Vends a Lexicon object suitable to the particular language/treebank combination of interest.
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
LexedTokenFactory<T> - Interface in edu.stanford.nlp.process: Constructs a token (of arbitrary type) from a String and its position in the underlying text.
Lexer - Interface in edu.stanford.nlp.io: A Lexer interface to be used with LexerTokenizer.
lexerProperties - Variable in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
lexerProperties - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
LexerTokenizer - Class in edu.stanford.nlp.process: An implementation of Tokenizer designed to work with Lexer implementing classes.
LexerTokenizer(Lexer) - Constructor for class edu.stanford.nlp.process.LexerTokenizer
LexerTokenizer(Lexer, Reader) - Constructor for class edu.stanford.nlp.process.LexerTokenizer
lexicalize(Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees: Returns a lexicalized Tree whose Labels are CategoryWordTag instances, all corresponds to the input tree.
LexicalizedParser - Class in edu.stanford.nlp.parser.lexparser: This class provides the top-level API and command-line interface to a set of reasonably good treebank-trained parsers.
LexicalizedParser(Lexicon, BinaryGrammar, UnaryGrammar, DependencyGrammar, Index<String>, Index<String>, Index<String>, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.LexicalizedParser
LexicalizedParserClient - Class in edu.stanford.nlp.parser.server: The sister class to LexicalizedParserServer.
LexicalizedParserClient(String, int) - Constructor for class edu.stanford.nlp.parser.server.LexicalizedParserClient
lexicalizedParserQuery() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
LexicalizedParserQuery - Class in edu.stanford.nlp.parser.lexparser
LexicalizedParserServer - Class in edu.stanford.nlp.parser.server: Serves requests to the given parser model on the given port.
LexicalizedParserServer(int, String) - Constructor for class edu.stanford.nlp.parser.server.LexicalizedParserServer
LexicalizedParserServer(int, String, LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.server.LexicalizedParserServer
Lexicon - Interface in edu.stanford.nlp.parser.lexparser: An interface for lexicons interfacing to lexparser.
lexMapOptions - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
lexMapper - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
lexOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
lgamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
linearCombination(Counter<E>, double, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Returns a Counter which is a weighted average of c1 and c2.
LinearGrammarSmoother - Class in edu.stanford.nlp.parser.lexparser: Implements linear rule smoothing a la Petrov et al.
LinearGrammarSmoother(TrainOptions, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother
lineCount(File) - Static method in class edu.stanford.nlp.io.IOUtils
LineIterator<X> - Class in edu.stanford.nlp.objectbank: An Iterator that returns a line of a file at a time.
LineIterator(Reader) - Constructor for class edu.stanford.nlp.objectbank.LineIterator
LineIterator(Reader, Function<String, X>) - Constructor for class edu.stanford.nlp.objectbank.LineIterator
LineIterator.LineIteratorFactory<X> - Class in edu.stanford.nlp.objectbank
LineIterator.LineIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
LineIterator.LineIteratorFactory(Function<String, X>) - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
linesFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns the contents of a file as a list of strings.
linesFromFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns the contents of a file as a list of strings.
LINKED_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
linkedHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory: Return a MapFactory that returns an LinkedHashMap.
linkedListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
listen() - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer: Runs in a loop, getting requests from new clients until a client tells us to exit.
listIterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
listIterator(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
listOfLanguages() - Static method in class edu.stanford.nlp.international.Languages
ListProcessor<IN,OUT> - Interface in edu.stanford.nlp.process: An interface for things that operate on a List.
listToEvents(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
listToString(List<T>) - Static method in class edu.stanford.nlp.ling.Sentence: Returns the sentence as a string with a space between words.
listToString(List<T>, boolean) - Static method in class edu.stanford.nlp.ling.Sentence: Returns the sentence as a string with a space between words.
listToString(List<T>, boolean, String) - Static method in class edu.stanford.nlp.ling.Sentence: As already described, but if separator is not null, then objects such as TaggedWord
lm - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
load(Reader) - Method in class edu.stanford.nlp.trees.MemoryTreebank: Load a collection of parse trees from a Reader.
load(Reader, String) - Method in class edu.stanford.nlp.trees.MemoryTreebank: Load a collection of parse trees from a Reader.
load2DCounter(String, Class<T1>, Class<T2>) - Static method in class edu.stanford.nlp.stats.Counters
load2DMatrixFromFile(String) - Static method in class edu.stanford.nlp.math.ArrayMath
loadByReflection(String, Object...) - Static method in class edu.stanford.nlp.util.ReflectionLoading: You can use this as follows:
String s = ReflectionLoading.loadByReflection("java.lang.String", "foo");
String s = ReflectionLoading.loadByReflection("java.lang.String");
Note that this uses generics for convenience, but this does nothing for compile-time error checking.
loadCollection(String, Class<T>, CollectionFactory<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
loadCollection(File, Class<T>, CollectionFactory<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
loadCollection(String, Class<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Adds the items from the file to the collection.
loadCollection(File, Class<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Adds the items from the file to the collection.
loadCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters: Loads a Counter from a text file.
loadFile() - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Opens dialog to load a text data file
loadFile(String) - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Loads a text or html file from a file path or URL.
loadFromFilename(String) - Static method in class edu.stanford.nlp.util.HashIndex: This assumes each line is of the form (number=value) and it adds each value in order of the lines in the file
loadFromFileWithList(String) - Static method in class edu.stanford.nlp.util.HashIndex: This assumes each line is one value and creates index by adding values in the order of the lines in the file
loadFromReader(BufferedReader) - Static method in class edu.stanford.nlp.util.HashIndex: This is the analogue of loadFromFilename, and is intended to be included in a routine that unpacks a text-serialized form of an object that incorporates an Index.
loadIncInto2DCounter(String, Class<T1>, Class<T2>, TwoDimensionalCounterInterface<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
loadIntCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters: Loads a Counter from a text file.
loadInto2DCounter(String, Class<T1>, Class<T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
loadJarParser(String, String) - Method in class edu.stanford.nlp.parser.ui.ParserPanel
loadModel(String, String[]) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
loadModel() - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Construct a new LexicalizedParser object from a previously serialized grammar read from a System property edu.stanford.nlp.SerializedLexicalizedParser, or a default classpath location (edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz).
loadModel(Options, String...) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Construct a new LexicalizedParser object from a previously serialized grammar read from a System property edu.stanford.nlp.SerializedLexicalizedParser, or a default classpath location (edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz).
loadModel(String, String...) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
loadModel(String, Options, String...) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Construct a new LexicalizedParser.
loadModel(ObjectInputStream) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Reads one object from the given ObjectInputStream, which is assumed to be a LexicalizedParser.
loadModelFromZip(String, String) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
loadParser() - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Opens dialog to load a serialized parser
loadParser(String) - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Loads a serialized parser specified by given path
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.CompositeTreebank
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.DiskTreebank: Load trees from given directory.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.FilteringTreebank: Load trees from given path specification.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.MemoryTreebank: Load trees from given directory.
loadPath(String, FileFilter, String) - Method in class edu.stanford.nlp.trees.MemoryTreebank
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.TransformingTreebank: Load trees from given path specification.
loadPath(String) - Method in class edu.stanford.nlp.trees.Treebank: Load a sequence of trees from given directory and its subdirectories.
loadPath(File) - Method in class edu.stanford.nlp.trees.Treebank: Load a sequence of trees from given file or directory and its subdirectories.
loadPath(String, String, boolean) - Method in class edu.stanford.nlp.trees.Treebank: Load trees from given directory.
loadPath(File, String, boolean) - Method in class edu.stanford.nlp.trees.Treebank: Load trees from given directory.
loadPath(String, FileFilter) - Method in class edu.stanford.nlp.trees.Treebank: Load a sequence of trees from given directory and its subdirectories which match the file filter.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.Treebank: Load trees from given path specification.
loadSegmenter(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
loadSegmenter(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
loadSegmenter(String) - Method in interface edu.stanford.nlp.process.WordSegmenter
localize(Tree) - Static method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
localTree() - Method in class edu.stanford.nlp.trees.Tree: Returns a new Tree that represents the local Tree at a certain node.
localTreeAsCatList(Tree) - Static method in class edu.stanford.nlp.trees.Trees: returns the syntactic category of the tree as a list of the syntactic categories of the mother and the daughters
localTrees() - Method in class edu.stanford.nlp.trees.Tree: Returns a set of one level Trees that ares the local trees of the tree.
lock() - Method in class edu.stanford.nlp.util.DeltaIndex
lock() - Method in class edu.stanford.nlp.util.HashIndex: Locks the Index.
lock() - Method in interface edu.stanford.nlp.util.Index: Locks the Index.
log(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
log(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath: Convenience method for log to a different base
log(Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger: Pretty log an object.
log(String, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger: Pretty log an object along with its description.
log(Redwood.RedwoodChannels, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger: Pretty log an object.
log(Redwood.RedwoodChannels, String, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger: Pretty log an object.
log(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood: Log a message.
log(Object) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels: Log a message to the channels specified in this RedwoodChannels object.
log(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
logAdd(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns the log of the sum of two numbers, which are themselves input in log form.
logAdd(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns the log of the sum of two numbers, which are themselves input in log form.
logf(String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood: The Redwood equivalent to printf().
logf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels: Log a printf-style formatted message to the channels specified in this RedwoodChannels object.
logf(String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
logger - Variable in class edu.stanford.nlp.util.logging.RedirectOutputHandler
loggingClass(String) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Set a Java classname path to ignore when printing stack traces
loggingClass(Class<?>) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Set a Java class to ignore when printing stack traces
loggingMethod - Variable in class edu.stanford.nlp.util.logging.RedirectOutputHandler
logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter: Increments the count stored in log space for this key by the given log-transformed value.
logIncrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter: Increments the count stored in log space for this key by the given log-transformed value.
logInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
logInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
logNormalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Makes the values in this array sum to 1.0.
logNormalizeInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Transform log space values into a probability distribution in place.
logProbabilityOf(E) - Method in class edu.stanford.nlp.stats.Distribution: Returns the natural logarithm of the object's probability
logProbabilityOf(E) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
LogRecordHandler - Class in edu.stanford.nlp.util.logging: A log message handler.
LogRecordHandler() - Constructor for class edu.stanford.nlp.util.logging.LogRecordHandler
logSum(double...) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the log of the sum of an array of numbers, which are themselves input in log form.
logSum(double[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the log of the portion between fromIndex, inclusive, and toIndex, exclusive, of an array of numbers, which are themselves input in log form.
logSum(double[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the log of the portion between fromIndex, inclusive, and toIndex, exclusive, of an array of numbers, which are themselves input in log form.
logSum(List<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
logSum(List<Double>, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
logSum(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the log of the sum of an array of numbers, which are themselves input in log form.
logSum(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns ArrayMath.logSum of the values in this counter.
longestCommonContiguousSubstring(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Computes the longest common contiguous substring of s and t.
longestCommonSubstring(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Computes the longest common substring of s and t.
longValue() - Method in class edu.stanford.nlp.util.MutableDouble
longValue() - Method in class edu.stanford.nlp.util.MutableInteger
lookingAt(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Say whether this regular expression can be found at the beginning of this String.
lookupShaper(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier: Look up a shaper by a short String name.
LowercaseFunction - Class in edu.stanford.nlp.util
LowercaseFunction() - Constructor for class edu.stanford.nlp.util.LowercaseFunction
lowercaseWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Whether or not to lowercase word vectors
lowestLevelCounterEntrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns a set of entries, where each key is a read-only List of size one less than the depth of the GeneralizedCounter, and each value is a ClassicCounter.
lr - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser

M

Macros - Class in edu.stanford.nlp.trees.tregex: This defines how to use macros from a file in Tregex.
MAGENTA - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
main(String[]) - Static method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
main(String[]) - Static method in class edu.stanford.nlp.fsm.QuasiDeterminizer
main(String[]) - Static method in class edu.stanford.nlp.fsm.TransducerGraph: For testing only.
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification: For debugging.
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.Buckwalter
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper: This main method preprocesses one-sentence-per-line input, making the same changes as the Function.
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.pipeline.ATBCorrector
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer: A fast, rule-based tokenizer for Modern Standard Arabic (UTF-8 encoding).
main(String[]) - Static method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification: For debugging
main(String[]) - Static method in class edu.stanford.nlp.international.french.pipeline.FTBCorrector
main(String[]) - Static method in class edu.stanford.nlp.international.french.pipeline.MWEPreprocessor
main(String[]) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer: A fast, rule-based tokenizer for Modern Standard French.
main(String[]) - Static method in class edu.stanford.nlp.io.FileSystem: Unit test code
main(String[]) - Static method in class edu.stanford.nlp.io.ui.OpenPageDialog
main(String[]) - Static method in class edu.stanford.nlp.ling.BasicDocument: For internal debugging purposes only.
main(String[]) - Static method in class edu.stanford.nlp.ling.WordLemmaTag
main(String[]) - Static method in class edu.stanford.nlp.math.ArrayMath: For testing only.
main(String[]) - Static method in class edu.stanford.nlp.math.SloppyMath: Tests the hypergeometric distribution code, or other functions provided in this module.
main(String[]) - Static method in class edu.stanford.nlp.objectbank.LineIterator
main(String[]) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
main(String[]) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses: An example of a command line is
java -mx1g edu.stanford.nlp.parser.dvparser.CacheParseHypotheses -model /scr/horatio/dvparser/wsjPCFG.nocompact.simple.ser.gz -output cached9.simple.ser.gz -treebank /afs/ir/data/linguistic-data/Treebank/3/parsed/mrg/wsj 200-202
java -mx4g edu.stanford.nlp.parser.dvparser.CacheParseHypotheses -model ~/scr/dvparser/wsjPCFG.nocompact.simple.ser.gz -output cached.train.simple.ser.gz -treebank /afs/ir/data/linguistic-data/Treebank/3/parsed/mrg/wsj 200-2199 -numThreads 6
java -mx4g edu.stanford.nlp.parser.dvparser.CacheParseHypotheses -model ~/scr/dvparser/chinese/xinhuaPCFG.ser.gz -output cached.xinhua.train.ser.gz -treebank /afs/ir/data/linguistic-data/Chinese-Treebank/6/data/utf8/bracketed 026-270,301-499,600-999
main(String[]) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Provides some testing and opportunities for exploration of the probabilities of a BaseLexicon.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter: This method lets you train and test a segmenter relative to a Treebank.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: For testing: loads a treebank and prints the trees.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.CNFTransformers
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.FactoredParser
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: A main program for using the parser with various options.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats: Calculate parent annotation statistics suitable for doing selective parent splitting in the PCFGParser inside FactoredParser.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats: Calculate sister annotation statistics suitable for doing selective sister splitting in the PCFGParser inside the FactoredParser.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer: Lets you test out the TreeAnnotatorAndBinarizer on the command line.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer: Let's you test out the TreeBinarizer on the command line.
main(String[]) - Static method in class edu.stanford.nlp.parser.metrics.Evalb: Run the Evalb scoring metric on guess/gold input.
main(String[]) - Static method in class edu.stanford.nlp.parser.metrics.LeafAncestorEval: Execute with no arguments for usage.
main(String[]) - Static method in class edu.stanford.nlp.parser.metrics.TaggingEval: Run the scoring metric on guess/gold input.
main(String[]) - Static method in class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval: Run the Evalb scoring metric on guess/gold input.
main(String[]) - Static method in class edu.stanford.nlp.parser.server.LexicalizedParserClient
main(String[]) - Static method in class edu.stanford.nlp.parser.server.LexicalizedParserServer
main(String[]) - Static method in class edu.stanford.nlp.parser.ui.Parser
main(String[]) - Static method in class edu.stanford.nlp.parser.ui.TreeJPanel
main(String[]) - Static method in class edu.stanford.nlp.process.Americanize: Americanize and print the command line arguments.
main(String[]) - Static method in class edu.stanford.nlp.process.DocumentPreprocessor: This provides a simple test method for DocumentPreprocessor.
main(String[]) - Static method in class edu.stanford.nlp.process.LexerTokenizer: for testing only
main(String[]) - Static method in class edu.stanford.nlp.process.Morphology: Run the morphological analyzer.
main(String[]) - Static method in class edu.stanford.nlp.process.PTBEscapingProcessor: This will do the escaping on an input file.
main(String[]) - Static method in class edu.stanford.nlp.process.PTBTokenizer: Reads files given as arguments and print their tokens, by default as one per line.
main(String[]) - Static method in class edu.stanford.nlp.process.StripTagsProcessor: For internal debugging purposes only.
main(String[]) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer: Reads a file from the argument and prints its tokens one per line.
main(String[]) - Static method in class edu.stanford.nlp.process.WordShapeClassifier: Usage: java edu.stanford.nlp.process.WordShapeClassifier [-wordShape name] string+
where name is an argument to lookupShaper.
main(String[]) - Static method in class edu.stanford.nlp.process.WordToTaggedWordProcessor: This will print out some text, recognizing tags.
main(String[]) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFormatter
main(String[]) - Static method in class edu.stanford.nlp.stats.Distribution: For internal testing purposes only.
main(String[]) - Static method in class edu.stanford.nlp.stats.GeneralizedCounter: for testing purposes only
main(String[]) - Static method in class edu.stanford.nlp.stats.SimpleGoodTuring: Like Sampson's SGT program, reads data from STDIN and writes results to STDOUT.
main(String[]) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
main(String[]) - Static method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
main(String[]) - Static method in class edu.stanford.nlp.swing.FontDetector
main(String[]) - Static method in class edu.stanford.nlp.trees.CollinsHeadFinder: Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
main(String[]) - Static method in class edu.stanford.nlp.trees.DependencyScoring
main(String[]) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: Prints out the English grammatical relations hierarchy.
main(String[]) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
main(String[]) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Given sentences or trees, output the typed dependencies.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder: Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.FrenchHeadFinder: Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.FrenchTreeReader: For debugging.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
main(String[]) - Static method in class edu.stanford.nlp.trees.international.negra.NegraPennTokenizer
main(String[]) - Static method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: The main method reads (segmented, whitespace delimited) words from a file and prints them with their English translation(s).
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure: Tests generation of Chinese grammatical relations from a file.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils: Mainly for testing.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer: The main() method tokenizes a file in the specified Encoding and prints it to standard output in the specified Encoding.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap: The main function reads a list of characters and outputs the list with corresponding radicals.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack: Prints a few aspects of the TreebankLanguagePack, just for debugging.
main(String[]) - Static method in class edu.stanford.nlp.trees.MemoryTreebank: Loads treebank grammar from first argument and prints it.
main(String[]) - Static method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Prints a few aspects of the TreebankLanguagePack, just for debugging.
main(String[]) - Static method in class edu.stanford.nlp.trees.PennTreeReader: Loads treebank data from first argument and prints it.
main(String[]) - Static method in class edu.stanford.nlp.trees.QPTreeTransformer
main(String[]) - Static method in class edu.stanford.nlp.trees.TransformingTreebank: Loads treebank grammar from first argument and prints it.
main(String[]) - Static method in class edu.stanford.nlp.trees.treebank.ConfigParser
main(String[]) - Static method in class edu.stanford.nlp.trees.treebank.TreebankPreprocessor: Execute with no arguments for usage.
main(String[]) - Static method in class edu.stanford.nlp.trees.TreeFunctions: This method just tests the functionality of the included transformers.
main(String[]) - Static method in class edu.stanford.nlp.trees.TreeGraph: Just for testing.
main(String[]) - Static method in class edu.stanford.nlp.trees.TreeGraphNode: Just for testing.
main(String[]) - Static method in class edu.stanford.nlp.trees.TreePrint: This provides a simple main method for calling TreePrint.
main(String[]) - Static method in class edu.stanford.nlp.trees.Trees
main(String[]) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern: Prints out all matches of a tree pattern on each tree in the path.
main(String[]) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Usage: java edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon [-s] -treeFile file-with-trees [-po matching-pattern operation] operation-file-1 operation-file-2 ...
main(String[]) - Static method in class edu.stanford.nlp.trees.WordStemmer: Reads, stems, and prints the trees in the file.
main(String[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
main(String[]) - Static method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
main(String[]) - Static method in class edu.stanford.nlp.util.CollectionValuedMap: For testing only.
main(String[]) - Static method in class edu.stanford.nlp.util.ConcatenationIterator
main(String[]) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner: Test method: interns its arguments and says whether they == themselves.
main(String[]) - Static method in class edu.stanford.nlp.util.DeltaMap: For testing only.
main(String[]) - Static method in class edu.stanford.nlp.util.FilteredIterator
main(String[]) - Static method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
main(String[]) - Static method in class edu.stanford.nlp.util.IdentityHashSet: Just for testing.
main(String[]) - Static method in class edu.stanford.nlp.util.Interner: Test method: interns its arguments and says whether they == themselves.
main(String[]) - Static method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor: Simple test case.
main(String[]) - Static method in class edu.stanford.nlp.util.logging.Redwood: Various informal tests of Redwood functionality
main(String[]) - Static method in class edu.stanford.nlp.util.Maps
main(String[]) - Static method in class edu.stanford.nlp.util.Sets
main(String[]) - Static method in class edu.stanford.nlp.util.StringUtils: Tests the string edit distance function.
main(String[]) - Static method in class edu.stanford.nlp.util.XMLUtils: Tests a few methods.
make(String) - Method in class edu.stanford.nlp.trees.treebank.DistributionPackage: Create the distribution and name the file according to the specified parameter.
makeAsciiTable(Object[][], Object[], Object[], int, int, boolean) - Static method in class edu.stanford.nlp.util.StringUtils: Returns a text table containing the matrix of Strings passed in.
makeBlock(Collection) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
makeDependency(Tree, Tree, Tree) - Method in interface edu.stanford.nlp.trees.DependencyTyper: Make a dependency given the Tree that is the head and the dependent, both of which are contained within root.
makeFlatFile - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
makeFromEdges(Iterable<SemanticGraphEdge>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Given a list of edges, attempts to create and return a rooted SemanticGraph.
makeFromGraphs(Collection<SemanticGraph>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Given a list of graphs, constructs a new graph combined from the collection of graphs.
makeFromTree(Tree, boolean, boolean, boolean, boolean, boolean, Filter<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Returns a new SemanticGraph constructed from a given Tree with given options.
makeFromTree(Tree, boolean, boolean, boolean, boolean, boolean, Filter<TypedDependency>, String, int) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Returns a new SemanticGraph constructed from a given Tree with given options.
makeFromTree(GrammaticalStructure, boolean, boolean, boolean, boolean, boolean, boolean, Filter<TypedDependency>, String, int) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
makeFromTree(GrammaticalStructure, String, int) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
makeFromTree(Tree, boolean, boolean, boolean, Filter<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
makeFromTree(Tree, boolean, boolean, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
makeFromTree(GrammaticalStructure, boolean, boolean, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
makeFromTree(Tree, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Returns a new SemanticGraph constructed from the given tree.
makeFromTree(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Returns a new SemanticGraph constructed from the given tree.
makeFromVertices(SemanticGraph, Collection<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Given a set of vertices, and the source graph they are drawn from, create a path composed of the minimum paths between the vertices.
makeHTMLTable(String[][], String[], String[]) - Static method in class edu.stanford.nlp.util.StringUtils: Returns an HTML table containing the matrix of Strings passed in.
makeInitialBlocks() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
makeInitialItem(int, int, int, double) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
makeInitialItems(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
makeList(T...) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns a new List containing the given objects.
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval: Unused.
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.Evalb: evalb only evaluates phrasal categories, thus constituents() does not return objects for terminals and pre-terminals.
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.EvalbByCat
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.FilteredEval
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.TaggingEval
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval: Build the set of dependencies for evaluation.
makePair(X, Y) - Static method in class edu.stanford.nlp.util.Pair: Returns a Pair constructed from X and Y.
makePPTOintoIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Change TO inside PP to IN.
makeToken(String, int, int) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory: Constructs a CoreLabel as a String with a corresponding BEGIN and END position.
makeToken(String, String, int, int) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory: Constructs a CoreLabel as a String with a corresponding BEGIN and END position, when the original OriginalTextAnnotation is different from TextAnnotation (Does not take substring).
makeToken() - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
makeToken(String[], String[]) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
makeToken(CoreLabel) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
makeToken() - Method in interface edu.stanford.nlp.process.CoreTokenFactory
makeToken(String[], String[]) - Method in interface edu.stanford.nlp.process.CoreTokenFactory
makeToken(IN) - Method in interface edu.stanford.nlp.process.CoreTokenFactory
makeToken(String, int, int) - Method in interface edu.stanford.nlp.process.LexedTokenFactory: Constructs a token (of arbitrary type) from a String and its position in the underlying text.
makeToken(String, int, int) - Method in class edu.stanford.nlp.process.WordTokenFactory
makeTriple(X, Y, Z) - Static method in class edu.stanford.nlp.util.Triple: Returns a Triple constructed from X, Y, and Z.
map(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
map(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
map(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.UniversalPOSMapper: First map to the LDC short tags.
map(String, String) - Method in class edu.stanford.nlp.trees.treebank.DefaultMapper
map(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper: Maps from one string representation to another.
map - Variable in class edu.stanford.nlp.util.Interner
mapDependencies(Filter<Dependency<Label, Label, Object>>, HeadFinder) - Method in class edu.stanford.nlp.trees.Tree: Return a set of Label-Label dependencies, represented as Dependency objects, for the Tree.
mapDependencies(Filter<Dependency<Label, Label, Object>>, HeadFinder, String) - Method in class edu.stanford.nlp.trees.Tree: Return a set of Label-Label dependencies, represented as Dependency objects, for the Tree.
MapFactory<K,V> - Class in edu.stanford.nlp.util: A factory class for vending different sorts of Maps.
MapFactory() - Constructor for class edu.stanford.nlp.util.MapFactory
Mapper - Interface in edu.stanford.nlp.trees.treebank: Generic interface for mapping one string to another given some contextual evidence.
mapping - Variable in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
Maps - Class in edu.stanford.nlp.util: Utilities for Maps, including inverting, composing, and support for list/set values.
Maps() - Constructor for class edu.stanford.nlp.util.Maps
mapStringToArray(String) - Static method in class edu.stanford.nlp.util.StringUtils: Takes a string of the form "x1=y1,x2=y2,..." such that each y is an integer and each x is a key.
mapStringToMap(String) - Static method in class edu.stanford.nlp.util.StringUtils: Takes a string of the form "x1=y1,x2=y2,..." and returns Map
mark(int) - Method in class edu.stanford.nlp.io.ReaderInputStream: Marks the read limit of the StringReader.
markADgrandchildOfIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark ADs that are grandchild of IP.
markCC - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Mark phrases which are conjunctions.
markCC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark phrases which are conjunctions.
markContainedVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
markDitransV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Attempt to record ditransitive verbs.
MARKER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "marker" grammatical relation.
markFinalStates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Whether or not to mark final states in binarized grammar.
markHeadNodes(Tree) - Method in class edu.stanford.nlp.trees.TreePrint
markIPadjsubj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
markIPconj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark IPs that are conjuncts.
markIPsisDEC - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark IPs that are part of prenominal modifiers.
markIPsisterBA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark IPs that are sister of BA.
markIPsisterVVorP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark IP's that are sister of VV or P.
markModifiedNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark left-modified NPs (rightmost NPs with a left-side mod).
markMultiNtag - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark nominal tags that are part of multi-nominal rewrites.
markNPconj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark NPs that are conjuncts.
markNPmodNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark NP modifiers of NPs.
markovFactor - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Whether to do "horizontal Markovization" (as in ACL 2003 paper).
markovOrder - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
markPostverbalP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark P with a left aunt VV, and PP with a left sister VV.
markPostverbalPP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
markPsisterIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark P's that are sister of IP.
markReflexivePRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark reflexive PRP words.
markSupported() - Method in class edu.stanford.nlp.io.ReaderInputStream
markUnary - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Mark all unary nodes specially.
markUnaryTags - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Mark POS tags which are the sole member of their phrasal constituent.
markVPadjunct - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark phrases that are adjuncts of VP (these tend to be locatives/temporals, and have a specific distribution).
markVVsisterIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: mark VVs that are sister of IP (communication & small-clause-taking verbs).
matcher(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern: Get a TregexMatcher for this pattern on this tree.
matches(double, double) - Static method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
matches() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Does the pattern match the tree? It's actually closer to java.util.regex's "lookingAt" in that the root of the tree has to match the root of the pattern but the whole tree does not have to be "accounted for".
matches(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Say whether this regular expression matches this String.
matchesAt(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Rests the matcher and tests if it matches on the tree when rooted at node.
matchMapping - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
matchOutputPath - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
matchPath - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
matchPatternToVertex(String, IndexedWord, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
matchPatternToVertex(String, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
max(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
max(Collection<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
max(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
max(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
max(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the smallest element of the matrix
max(int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath: max() that works on three integers.
max(Collection<Integer>) - Static method in class edu.stanford.nlp.math.SloppyMath
max(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns the greater of two int values.
max(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns the greater of two float values.
max(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns the greater of two double values.
max(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns the value of the maximum entry in this counter.
max() - Method in class edu.stanford.nlp.stats.IntCounter: Finds and returns the largest count in this Counter.
max(E, E) - Static method in class edu.stanford.nlp.util.Interval
MAX_ITEMS - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: The maximum number of edges and hooks combined that the factored parser will build before giving up.
MAX_LEGAL - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
maxBeamSize - Variable in class edu.stanford.nlp.util.Beam
maximalProjection(Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees: returns the maximal projection of head in root given a HeadFinder
maxInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Places the maximum of first and second keys values in the first counter.
maxLen - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
maxLength - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: The maximum sentence length (including punctuation, etc.) to parse.
maxSpanForTags - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: The largest span to consider for word-hood.
maxTrainTimeSeconds - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
maxWaitTimeInMillis() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
maxWaitTimeInMillis() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
maxWaitTimeInMillis() - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
mean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
mean(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns the mean of all the counts (totalCount/size).
median(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: returns a MemoryTreebank appropriate to the treebank source
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Uses a MemoryTreebank with a CHTBTokenizer and a BobChrisTreeNormalizer
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams: Allows you to read in trees from the source you want.
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
memoryTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: returns a MemoryTreebank appropriate to the treebank source
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
MemoryTreebank - Class in edu.stanford.nlp.trees: A MemoryTreebank object stores a corpus of examples with given tree structures in memory (as a List).
MemoryTreebank() - Constructor for class edu.stanford.nlp.trees.MemoryTreebank: Create a new tree bank.
MemoryTreebank(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank: Create a new tree bank, using a specific TreeNormalizer.
MemoryTreebank(String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank: Create a new tree bank, set the encoding for file access
MemoryTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank: Create a new tree bank.
MemoryTreebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank: Create a new tree bank.
MemoryTreebank(List<Tree>, TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank: Create a new tree bank.
MemoryTreebank(int) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank: Create a new Treebank.
MemoryTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank: Create a new tree bank.
merge(HTKLatticeReader.LatticeWord) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
mergeList(List<? extends T>, Collection<M>, Function<M, Interval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
mergeList(List<? extends T>, List<? extends HasInterval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
mergeListWithSortedMatched(List<? extends T>, List<? extends HasInterval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
mergeListWithSortedMatchedPreAggregated(List<? extends T>, List<? extends T>, Function<T, Interval<Integer>>) - Static method in class edu.stanford.nlp.util.CollectionUtils
mergeNNVV - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: merge NN and VV.
mergeStates() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
mergeTransitions(Tree, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>, double[], Map<String, int[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor: Given a tree and the original set of transition probabilities from one state to the next in the tree, along with a list of the weights in the tree and a count of the mass in each substate at the current node, this method merges the probabilities as necessary.
mergeType - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
message(int) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
message(int) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
message(int) - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
MetaClass - Class in edu.stanford.nlp.util: A meta class using Java's reflection library.
MetaClass(String) - Constructor for class edu.stanford.nlp.util.MetaClass: Creates a new MetaClass producing objects of the given type
MetaClass(Class<?>) - Constructor for class edu.stanford.nlp.util.MetaClass: Creates a new MetaClass producing objects of the given type
MetaClass.ClassCreationException - Exception in edu.stanford.nlp.util
MetaClass.ClassFactory<T> - Class in edu.stanford.nlp.util
MetaClass.ConstructorNotFoundException - Exception in edu.stanford.nlp.util
mf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
MID_DOT_REGEX_STR - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
min(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
min(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
min(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
min(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the smallest element of the matrix
min(int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns the minimum of three int values.
min(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns the smaller of two float values.
min(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns the smaller of two double values.
min(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns the value of the smallest entry in this counter.
min() - Method in class edu.stanford.nlp.stats.IntCounter: Finds and returns the smallest count in this Counter.
min() - Method in class edu.stanford.nlp.util.ArrayHeap: Finds the object with the minimum key and returns it, without modifying the heap.
min() - Method in interface edu.stanford.nlp.util.Heap: Returns the minimum Object in this heap.
min(E, E) - Static method in class edu.stanford.nlp.util.Interval
MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
MIN_PROBABILITY - Static variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
minimize() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
minimize(T, double, double[]) - Method in interface edu.stanford.nlp.optimization.Minimizer: Attempts to find an unconstrained minimum of the objective function starting at initial, within functionTolerance.
minimize(T, double, double[], int) - Method in interface edu.stanford.nlp.optimization.Minimizer
minimize(DiffFloatFunction, float, float[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
minimize(DiffFunction, double, double[], int, QNMinimizer.QNInfo) - Method in class edu.stanford.nlp.optimization.QNMinimizer
minimizeFA(TransducerGraph) - Method in interface edu.stanford.nlp.fsm.AutomatonMinimizer
minimizeFA(TransducerGraph) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
Minimizer<T extends Function> - Interface in edu.stanford.nlp.optimization: The interface for unconstrained function minimizers.
minInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Places the minimum of first and second keys values in the first counter.
minLineCountForTrackNameReminder - Variable in class edu.stanford.nlp.util.logging.OutputHandler: Number of lines above which the closing brace of a track shows the name of the track
MISSING_PHRASAL - Static variable in class edu.stanford.nlp.trees.international.french.FrenchTreeReader
MISSING_POS - Static variable in class edu.stanford.nlp.trees.international.french.FrenchTreeReader
mkdirOrFail(String) - Static method in class edu.stanford.nlp.io.FileSystem: Make the given directory or throw a RuntimeException
mkdirOrFail(File) - Static method in class edu.stanford.nlp.io.FileSystem: Make the given directory or throw a RuntimeException
mkT2DArray(Class<?>, int[]) - Static method in class edu.stanford.nlp.util.ErasureUtils
mkTArray(Class<?>, int) - Static method in class edu.stanford.nlp.util.ErasureUtils: Makes an array based on klass, but casts it to be of type T[].
MLEDependencyGrammar - Class in edu.stanford.nlp.parser.lexparser
MLEDependencyGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
MLEDependencyGrammar(TagProjection, TreebankLangParserParams, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
MLEDependencyGrammarExtractor - Class in edu.stanford.nlp.parser.lexparser: Gathers statistics on tree dependencies and then passes them to an MLEDependencyGrammar for dependency grammar construction.
MLEDependencyGrammarExtractor(Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
MLEDependencyGrammarSmoothingParams() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Give the parameters for smoothing in the MLEDependencyGrammar.
MLEDependencyGrammarSmoothingParams() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
MLEDependencyGrammarSmoothingParams() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Give the parameters for smoothing in the MLEDependencyGrammar.
MODAL_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "modal" grammatical relation.
ModCollinsHeadFinder - Class in edu.stanford.nlp.trees: Implements a variant on the HeadFinder found in Michael Collins' 1999 thesis.
ModCollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.ModCollinsHeadFinder
ModCollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.ModCollinsHeadFinder
mode(Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns the mode in the Collection.
modes(Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns a list of all modes in the Collection.
MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "modifier" grammatical relation.
MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "modifier" grammatical relation.
monitorX(double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
morphBoundary - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
morphDelim - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
morphFeatureSpec() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a morphological feature specification for words in this language.
morphFeatureSpec() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
morphFeatureSpec() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
morphFeatureSpec() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: The morphological feature specification for the language.
morphId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
MORPHO_MARK - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
MorphoFeatures - Class in edu.stanford.nlp.international.morph: Holds a set of morphosyntactic features for a given surface form.
MorphoFeatures() - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatures
MorphoFeatures(MorphoFeatures) - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatures
MorphoFeatureSpecification - Class in edu.stanford.nlp.international.morph: Morphological feature specification for surface forms in a given language.
MorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
MorphoFeatureSpecification.MorphoFeatureType - Enum in edu.stanford.nlp.international.morph
Morphology - Class in edu.stanford.nlp.process: Morphology computes the base form of English words, by removing just inflections (not derivational morphology).
Morphology() - Constructor for class edu.stanford.nlp.process.Morphology
Morphology(Reader) - Constructor for class edu.stanford.nlp.process.Morphology: Process morphologically words from a Reader.
Morphology(Reader, int) - Constructor for class edu.stanford.nlp.process.Morphology
MULTI_WORD_EXPRESSION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "multi-word expression" grammatical relation.
MulticoreWrapper<I,O> - Class in edu.stanford.nlp.util.concurrent: Provides convenient multicore processing for threadsafe objects.
MulticoreWrapper(int, ThreadsafeProcessor<I, O>) - Constructor for class edu.stanford.nlp.util.concurrent.MulticoreWrapper: Constructor.
MulticoreWrapper(int, ThreadsafeProcessor<I, O>, boolean) - Constructor for class edu.stanford.nlp.util.concurrent.MulticoreWrapper: Constructor.
multiply(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Scales the values in this array by c.
multiply(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath: Scales the values in this array by c.
multiplyInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Scales the values in this array by b.
multiplyInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Scales the values in this array by b.
multiplyInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Multiplies each value in target by the given multiplier, in place.
multiplyInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Multiplies each value in target by the count of the key in mult, in place.
multiplyInto(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
MutableDouble - Class in edu.stanford.nlp.util: A class for Double objects that you can change.
MutableDouble() - Constructor for class edu.stanford.nlp.util.MutableDouble
MutableDouble(double) - Constructor for class edu.stanford.nlp.util.MutableDouble
MutableDouble(Number) - Constructor for class edu.stanford.nlp.util.MutableDouble
MutableInteger - Class in edu.stanford.nlp.util: A class for Integer objects that you can change.
MutableInteger() - Constructor for class edu.stanford.nlp.util.MutableInteger
MutableInteger(int) - Constructor for class edu.stanford.nlp.util.MutableInteger
mutex - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
MWEPreprocessor - Class in edu.stanford.nlp.international.french.pipeline: Various modifications to the MWEs in the treebank.
MWETreeVisitor - Class in edu.stanford.nlp.international.arabic.pipeline: Converts VP < PP-CLR construction to MWV < MWP
MWETreeVisitor() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.MWETreeVisitor
myMaxLength - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser

N

name() - Method in interface edu.stanford.nlp.trees.Dependency: Names the type of dependency (subject, instrument, ...).
name() - Method in class edu.stanford.nlp.trees.NamedDependency
name() - Method in class edu.stanford.nlp.trees.UnnamedDependency
name - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
NamedDependency - Class in edu.stanford.nlp.trees: An individual dependency between a head and a dependent.
NamedDependency(String, String, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
NamedDependency(Label, Label, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
narrowLExtent - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
narrowRExtent - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
nChooseK(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Computes n choose k in an efficient way.
neatExit() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Close tracks when the JVM shuts down.
NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "negation modifier" grammatical relation.
NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "negative modifier" grammatical relation.
NegraHeadFinder - Class in edu.stanford.nlp.trees.international.negra: HeadFinder for the Negra Treebank.
NegraHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
NegraHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
NegraLabel - Class in edu.stanford.nlp.trees.international.negra
NegraLabel(String) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
NegraLabel(String, Map<String, String>) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
NegraLabel(String, String, Map<String, String>) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
NegraPennLanguagePack - Class in edu.stanford.nlp.trees.international.negra: Language pack for Negra and Tiger treebanks after conversion to PTB format.
NegraPennLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Gives a handle to the TreebankLanguagePack
NegraPennLanguagePack(boolean, char) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Make a new language pack with grammatical functions used based on the value of leaveGF and marked with the character gfChar.
NegraPennTokenizer - Class in edu.stanford.nlp.trees.international.negra: Produces a tokenizer for the NEGRA corpus in context-free Penn Treebank format.
NegraPennTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTokenizer
NegraPennTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: Parameter file for parsing the Penn Treebank format of the Negra Treebank (German).
NegraPennTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
NegraPennTreeNormalizer - Class in edu.stanford.nlp.trees.international.negra: Tree normalizer for Negra Penn Treebank format.
NegraPennTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
NegraPennTreeNormalizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
NegraPennTreeNormalizer(TreebankLanguagePack, int) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
NegraPennTreeReaderFactory - Class in edu.stanford.nlp.trees.international.negra: A TreeReaderFactory for the Negra and Tiger treebanks in their Penn Treebank compatible export format.
NegraPennTreeReaderFactory(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
NegraPennTreeReaderFactory(int, boolean, boolean, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
negraSemanticHeadFinder() - Static method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder: Vends a "semantic" NegraHeadFinder---one that disprefers modal/auxiliary verbs as the heads of S or VP.
ner() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the named entity class of the label (or null if none).
NESTED_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
newArabicTokenizer(Reader, Properties) - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
newArrayList() - Static method in class edu.stanford.nlp.util.Generics
newArrayList(int) - Static method in class edu.stanford.nlp.util.Generics
newArrayList(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
newBinaryHeapPriorityQueue() - Static method in class edu.stanford.nlp.util.Generics
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
newConcurrentHashMap() - Static method in class edu.stanford.nlp.util.Generics
newConcurrentHashMap(int) - Static method in class edu.stanford.nlp.util.Generics
newConcurrentHashMap(int, float, int) - Static method in class edu.stanford.nlp.util.Generics
newConstituent(int, int) - Method in interface edu.stanford.nlp.trees.ConstituentFactory: Build a constituent with this start and end.
newConstituent(int, int, Label, double) - Method in interface edu.stanford.nlp.trees.ConstituentFactory: Build a constituent with this start and end.
newConstituent(int, int) - Method in class edu.stanford.nlp.trees.LabeledScoredConstituentFactory
newConstituent(int, int, Label, double) - Method in class edu.stanford.nlp.trees.LabeledScoredConstituentFactory
newConstituent(int, int) - Method in class edu.stanford.nlp.trees.SimpleConstituentFactory
newConstituent(int, int, Label, double) - Method in class edu.stanford.nlp.trees.SimpleConstituentFactory
newCoreLabelTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory: Constructs a new PTBTokenizer that returns CoreLabel objects and uses the options passed in.
newCoreLabelTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
newCoreLabelTokenizerFactory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
newCoreLabelWhitespaceTokenizer(Reader) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
newCoreLabelWhitespaceTokenizer(Reader, boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
newDependency(Label, Label) - Method in interface edu.stanford.nlp.trees.DependencyFactory
newDependency(Label, Label, Object) - Method in interface edu.stanford.nlp.trees.DependencyFactory
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
newFrenchTokenizer(Reader, Properties) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
newGrammaticalStructure(Tree) - Method in interface edu.stanford.nlp.trees.GrammaticalStructureFactory: Vend a new GrammaticalStructure based on the given Tree.
newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
newHashMap() - Static method in class edu.stanford.nlp.util.Generics
newHashMap(int) - Static method in class edu.stanford.nlp.util.Generics
newHashMap(Map<? extends K, ? extends V>) - Static method in class edu.stanford.nlp.util.Generics
newHashSet() - Static method in class edu.stanford.nlp.util.Generics
newHashSet(int) - Static method in class edu.stanford.nlp.util.Generics
newHashSet(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
newIdentityHashMap() - Static method in class edu.stanford.nlp.util.Generics
newIndex() - Static method in class edu.stanford.nlp.util.Generics
newInstance() - Method in interface edu.stanford.nlp.util.concurrent.ThreadsafeProcessor: Return a new threadsafe instance.
newInstanceStringEquality(List<Collection<TypedDependency>>, boolean) - Static method in class edu.stanford.nlp.trees.DependencyScoring
newInterner() - Static method in class edu.stanford.nlp.util.Generics
newLabel(String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory: Make a new label with this String as the "name".
newLabel(String, int) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory: Make a new label with this String as the value.
newLabel(String, String, String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory: Create a new CategoryWordTag label, where the label is formed from the various String objects passed in.
newLabel(Label) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory: Create a new CategoryWordTag Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in interface edu.stanford.nlp.ling.LabelFactory: Make a new label with this String as the value.
newLabel(String, int) - Method in interface edu.stanford.nlp.ling.LabelFactory: Make a new label with this String as the value, and the type determined in an implementation-dependent way from the options value.
newLabel(Label) - Method in interface edu.stanford.nlp.ling.LabelFactory: Create a new Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.StringLabelFactory: Make a new label with this String as the "name".
newLabel(String, int) - Method in class edu.stanford.nlp.ling.StringLabelFactory: Make a new label with this String as the "name".
newLabel(Label) - Method in class edu.stanford.nlp.ling.StringLabelFactory: Create a new StringLabel, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.TaggedWordFactory: Make a new label with this String as the value (word).
newLabel(String, int) - Method in class edu.stanford.nlp.ling.TaggedWordFactory: Make a new label with this String as a value component.
newLabel(Label) - Method in class edu.stanford.nlp.ling.TaggedWordFactory: Create a new TaggedWord Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.WordFactory: Create a new word, where the label is formed from the String passed in.
newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordFactory: Create a new word, where the label is formed from the String passed in.
newLabel(Label) - Method in class edu.stanford.nlp.ling.WordFactory: Create a new Word Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory: Make a new label with this String as the value (word).
newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory: Make a new label with this String as a value component.
newLabel(Label) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory: Create a new WordLemmaTag Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.WordTagFactory: Make a new label with this String as the value (word).
newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordTagFactory: Make a new label with this String as a value component.
newLabel(Label) - Method in class edu.stanford.nlp.ling.WordTagFactory: Create a new WordTag Label, where the label is formed from the Label object passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory: Make a new label with this String as the "name".
newLabelFromString(String) - Method in interface edu.stanford.nlp.ling.LabelFactory: Make a new label.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.StringLabelFactory: Make a new label with this String as the "name".
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.TaggedWordFactory: Create a new word, where the label is formed from the String passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordFactory: Create a new word, where the label is formed from the String passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory: Create a new word, where the label is formed from the String passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordTagFactory: Create a new word, where the label is formed from the String passed in.
newLeaf(String) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
newLeaf(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory: Create a new leaf node with the given label
newLeaf(String) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
newLeaf(Label) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
newLeaf(String) - Method in interface edu.stanford.nlp.trees.TreeFactory: Create a new tree leaf node, where the label is formed from the String passed in.
newLeaf(Label) - Method in interface edu.stanford.nlp.trees.TreeFactory: Create a new tree leaf node, with the given label.
newLeaf(String) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
newLeaf(Label) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
newLinkedList() - Static method in class edu.stanford.nlp.util.Generics
newLinkedList(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
newMap() - Method in class edu.stanford.nlp.util.MapFactory: Returns a new non-parameterized map of a particular sort.
newMap(int) - Method in class edu.stanford.nlp.util.MapFactory: Returns a new non-parameterized map of a particular sort with an initial capacity.
newPair(T1, T2) - Static method in class edu.stanford.nlp.util.Generics
newPTBTokenizer(Reader) - Static method in class edu.stanford.nlp.process.PTBTokenizer: Constructs a new PTBTokenizer that returns Word tokens and which treats carriage returns as normal whitespace.
newPTBTokenizer(Reader, boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer: Constructs a new PTBTokenizer that makes CoreLabel tokens.
newPTBTokenizerFactory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory: Constructs a new PTBTokenizer that uses the LexedTokenFactory and options passed in.
newPTBTokenizerFactory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
newStack() - Static method in class edu.stanford.nlp.util.Generics
newStateIndex - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
newSynchronizedInterner(Interner<T>) - Static method in class edu.stanford.nlp.util.Generics
newSynchronizedInterner(Interner<T>, Object) - Static method in class edu.stanford.nlp.util.Generics
newTokenizerFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
newTokenizerFactory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
newTokenizerFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory: Constructs a new TokenizerFactory that returns Word objects and treats carriage returns as normal whitespace.
newTokenizerFactory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory: Constructs a new TokenizerFactory that returns Word objects and treats carriage returns as normal whitespace.
newTreeMap() - Static method in class edu.stanford.nlp.util.Generics
newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory: Create a new non-leaf tree node with the given label
newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
newTreeNode(String, List<Tree>) - Method in interface edu.stanford.nlp.trees.TreeFactory: Create a new tree non-leaf node, where the label is formed from the String passed in.
newTreeNode(Label, List<Tree>) - Method in interface edu.stanford.nlp.trees.TreeFactory: Create a new tree non-leaf node, with the given label.
newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeReaderFactory
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory: Create a new TreeReader using the provided Reader.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZTreeReaderFactory
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory: An implementation of the TreeReaderFactory interface.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.PennTreeReaderFactory
newTreeReader(Reader) - Method in interface edu.stanford.nlp.trees.TreeReaderFactory: Create a new TreeReader using the provided Reader.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
newTreeSet() - Static method in class edu.stanford.nlp.util.Generics
newTreeSet(Comparator<? super E>) - Static method in class edu.stanford.nlp.util.Generics
newTreeSet(SortedSet<E>) - Static method in class edu.stanford.nlp.util.Generics
newTriple(T1, T2, T3) - Static method in class edu.stanford.nlp.util.Generics
newWeakHashMap() - Static method in class edu.stanford.nlp.util.Generics
newWeakReference(T) - Static method in class edu.stanford.nlp.util.Generics
newWordTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory: Constructs a new PTBTokenizer that returns Word objects and uses the options passed in.
newWordWhitespaceTokenizer(Reader) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
newWordWhitespaceTokenizer(Reader, boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
next() - Method in class edu.stanford.nlp.objectbank.LineIterator
next() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
next() - Method in class edu.stanford.nlp.process.AbstractTokenizer: Returns the next token from this Tokenizer.
next() - Method in class edu.stanford.nlp.process.Morphology
next() - Method in interface edu.stanford.nlp.process.Tokenizer: Returns the next token from this Tokenizer.
next() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
next() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
next() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
next() - Method in class edu.stanford.nlp.util.AbstractIterator
next() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
next() - Method in class edu.stanford.nlp.util.ConcatenationIterator
next() - Method in class edu.stanford.nlp.util.FilteredIterator
next() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Returns the element in the queue with highest priority, and pops it from the queue.
nextToken - Variable in class edu.stanford.nlp.process.AbstractTokenizer
nGoodTrees - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
NO_ANALYSIS - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
NO_WORD - Static variable in class edu.stanford.nlp.ling.IndexedWord: The identifier that points to no word.
nodeArity() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
nodeCenter - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
nodeCreated() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
nodeNumber(Tree) - Method in class edu.stanford.nlp.trees.Tree: Calculates the node's number, defined as the number of nodes traversed in a left-to-right, depth-first search of the tree starting at root and ending at this.
nodePrune - Variable in class edu.stanford.nlp.parser.lexparser.Options: If true, inside the factored parser, remove any node from the final chosen tree which improves the PCFG score.
nodeString() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
nodeString() - Method in class edu.stanford.nlp.trees.Tree: Returns the value of the nodes label as a String.
nodeTab - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
nodeToString(Tree) - Static method in class edu.stanford.nlp.parser.ui.TreeJPanel
noFunctionalForcing - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Only valid with force tags - strips away functionals when forcing the tags, meaning tags have to start appropriately but the parser will assign the functional part.
NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "nominal passive subject" grammatical relation.
NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "npsubj" grammatical relation.
NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "nominal subject" grammatical relation.
NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "nominal subject" grammatical relation.
nonlinearityVectorToDerivative(SimpleMatrix) - Static method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
nonTerminalInfo - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
nonUnaryRootSymbol() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
noop(Object) - Static method in class edu.stanford.nlp.util.ErasureUtils: Does nothing, occasionally used to make Java happy that a value is used
noRebinarization - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When binarizing trees, don't binarize trees with two children.
noRecoveryTagging - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If false, then failure of the PCFG parser to parse a sentence will trigger allowing all tags for words in parse recovery mode, with a log probability of -1000.
norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Computes 2-norm of vector.
norm(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Computes 2-norm of vector.
norm_1(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Computes 1-norm of vector.
norm_1(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Computes 1-norm of vector.
norm_inf(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Computes inf-norm of vector.
norm_inf(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Computes inf-norm of vector.
normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Makes the values in this array sum to 1.0.
normalize(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Makes the values in this array sum to 1.0.
normalize(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Normalizes the target counter in-place, so the sum of the resulting values equals 1.
normalize(TwoDimensionalCounter<E, F>) - Static method in class edu.stanford.nlp.stats.Counters: Normalizes the target counter in-place, so the sum of the resulting values equals 1.
NORMALIZE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
normalize(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
normalize(String, int, int) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
normalize(String, int, int, int) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils: This will normalize a Unicode String in various ways.
normalize(double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
NORMALIZED_LOG_PROBABILITIES - Static variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer: Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.GrammaticalFunctionTreeNormalizer: Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer: Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer: Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer: Normalizes a nonterminal contents (and maybe intern it).
normalizeNumbers(String) - Static method in class edu.stanford.nlp.trees.DependencyScoring: Normalize all number tokens to <num> in order to allow for proper scoring of MSTParser productions.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer: Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer: Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer: Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer: Normalizes a leaf contents (and maybe intern it).
normalizeTree(Tree, TreeNormalizer, TreeFactory) - Static method in class edu.stanford.nlp.trees.Trees
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer: Normalize a whole tree -- one can assume that this is the root.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer: Normalize a whole tree -- one can assume that this is the root.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer: Normalize a whole tree.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer: Normalize a whole tree -- one can assume that this is the root.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.TreeNormalizer: Normalize a whole tree -- this method assumes that the argument that it is passed is the root of a complete Tree.
NoSuchParseException - Exception in edu.stanford.nlp.parser.lexparser
NoSuchParseException() - Constructor for exception edu.stanford.nlp.parser.lexparser.NoSuchParseException
NoSuchParseException(String) - Constructor for exception edu.stanford.nlp.parser.lexparser.NoSuchParseException
noTagSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
notFilter(Filter<E>) - Static method in class edu.stanford.nlp.util.Filters: Filter that does the opposite of given filter (NOT).
NOUN_COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "noun compound modifier" grammatical relation.
NOUN_COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "noun compound modifier" grammatical relation.
nounSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
NOWORDSHAPE - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
NP_ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "noun phrase as adverbial modifier" grammatical relation.
NPTmpRetainingTreeNormalizer - Class in edu.stanford.nlp.trees: Same TreeNormalizer as BobChrisTreeNormalizer, but optionally provides four extras.
NPTmpRetainingTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
NPTmpRetainingTreeNormalizer(int, boolean) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
NPTmpRetainingTreeNormalizer(int, boolean, int, boolean) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
NPTmpRetainingTreeNormalizer(int, boolean, int, boolean, HeadFinder) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer: Create a TreeNormalizer that maintains some functional annotations, particularly those involving temporal annotation.
NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory - Class in edu.stanford.nlp.trees: Implementation of TreeReaderFactory, mainly for convenience of constructing by reflection
NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory
nthIndex(String, char, int) - Static method in class edu.stanford.nlp.util.StringUtils: Returns the index of the nth occurrence of ch in s, or -1 if there are less than n occurrences of ch.
NTHREADS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
nudgeDownArraySize() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
NULL_ITW - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
NULL_ITW - Static variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
NULL_ITW - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
nullFilter - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
nullTag - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
nullTag - Static variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
nullTag - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
nullWord - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
nullWord - Static variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
nullWord - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
num - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
NUM_LANGUAGES - Static variable in class edu.stanford.nlp.swing.FontDetector
numActiveFeatures() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
NUMBER_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "compound number modifier" grammatical relation.
NUMBER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "classifier modifier" grammatical relation.
NumberRangeFileFilter - Class in edu.stanford.nlp.io: Implements a file filter that examines a number in a filename to determine acceptance.
NumberRangeFileFilter(int, int, boolean) - Constructor for class edu.stanford.nlp.io.NumberRangeFileFilter: Sets up a NumberRangeFileFilter by specifying the range of numbers to accept, and whether to also traverse folders for recursive search.
NumberRangesFileFilter - Class in edu.stanford.nlp.io: Implements a file filter that examines a number in a filename to determine acceptance.
NumberRangesFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.NumberRangesFileFilter: Sets up a NumberRangesFileFilter by specifying the ranges of numbers to accept, and whether to also traverse folders for recursive search.
NUMBERS - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
numChildren() - Method in class edu.stanford.nlp.trees.Tree: Says how many children a tree node has in its local tree.
numClosedRules() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
numDistBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
numDistBins() - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "numeric modifier" grammatical relation.
NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "number modifier" grammatical relation.
numExpectedTokens - Variable in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
numFeatureMatches(MorphoFeatures) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
numHid - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions: Number of hidden units in the word vectors.
numRows(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
numRules() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Returns the number of rules (tag rewrites as word) in the Lexicon.
numRules() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
numRules() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon: Returns the number of rules (tag rewrites as word) in the Lexicon.
numRules() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter: Returns the number of rules (tag rewrites as word) in the Lexicon.
numRules() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: Returns the number of rules (tag rewrites as word) in the Lexicon.
numRules() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
numStates - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
numSubArgs(String[], int) - Static method in class edu.stanford.nlp.parser.lexparser.ArgUtils
numTagBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
numTagBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
numTagBins() - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
numToForcePrint() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
numToForcePrint() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
numToForcePrint() - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
numVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
numWordTokens - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar

O

OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "object" grammatical relation.
OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "obj" grammatical relation.
object() - Method in class edu.stanford.nlp.util.ScoredObject
ObjectBank<E> - Class in edu.stanford.nlp.objectbank: The ObjectBank class is designed to make it easy to change the format/source of data read in by other classes and to standardize how data is read in javaNLP classes.
ObjectBank(ReaderIteratorFactory, IteratorFromReaderFactory<E>) - Constructor for class edu.stanford.nlp.objectbank.ObjectBank: This creates a new ObjectBank with the given ReaderIteratorFactory and ObjectIteratorFactory.
ObjectBank.PathToFileFunction - Class in edu.stanford.nlp.objectbank: This is handy for having getLineIterator return a collection of files for feeding into another ObjectBank.
ObjectBank.PathToFileFunction() - Constructor for class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
objectEqualityIndexOf(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees: Returns the index of daughter in parent by ==.
objectIndexOf(Tree) - Method in class edu.stanford.nlp.trees.Tree: Returns the position of a Tree in the children list, if present, or -1 if it is not present.
objects(int[]) - Method in class edu.stanford.nlp.util.DeltaIndex
objects(int[]) - Method in class edu.stanford.nlp.util.HashIndex: Looks up the objects corresponding to an array of indices, and returns them in a Collection.
objects(int[]) - Method in interface edu.stanford.nlp.util.Index: Looks up the objects corresponding to an array of indices, and returns them in a Collection.
objectsList() - Method in class edu.stanford.nlp.util.DeltaIndex
objectsList() - Method in class edu.stanford.nlp.util.HashIndex: Returns a complete List of indexed objects, in the order of their indices.
objectsList() - Method in interface edu.stanford.nlp.util.Index: Returns a complete List of indexed objects, in the order of their indices.
objectToColumnString(Object, String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils: Converts an object into a tab delimited string with given fields Requires the object has public access for the specified fields
OCCURRING_TAGS_ONLY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
occurringTagsOnly() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
ODNUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "ordnumber modifier" grammatical relation.
oFilteredEnd - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
oFilteredStart - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
oldKey - Variable in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
oneDimensionalCounterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns a read-only synchronous view (not a snapshot) of this as a ClassicCounter.
oneTailedFishersExact(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Find a one-tailed Fisher's exact probability.
ONEWHITE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
op - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
op - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
op - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
op - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
op - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
op - Variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
op - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
openClassTypesThreshold - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: A POS tag has to have been attributed to more than this number of word types before it is regarded as an open-class tag.
openFile(File) - Static method in class edu.stanford.nlp.io.IOUtils: Quietly opens a File.
openNodeScope(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
OpenPageDialog - Class in edu.stanford.nlp.io.ui: Simple dialog to ask user for url
OpenPageDialog(Frame, boolean) - Constructor for class edu.stanford.nlp.io.ui.OpenPageDialog: Creates new form OpenPageDialog
oPossible(Hook) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
oPossible(Hook) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
oPossible(Hook) - Method in interface edu.stanford.nlp.parser.lexparser.Scorer
oPossibleByL - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
oPossibleByR - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
oPossibleL(int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
oPossibleR(int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
optimizedDotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: This method does not check entries for NAN or INFINITY values in the doubles returned.
optionArgDefs - Static variable in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
optionArgDefs - Static variable in class edu.stanford.nlp.parser.metrics.TaggingEval
optionArgDefs - Static variable in class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
optionArgDefs - Static variable in class edu.stanford.nlp.trees.treebank.TreebankPreprocessor
Options - Class in edu.stanford.nlp.parser.lexparser: This class contains options to the parser which MUST be the SAME at both training and testing (parsing) time in order for the parser to work properly.
Options() - Constructor for class edu.stanford.nlp.parser.lexparser.Options
Options(TreebankLangParserParams) - Constructor for class edu.stanford.nlp.parser.lexparser.Options
options - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
options - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset: Provides access for sub-classes to the data set parameters
Options.LexOptions - Class in edu.stanford.nlp.parser.lexparser
Options.LexOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.Options.LexOptions
orderByTargetComparator() - Static method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
OrderedCombinationTreeNormalizer - Class in edu.stanford.nlp.trees: This class combines multiple tree normalizers.
OrderedCombinationTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
OrderedCombinationTreeNormalizer(List<TreeNormalizer>) - Constructor for class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
orf - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
orFilter(Filter<E>, Filter<E>) - Static method in class edu.stanford.nlp.util.Filters: Filter that accepts when either filter accepts (OR).
originalLabels - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
originalSentence() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
originalSentence() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
originalSentence() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
originalText - Variable in class edu.stanford.nlp.ling.BasicDocument: original text of this document (may be null).
originalText() - Method in class edu.stanford.nlp.ling.BasicDocument: Returns the text originally used to construct this document, or null if there was no original text.
originalText() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the String which is the original character sequence of the token.
originalText() - Method in interface edu.stanford.nlp.ling.HasContext: Return the String which is the original character sequence of the token.
oScore(Edge) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
oScore - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
oScore(Edge) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
oScore - Variable in class edu.stanford.nlp.parser.lexparser.Item
oScore(Edge) - Method in interface edu.stanford.nlp.parser.lexparser.Scorer
out() - Static method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
outDegree(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
outfile - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
outFileName - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
outFlow(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
outgoingEdgeIterable(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
outgoingEdgeIterable(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
outgoingEdgeIterator(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
outgoingEdgeList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
output - Variable in class edu.stanford.nlp.fsm.TransducerGraph.Arc
OUTPUT_FILE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
OUTPUT_FORMAT - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
OUTPUT_FORMAT_OPTIONS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
outputBetas() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
outputEncoding - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
outputFileList - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
outputFilesDirectory - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If the writeOutputFiles option is true, then output files appear in this directory.
outputFilesExtension - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If the writeOutputFiles option is true, then output files appear with this extension.
outputFilesPrefix - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If the writeOutputFiles option is true, then output files appear with this prefix.
outputFormat - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Determines format of output trees: choose among penn, oneline
outputFormatOptions - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
OutputHandler - Class in edu.stanford.nlp.util.logging: An abstract handler incorporating the logic of outputing a log message, to some source.
OutputHandler() - Constructor for class edu.stanford.nlp.util.logging.OutputHandler
outputkBestEquivocation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If this option is not null, output the k-best equivocation.
outputSpans(Tree) - Static method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
outputToFile - Variable in class edu.stanford.nlp.optimization.QNMinimizer
outputTransitions(Tree, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
outputTransitions(Tree, int, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
outputTreeFormats - Static variable in class edu.stanford.nlp.trees.TreePrint: The legal output tree formats.
outputTreeLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees: Outputs the labels on the trees, not just the words.
outputTreeLabels(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
outputType - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
outsideFactor() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions: If true, declare early -- leave this on except maybe with markov on.
OutsideRuleFilter - Class in edu.stanford.nlp.parser.lexparser
OutsideRuleFilter(BinaryGrammar, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
overlaps(Interval<E>) - Method in class edu.stanford.nlp.util.Interval: Check whether this interval overlaps with the other interval (i.e.

P

PA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: This variable controls doing parent annotation of phrasal nodes.
pad(String, int) - Static method in class edu.stanford.nlp.util.StringUtils: Return a String of length a minimum of totalChars characters by padding the input String str at the right end with spaces.
pad(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils: Pads the toString value of the given Object.
padLeft(String, int, char) - Static method in class edu.stanford.nlp.util.StringUtils: Pads the given String to the left with the given character to ensure that it's at least totalChars long.
padLeft(String, int) - Static method in class edu.stanford.nlp.util.StringUtils: Pads the given String to the left with spaces to ensure that it's at least totalChars long.
padLeft(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
padLeft(int, int) - Static method in class edu.stanford.nlp.util.StringUtils
padLeft(double, int) - Static method in class edu.stanford.nlp.util.StringUtils
padLeftOrTrim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils: Pad or trim so as to produce a string of exactly a certain length.
padOrTrim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils: Pad or trim so as to produce a string of exactly a certain length.
padOrTrim(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils: Pad or trim the toString value of the given Object.
paintComponent(Graphics) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
Pair<T1,T2> - Class in edu.stanford.nlp.util: Pair is a Class for holding mutable pairs of objects.
Pair() - Constructor for class edu.stanford.nlp.util.Pair
Pair(T1, T2) - Constructor for class edu.stanford.nlp.util.Pair
Pair.ByFirstPairComparator<T1,T2> - Class in edu.stanford.nlp.util: Compares a Pair to another Pair according to the first object of the pair only This function will work providing the first element of the Pair is comparable, otherwise will throw a ClassCastException
Pair.ByFirstPairComparator() - Constructor for class edu.stanford.nlp.util.Pair.ByFirstPairComparator
Pair.ByFirstReversePairComparator<T1,T2> - Class in edu.stanford.nlp.util: Compares a Pair to another Pair according to the first object of the pair only in decreasing order This function will work providing the first element of the Pair is comparable, otherwise will throw a ClassCastException
Pair.ByFirstReversePairComparator() - Constructor for class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
Pair.BySecondPairComparator<T1,T2> - Class in edu.stanford.nlp.util: Compares a Pair to another Pair according to the second object of the pair only This function will work providing the first element of the Pair is comparable, otherwise will throw a ClassCastException
Pair.BySecondPairComparator() - Constructor for class edu.stanford.nlp.util.Pair.BySecondPairComparator
Pair.BySecondReversePairComparator<T1,T2> - Class in edu.stanford.nlp.util: Compares a Pair to another Pair according to the second object of the pair only in decreasing order This function will work providing the first element of the Pair is comparable, otherwise will throw a ClassCastException
Pair.BySecondReversePairComparator() - Constructor for class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
pairwiseAdd(int[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
pairwiseAdd(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
pairwiseAdd(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
pairwiseAddInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
pairwiseAddInPlace(double[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
pairwiseAddInPlace(double[], short[]) - Static method in class edu.stanford.nlp.math.ArrayMath
pairwiseMultiply(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Assumes that both arrays have same length.
pairwiseMultiply(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Assumes that both arrays have same length.
pairwiseMultiply(double[], double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Puts the result in the result array.
pairwiseMultiply(float[], float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Puts the result in the result array.
pairwiseScaleAdd(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
pairwiseScaleAddInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
pairwiseSubtract(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
pairwiseSubtract(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
pairwiseSubtractInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
paramAddRoot - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramDistrib - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramDT - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramEncode - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramFileExt - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramFlat - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramLexMapOptions - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramLexMapper - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramMapping - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramMaxLen - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramMorph - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramName - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramNoDashTags - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramOutputPath - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramPath - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramPosMapOptions - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramPosMapper - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramSplit - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramsToVector(double, int, Iterator<SimpleMatrix>...) - Static method in class edu.stanford.nlp.parser.dvparser.DVModel
paramsToVector(int, Iterator<SimpleMatrix>...) - Static method in class edu.stanford.nlp.parser.dvparser.DVModel
paramsToVector(double) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
paramsToVector() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
paramTagDelim - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramTransform - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramType - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
paramUnEscape - Static variable in class edu.stanford.nlp.trees.treebank.ConfigParser
PARATAXIS - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "parataxis" grammatical relation.
parent - Variable in class edu.stanford.nlp.parser.lexparser.BinaryRule
parent() - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
parent() - Method in interface edu.stanford.nlp.parser.lexparser.Rule
parent - Variable in class edu.stanford.nlp.parser.lexparser.UnaryRule
parent() - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
parent() - Method in interface edu.stanford.nlp.trees.HasParent
parent() - Method in class edu.stanford.nlp.trees.Tree: Return the parent of the tree node.
parent(Tree) - Method in class edu.stanford.nlp.trees.Tree: Return the parent of the tree node.
parent - Variable in class edu.stanford.nlp.trees.TreeGraphNode: Parent of this node.
parent() - Method in class edu.stanford.nlp.trees.TreeGraphNode: Get the parent for the current node.
ParentAnnotationStats - Class in edu.stanford.nlp.parser.lexparser: See what parent annotation helps in treebank, based on support and KL divergence.
parentPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a list of pairs of a relation name and the parent IndexedFeatureLabel to which we bear that relation.
parentSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
paRootDtr - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: parent annotate daughter of root.
parse(String) - Method in class edu.stanford.nlp.ling.BasicDocument: Tokenizes the given text to populate the list of words this Document represents.
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Parse a Sentence.
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
parse(HTKLatticeReader) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
parse(Lattice) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Parse a Sentence.
parse(String) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Will parse the text in sentence as if it represented a single sentence by first processing it with a tokenizer.
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Parses the list of HasWord.
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery: Parse a sentence represented as a List of tokens.
parse(List<? extends HasWord>) - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
parse(List<? extends HasWord>) - Method in interface edu.stanford.nlp.parser.lexparser.Scorer
parse(List<? extends HasWord>) - Method in interface edu.stanford.nlp.parser.Parser: Parses the given sentence.
parse() - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Tokenizes the highlighted text (using a tokenizer appropriate for the selected language, and initiates the ParseThread to parse the tokenized text.
parse() - Method in class edu.stanford.nlp.trees.treebank.ConfigParser
parse(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Configure Redwood (from scratch) based on a Properties file.
parse() - Method in class edu.stanford.nlp.util.StringParsingTask: Parses the String associated with this StringParsingTask and returns a object of type E.
parseAndReport(List<? extends HasWord>, PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery: Implements the same parsing with fallback that parse() does, but also outputs status messages for failed parses to pwErr.
parseAndReport(List<? extends HasWord>, PrintWriter) - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
parseAndReport(List<? extends HasWord>, PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
parseCommandLineArguments(String[]) - Static method in class edu.stanford.nlp.util.StringUtils: A simpler form of command line argument parsing.
parseCommandLineArguments(String[], boolean) - Static method in class edu.stanford.nlp.util.StringUtils: A simpler form of command line argument parsing.
parseDocumentText(String) - Method in class edu.stanford.nlp.ling.DocumentReader: Creates a new Document for the given text.
ParseException - Exception in edu.stanford.nlp.trees.tregex: This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException: This constructor is used by the method "generateParseException" in the generated parser.
ParseException() - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException: The following constructors are for use by you for whatever purpose you can think of.
ParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException: Constructor with message.
ParseException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon: This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException: This constructor is used by the method "generateParseException" in the generated parser.
ParseException() - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException: The following constructors are for use by you for whatever purpose you can think of.
ParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException: Constructor with message.
parseFallback() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
parseFallback() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery: The model had to fall back to a simpler model on the previous parse
parseFallback() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery: The model had to fall back to a simpler model on the previous parse
ParseFiles - Class in edu.stanford.nlp.parser.lexparser: Runs the parser over a set of files.
ParseFiles(Options, TreePrint, LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.lexparser.ParseFiles
parseFiles(String[], int, boolean, TokenizerFactory<? extends HasWord>, String, String, Function<List<HasWord>, List<HasWord>>, String) - Method in class edu.stanford.nlp.parser.lexparser.ParseFiles
parseMultiple(List<? extends List<? extends HasWord>>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
parseMultiple(List<? extends List<? extends HasWord>>, int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Will launch multiple threads which calls parse on each of the sentences in order, returning the resulting parse trees in the same order.
parseNoMemory() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
parseNoMemory() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery: The model ran out of memory on the most recent parse
parseNoMemory() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery: The model ran out of memory on the most recent parse
parseOperation(String) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Parses an operation string into a TsurgeonPattern.
Parser - Interface in edu.stanford.nlp.parser: The interface for parser objects.
Parser - Class in edu.stanford.nlp.parser.ui: A simple GUI app for Parsing.
Parser() - Constructor for class edu.stanford.nlp.parser.ui.Parser: Creates a new Parser Frame using Parser.Parser(String, String) with both arguments being null.
Parser(String, String) - Constructor for class edu.stanford.nlp.parser.ui.Parser: Creates new Parser Frame.
ParserAnnotations - Class in edu.stanford.nlp.parser.lexparser: Parse time options for the Stanford lexicalized parser.
ParserAnnotations.CandidatePartOfSpeechAnnotation - Class in edu.stanford.nlp.parser.lexparser: This CoreMap key represents a regular expression which the parser will try to match when assigning tags.
ParserAnnotations.CandidatePartOfSpeechAnnotation() - Constructor for class edu.stanford.nlp.parser.lexparser.ParserAnnotations.CandidatePartOfSpeechAnnotation
ParserAnnotations.ConstraintAnnotation - Class in edu.stanford.nlp.parser.lexparser: The CoreMap key for getting a list of constraints to apply when parsing.
ParserAnnotations.ConstraintAnnotation() - Constructor for class edu.stanford.nlp.parser.lexparser.ParserAnnotations.ConstraintAnnotation
ParserAnnotatorUtils - Class in edu.stanford.nlp.pipeline
ParserConstraint - Class in edu.stanford.nlp.parser.lexparser: A Constraint represents a restriction on possible parse trees to consider.
ParserConstraint() - Constructor for class edu.stanford.nlp.parser.lexparser.ParserConstraint
ParserConstraint(int, int, String) - Constructor for class edu.stanford.nlp.parser.lexparser.ParserConstraint
ParserConstraint(int, int, Pattern) - Constructor for class edu.stanford.nlp.parser.lexparser.ParserConstraint
ParserPanel - Class in edu.stanford.nlp.parser.ui: Provides a simple GUI Panel for Parsing.
ParserPanel() - Constructor for class edu.stanford.nlp.parser.ui.ParserPanel: Creates new form ParserPanel
parserQuery() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
ParserQuery - Interface in edu.stanford.nlp.parser.lexparser
ParserUtils - Class in edu.stanford.nlp.parser.lexparser: Factor out some useful methods more than lexparser module may want
parseSkipped() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
parseSkipped() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery: The sentence was skipped, probably because it was too long or of length 0
parseSkipped() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery: The sentence was skipped, probably because it was too long or of length 0
parseString(String) - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
parseStrings(List<String>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Will process a list of strings into a list of HasWord and return the parse tree associated with that list.
parseSucceeded() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
parseSucceeded() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery: Parsing succeeded without any horrible errors or fallback
parseSucceeded() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery: Parsing succeeded without any horrible errors or fallback
parseTag(String) - Static method in class edu.stanford.nlp.util.XMLUtils
parseTree(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Similar to parse(), but instead of returning an X tree on failure, returns null.
parseUnparsable() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
parseUnparsable() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery: The model could not parse the most recent sentence for some reason
parseUnparsable() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery: The model could not parse the most recent sentence for some reason
parsevalObjectify(Tree, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Takes a Tree and a collinizer and returns a Collection of labeled Constituents for PARSEVAL.
parsevalObjectify(Tree, TreeTransformer, boolean) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Takes a Tree and a collinizer and returns a Collection of Constituents for PARSEVAL evaluation.
PART_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "participial modifier" grammatical relation.
PARTICIPIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "participial modifier" grammatical relation.
partitionIntoFolds(List<T>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils: Split a list into numFolds (roughly) equally sized folds.
path() - Static method in class edu.stanford.nlp.trees.international.pennchinese.CEDict
pathFromRoot(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees: returns list of tree nodes to root from t.
pathNodeToNode(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree: Given nodes t1 and t2 which are dominated by this node, returns a list of all the nodes on the path from t1 to t2, inclusive, or null if none found.
pathNodeToNode(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees: returns a list of categories that is the path from Tree from to Tree to within Tree root.
pathsToData - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
pathsToMappings - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
pattern() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
pcfgThreshold - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If this variable is true, and the sum of the inside and outside score for a constituent is worse than the best known score for a sentence by more than pcfgThresholdValue, then -Inf is returned as the outside Score by oScore() (while otherwise the true outside score is returned).
pcfgThresholdValue - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
pearsonCorrelation(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Direct computation of Pearson product-moment correlation coefficient.
pearsonsCorrelationCoefficient(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
peek() - Method in class edu.stanford.nlp.objectbank.LineIterator
peek() - Method in class edu.stanford.nlp.process.AbstractTokenizer: This is an optional operation, by default supported.
peek() - Method in interface edu.stanford.nlp.process.Tokenizer: Returns the next token, without removing it, from the Tokenizer, so that the same token will be again returned on the next call to next() or peek().
peek() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper: Indicates whether a not a new result is available.
peek() - Method in class edu.stanford.nlp.util.StringParsingTask
peekNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
penaltyType - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: penaltyType should be set as follows: 0: no length penalty 1: quadratic length penalty 2: penalty for continuation chars only TODO: make this an enum
pennPOSToWordnetPOS(String) - Static method in class edu.stanford.nlp.util.StringUtils: Computes the WordNet 2.0 POS tag corresponding to the PTB POS tag s.
pennPrint(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree: Print the tree as done in Penn Treebank merged files.
pennPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree
pennPrint(PrintStream) - Method in class edu.stanford.nlp.trees.Tree: Print the tree as done in Penn Treebank merged files.
pennPrint(PrintStream, boolean) - Method in class edu.stanford.nlp.trees.Tree
pennPrint() - Method in class edu.stanford.nlp.trees.Tree: Print the tree as done in Penn Treebank merged files.
pennString() - Method in class edu.stanford.nlp.trees.Tree: Calls pennPrint() and saves output to a String
PennTreebankLanguagePack - Class in edu.stanford.nlp.trees: Specifies the treebank/language specific components needed for parsing the English Penn Treebank.
PennTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.PennTreebankLanguagePack: Gives a handle to the TreebankLanguagePack
PennTreebankTokenizer - Class in edu.stanford.nlp.trees: Builds a tokenizer for English PennTreebank (release 2) trees.
PennTreebankTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.PennTreebankTokenizer
PennTreeReader - Class in edu.stanford.nlp.trees: This class implements the TreeReader interface to read Penn Treebank-style files.
PennTreeReader(Reader) - Constructor for class edu.stanford.nlp.trees.PennTreeReader: Read parse trees from a Reader.
PennTreeReader(Reader, TreeFactory) - Constructor for class edu.stanford.nlp.trees.PennTreeReader: Read parse trees from a Reader.
PennTreeReader(Reader, TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReader: Read parse trees from a Reader.
PennTreeReader(Reader, TreeFactory, TreeNormalizer, Tokenizer<String>) - Constructor for class edu.stanford.nlp.trees.PennTreeReader: Read parse trees from a Reader.
PennTreeReaderFactory - Class in edu.stanford.nlp.trees: Vends PennTreeReader objects.
PennTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory: Default constructor; uses a LabeledScoredTreeFactory, with StringLabels, a PennTreebankTokenizer, and a TreeNormalizer.
PennTreeReaderFactory(TreeFactory) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory: Specify your own TreeFactory; uses a PennTreebankTokenizer, and a TreeNormalizer.
PennTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory: Specify your own TreeNormalizer; uses a PennTreebankTokenizer, and a LabeledScoredTreeFactory.
PennTreeReaderFactory(TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory: Specify your own TreeFactory; uses a PennTreebankTokenizer, and a TreeNormalizer.
percolateHeadIndices() - Method in class edu.stanford.nlp.trees.Tree: Percolates terminal indices through a dependency tree.
percolateHeads(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree: Finds the heads of the tree.
percolateHeads(HeadFinder) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Uses the specified HeadFinder to determine the heads for this node and all its descendants, and to store references to the head word node and head tag node in this node's CoreLabel and the CoreLabels of all its descendants.
perturbCounts(C, Random, double) - Static method in class edu.stanford.nlp.stats.Counters
perVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
PHRASAL_VERB_PARTICLE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "phrasal verb particle" grammatical relation.
pickFont(Graphics2D, Tree, Dimension) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
pickFont() - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
pointwiseMutualInformation(Counter<T1>, Counter<T2>, Counter<Pair<T1, T2>>, Pair<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
poisson(int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
poll() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper: Returns the next available result.
popNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
posMapOptions - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
posMapper - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
POSSESSION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "possession" grammatical relation between the possessum and the possessor.
POSSESSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "possessive" grammatical relation.
POSSIBLE_TAGS_ONLY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
possiblePlural(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
possibleTagsOnly() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
postGPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
postMortem() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: A way for subclasses to fix any heads under special conditions.
postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.CollinsHeadFinder
postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder: Overwrite the postOperationFix method.
postOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
postPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
postProcessDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
postProcessDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Post process the dependencies in whatever way this language requires.
postSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
postSplitWithBaseCategory - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Whether, in post-splitting of categories, nodes are annotated with the (grand)parent's base category or with its complete subcategorized category.
pow(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: raises each entry in array a by power c
pow(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath: raises each entry in array a by power c
pow(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath: Returns an approximation to Math.pow(a,b) that is ~27x faster with a margin of error possibly around ~10%.
pow(Counter<T>, double) - Static method in class edu.stanford.nlp.stats.Counters
powerSet(Set<E>) - Static method in class edu.stanford.nlp.util.Sets: Returns the powerset (the set of all subsets) of set s.
powInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Scales the values in this array by c.
powInPlace(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath: Sets the values in this array by to their value taken to cth power.
powInPlace(Counter<T>, double) - Static method in class edu.stanford.nlp.stats.Counters
powNormalized(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Returns a counter where each element corresponds to the normalized count of the corresponding element in c raised to the given power.
pparser - Variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
ppAttachmentEval() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Returns a language specific object for evaluating PP attachment
ppAttachmentEval() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Returns a language specific object for evaluating PP attachment
precision(Set<?>, Set<?>) - Static method in class edu.stanford.nlp.parser.metrics.AbstractEval
PRECONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "preconjunct" grammatical relation.
PREDETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "predeterminer" grammatical relation.
PREDICATE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "predicate" grammatical relation.
PREDICATE_ASPECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "aspect marker" grammatical relation.
predictSplits - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Use the method reported by Berkeley for splitting and recombining states.
preOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
PREPOSITIONAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "prepositional complement" grammatical relation.
PREPOSITIONAL_LOC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "prepositional localizer modifier" grammatical relation.
PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "prepositional modifier" grammatical relation.
PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "prepositional modifier" grammatical relation.
PREPOSITIONAL_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "prepositional object" grammatical relation.
PREPOSITIONAL_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "prepositional object" grammatical relation.
presentableText() - Method in class edu.stanford.nlp.ling.BasicDocument: Returns a "pretty" version of the words in this Document suitable for display.
preTag - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Tag the sentences first, then parse given those (coarse) tags.
preTerminals(Tree) - Static method in class edu.stanford.nlp.trees.Trees
preTerminalYield() - Method in class edu.stanford.nlp.trees.Tree: Gets the preterminal yield (i.e., tags) of the tree.
preTerminalYield(List<Label>) - Method in class edu.stanford.nlp.trees.Tree: Gets the preterminal yield (i.e., tags) of the tree.
preTransformer - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: A transformer to use on the training data before any other processing step.
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.stats.ClassicCounter: Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.stats.IntCounter: Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.ArrayCoreMap: Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) - Method in interface edu.stanford.nlp.util.logging.PrettyLoggable: Pretty logs the current object to specific Redwood channels.
prettyLog(Object) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels: PrettyLog an object using these channels.
prettyLog(String, Object) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels: PrettyLog an object with a description using these channels.
prettyLog(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
prettyLog(String, Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Pair: Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Triple: Pretty logs the current object to specific Redwood channels.
PrettyLoggable - Interface in edu.stanford.nlp.util.logging: Indicates that a class supports "pretty logging".
PrettyLogger - Class in edu.stanford.nlp.util.logging: Primarily for debugging, PrettyLogger helps you dump various collection objects in a reasonably structured way via Redwood logging.
PRETTYPRINT - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
prettyPrint(SemanticGraphFormatter) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Pretty-prints this semantic graph to System.out, formatted by the supplied semantic graph formatter.
prettyPrint() - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Pretty-prints this semantic graph to System.out, formatted by the default semantic graph formatter.
prettyPrint() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: pretty-prints the GeneralizedCounter to System.out.
prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: pretty-prints the GeneralizedCounter, using a buffer increment of two spaces.
prettyPrint(PrintWriter, String) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: pretty-prints the GeneralizedCounter.
prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern: Print a multi-line representation of the pattern illustrating it's syntax.
prettyPrint(PrintStream) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern: Print a multi-line representation of the pattern illustrating it's syntax.
prettyPrint() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern: Print a multi-line representation of the pattern illustrating it's syntax to System.out.
print(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
print(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
print(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
print(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
print(Collection<TypedDependency>, PrintWriter) - Static method in class edu.stanford.nlp.trees.TreePrint: USED BY TREEPRINT AND WSD.SUPWSD.PREPROCESS Prints this set of typed dependencies to the specified PrintWriter.
print(Collection<TypedDependency>, String, PrintWriter) - Static method in class edu.stanford.nlp.trees.TreePrint: USED BY TREEPRINT Prints this set of typed dependencies to the specified PrintWriter in the specified format.
print() - Method in class edu.stanford.nlp.util.IntTuple
print(Object[], String) - Method in class edu.stanford.nlp.util.logging.OutputHandler: Print a string to an output without the trailing newline.
print(Object[], String) - Method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
print(Object[], String) - Method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler: Print a string to the console, without the trailing newline
print(Object[], String) - Method in class edu.stanford.nlp.util.logging.Redwood.FileHandler: Print a string to an output without the trailing newline.
print(boolean) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
print(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
print(int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
print(long) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
print(float) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
print(double) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
print(char[]) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
print(String) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
print(Object) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
printAllBestParses - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Print out all best PCFG parses.
printAllMatrices(PrintStream) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
printAnnotatedPW - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
printAnnotatedRuleCounts - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
printAnnotatedStateCounts - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
printArgs(String[], PrintStream) - Static method in class edu.stanford.nlp.parser.lexparser.ArgUtils
printBinarizedPW - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
printChannels(int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Print (to console) a margin with the channels of a given log message.
printChannels() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Print (to console) a margin with the channels of a given log message.
printChannels(int) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Print channels to the left of log messages
PrintCollocationStrings(PrintWriter) - Method in class edu.stanford.nlp.trees.CollocationFinder: Prints the collocations found in this Tree as strings.
printCounter(TwoDimensionalCounter<String, String>, String) - Static method in class edu.stanford.nlp.international.french.pipeline.MWEPreprocessor
printCounterComparison(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Great for debugging.
printCounterComparison(Counter<E>, Counter<E>, PrintStream) - Static method in class edu.stanford.nlp.stats.Counters: Great for debugging.
printCounterComparison(Counter<E>, Counter<E>, PrintWriter) - Static method in class edu.stanford.nlp.stats.Counters: Prints one or more lines (with a newline at the end) describing the difference between the two Counters.
printCounterSortedByKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
printDependencies(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Print typed dependencies in either the Stanford dependency representation or in the conllx format.
printErrInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
printf(String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
printf(Locale, String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
printFactoredKGood - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Printing k-best parses from PCFG, when k > 0.
printFileNames() - Method in class edu.stanford.nlp.trees.DiskTreebank
printFooter(PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
printHeader(PrintWriter, String) - Method in class edu.stanford.nlp.trees.TreePrint
printLexStats() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Print some statistics about this lexicon.
println(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
println(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
println(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
println(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out: Print the argument plus a NEWLINE in UTF-8, regardless of the platform default.
println(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
println(boolean) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
println(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
println(int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
println(long) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
println(float) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
println(double) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
println(char[]) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
println(String) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
println(Object) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
println() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
printLocalTree() - Method in class edu.stanford.nlp.trees.Tree
printLocalTree(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree: Only prints the local tree structure, does not recurse
printMatrixNames(PrintStream) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
printMatrixStats(PrintStream) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
printOnlyRelation - Static variable in class edu.stanford.nlp.semgraph.SemanticGraphEdge
printParameterType(int, PrintStream) - Method in class edu.stanford.nlp.parser.dvparser.DVModel: Prints to stdout the type and key for the given location in the parameter stack
printPathOutputs(List<List>, TransducerGraph, boolean) - Static method in class edu.stanford.nlp.fsm.TransducerGraph: For testing only.
printPCFGkBest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Printing k-best parses from PCFG, when k > 0.
printProperties(String, Properties, PrintStream) - Static method in class edu.stanford.nlp.util.PropertiesUtils
printProperties(String, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
printRuleCounts() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
printState(BasicDocument<L>) - Static method in class edu.stanford.nlp.ling.BasicDocument: For internal debugging purposes only.
printStateCounts() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
printStates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
printStats() - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
printStats() - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
printStringOneCharPerLine(String) - Static method in class edu.stanford.nlp.util.StringUtils
printToFile(File, String, boolean, boolean, String) - Static method in class edu.stanford.nlp.util.StringUtils: Prints to a file.
printToFile(File, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils: Prints to a file.
printToFile(File, String) - Static method in class edu.stanford.nlp.util.StringUtils: Prints to a file.
printToFile(String, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils: Prints to a file.
printToFile(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Prints to a file.
printToFileLn(File, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils: Prints to a file.
printToFileLn(String, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils: Prints to a file.
printTrainTree(PrintWriter, String, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.TrainOptions
printTree(Tree) - Method in class edu.stanford.nlp.trees.TreePrint: Prints the tree to the default PrintWriter.
printTree(Tree, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint: Prints the tree, with an empty ID.
printTree(Tree, String, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint: Prints the tree according to the options specified for this instance.
printTrees(List<ScoredObject<Tree>>, String, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint: Prints the trees according to the options specified for this instance.
printTreeTransformations - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Just for debugging: check that your tree transforms work correctly.
printWords() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
printWordTag - Static variable in class edu.stanford.nlp.ling.CategoryWordTag: If this is false, the tag and word are never printed in toString() calls.
PriorityQueue<E> - Interface in edu.stanford.nlp.util: A Set that also represents an ordering of its elements, and responds quickly to add(), changePriority(), removeFirst(), and getFirst() method calls.
PRN_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "parenthetical modifier" grammatical relation.
ProbabilityDistribution<E> - Interface in edu.stanford.nlp.stats: This is an interface for probability measures, which will allow samples to be drawn and the probability of objects computed.
probabilityOf(E) - Method in class edu.stanford.nlp.stats.Distribution: Returns the normalized count of the given object.
probabilityOf(E) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
probTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Calculate the probability of a dependency as a real probability between 0 and 1 inclusive.
process(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker
process(List<? extends HasWord>) - Method in interface edu.stanford.nlp.parser.lexparser.Reranker
process(List<? extends IN>) - Method in interface edu.stanford.nlp.process.ListProcessor: Take a List (including a Sentence) of input, and return a List that has been processed in some way.
process(List<? extends IN>) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor
process(List<? extends Word>) - Method in class edu.stanford.nlp.process.StripTagsProcessor: Returns a new Document with the same meta-data as in, and the same words except tags are stripped.
process(List<? extends IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
process(List<? extends IN>) - Method in class edu.stanford.nlp.process.WordToTaggedWordProcessor: Returns a new Document where each Word with a tag has been converted to a TaggedWord.
process(I) - Method in interface edu.stanford.nlp.util.concurrent.ThreadsafeProcessor: Set the input item that will be processed when a thread is allocated to this processor.
processArc(TransducerGraph.Arc) - Method in interface edu.stanford.nlp.fsm.TransducerGraph.ArcProcessor: Modifies Arc a.
processArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph.InputSplittingProcessor
processArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph.NodeProcessorWrappingArcProcessor
processArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph.OutputCombiningProcessor
processDocument(Document<L, F, IN>) - Method in class edu.stanford.nlp.process.AbstractListProcessor
processDocument(Document<L, F, IN>) - Method in interface edu.stanford.nlp.process.DocumentProcessor: Converts a Document to a different Document, by transforming or filtering the original Document.
processDocument(Document<L, F, IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
processEdge(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
processFile(File) - Method in class edu.stanford.nlp.trees.MemoryTreebank: Load a collection of parse trees from the file of given name.
processFile(File) - Method in interface edu.stanford.nlp.util.FileProcessor: Apply this predicate to a File.
processGraph(TransducerGraph) - Method in class edu.stanford.nlp.fsm.QuasiDeterminizer
processGraph(TransducerGraph) - Method in interface edu.stanford.nlp.fsm.TransducerGraph.GraphProcessor
processGraph(TransducerGraph) - Method in class edu.stanford.nlp.fsm.TransducerGraph.NormalizingGraphProcessor
processHeadWord(Label) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
processHeadWord(Label) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Allows language specific processing (e.g., stemming) of head words.
processHook(Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
processItem(Item) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
processLattice() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
processLists(List<List<IN>>) - Method in class edu.stanford.nlp.process.AbstractListProcessor: Process a list of lists of tokens.
processNode(Object) - Method in interface edu.stanford.nlp.fsm.TransducerGraph.NodeProcessor
processNode(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph.ObjectToSetNodeProcessor
processNode(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph.SetToStringNodeProcessor
processPath(String, String, boolean, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor: Apply a method to the files under a given directory and perhaps its subdirectories.
processPath(File, String, boolean, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor: Apply a method to the files under a given directory and perhaps its subdirectories.
processPath(File, FileFilter, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor: Apply a function to the files under a given directory and perhaps its subdirectories.
processPattern(TregexPattern, TsurgeonPattern, Tree) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Tries to match a pattern against a tree.
processPatternOnTrees(TregexPattern, TsurgeonPattern, Collection<Tree>) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Applies {#processPattern} to a collection of trees.
processPatternsOnTree(List<Pair<TregexPattern, TsurgeonPattern>>, Tree) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
processPreterminal(Tree) - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
processRequest(Socket) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer: Possible commands are of the form:
quit
parse query: returns a String of the parsed query
tree query: returns a serialized Tree of the parsed query
processResults(ParserQuery, Tree, PrintWriter, PrintWriter, PrintWriter, PrintWriter, TreePrint) - Method in class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
processResults(ParserQuery, int, PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.ParseFiles
processTreeHelper(String, String, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
product(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns the product of c1 and c2.
project(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
project(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
project(int) - Method in interface edu.stanford.nlp.parser.lexparser.GrammarProjection
project(String) - Method in interface edu.stanford.nlp.parser.lexparser.TagProjection: Project more split dependency space onto less split space.
projectHooks(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
projection - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
projection - Variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
projectNode(Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
projectUnaries(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
pronunciation - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
PropertiesUtils - Class in edu.stanford.nlp.util
propFileToProperties(String) - Static method in class edu.stanford.nlp.util.StringUtils: This method reads in properties listed in a file in the format prop=value, one property per line.
propFileToTreeMap(String, Map<String, String>) - Static method in class edu.stanford.nlp.util.StringUtils: This method reads in properties listed in a file in the format prop=value, one property per line.
prune(Filter<Tree>) - Method in class edu.stanford.nlp.trees.Tree: Creates a deep copy of the tree, where all nodes that the filter does not accept and all children of such nodes are pruned.
prune(Filter<Tree>, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree: Creates a deep copy of the tree, where all nodes that the filter does not accept and all children of such nodes are pruned.
prunePunc - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
pruneTW(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
ptb2Text(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer: Returns a presentable version of the given PTB-tokenized text.
ptb2Text(Reader, Writer) - Static method in class edu.stanford.nlp.process.PTBTokenizer: Writes a presentable version of the given PTB-tokenized text.
ptb2Text(List<String>) - Static method in class edu.stanford.nlp.process.PTBTokenizer: Returns a presentable version of the given PTB-tokenized words.
PTBEscapingProcessor<IN extends HasWord,L,F> - Class in edu.stanford.nlp.process: Produces a new Document of Words in which special characters of the PTB have been properly escaped.
PTBEscapingProcessor() - Constructor for class edu.stanford.nlp.process.PTBEscapingProcessor
PTBEscapingProcessor(char[], String[], char[], String[], boolean) - Constructor for class edu.stanford.nlp.process.PTBEscapingProcessor
ptbToken2Text(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer: Returns a presentable version of a given PTB token.
PTBTokenizer<T extends HasWord> - Class in edu.stanford.nlp.process: A fast, rule-based tokenizer implementation, which produces Penn Treebank style tokenization of English text.
PTBTokenizer(Reader, LexedTokenFactory<T>, String) - Constructor for class edu.stanford.nlp.process.PTBTokenizer: Constructs a new PTBTokenizer with a custom LexedTokenFactory.
PTBTokenizer.PTBTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.process: This class provides a factory which will vend instances of PTBTokenizer which wrap a provided Reader.
publish(LogRecord) - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler: Convert a java.util.logging call to its equivalent Redwood logging call.
puncFilter - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
puncTag - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
PunctEquivalenceClasser - Class in edu.stanford.nlp.parser.tools: Performs equivalence classing of punctuation per PTB guidelines.
PunctEquivalenceClasser() - Constructor for class edu.stanford.nlp.parser.tools.PunctEquivalenceClasser
PUNCTUATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "punctuation" grammatical relation.
PUNCTUATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "punctuation" grammatical relation.
punctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Return a filter that accepts a String that is a punctuation tag name, and rejects everything else.
punctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Return a filter that accepts a String that is a punctuation tag name, and rejects everything else.
punctuationTagRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Return a filter that rejects a String that is a punctuation tag name, and rejects everything else.
punctuationTagRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Return a filter that rejects a String that is a punctuation tag name, and accepts everything else.
punctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack: Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack: Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
punctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
punctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a String array of punctuation tags for this treebank/language.
punctuationWordAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a filter that accepts a String that is a punctuation word, and rejects everything else.
punctuationWordAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a filter that accepts a String that is a punctuation word, and rejects everything else.
punctuationWordRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a filter that accepts a String that is not a punctuation word, and rejects punctuation.
punctuationWordRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a filter that accepts a String that is not a punctuation word, and rejects punctuation.
punctuationWords() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack: Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack: Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
punctuationWords() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
punctuationWords() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a String array of punctuation words for this treebank/language.
purgeRules() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar: Remove A -> A UnaryRules from bestRulesUnderMax.
pushBack(int) - Method in interface edu.stanford.nlp.io.Lexer: Pushes back length character positions in the lexer.
pushLambdas(TransducerGraph, ClassicCounter) - Method in class edu.stanford.nlp.fsm.QuasiDeterminizer: Takes time linear in number of arcs.
pushNode(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
put(K, V) - Method in class edu.stanford.nlp.util.ArrayMap
put(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Replaces current Collection mapped to key with the specified Collection.
put(I) - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper: Allocate instance to a process and return.
put(K, Collection<V>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
put(K, V) - Method in class edu.stanford.nlp.util.DeltaMap: This may cost twice what it would in the original Map because we have to find the original value for this key.
put(K1, K2, K3, V) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
put(K1, K2, V) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
put(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
putAll(Map<? extends K, ? extends Collection<V>>) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Unsupported.
putAll(Map<? extends K, ? extends Collection<V>>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
putIntoValueArrayList(Map<K, List<V>>, K, V) - Static method in class edu.stanford.nlp.util.Maps: Adds the value to the ArrayList given by map.get(key), creating a new ArrayList if needed.
putIntoValueCollection(Map<K, C>, K, V, CollectionFactory<V>) - Static method in class edu.stanford.nlp.util.Maps: Adds the value to the collection given by map.get(key).
putIntoValueHashSet(Map<K, Set<V>>, K, V) - Static method in class edu.stanford.nlp.util.Maps: Adds the value to the HashSet given by map.get(key), creating a new HashMap if needed.
putSpi(String, String) - Method in class edu.stanford.nlp.util.DisabledPreferences
pw() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: The PrintWriter used to print output.
pw(OutputStream) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: The PrintWriter used to print output.
pw(OutputStream) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams: The PrintWriter used to print output to OutputStream o.
pw() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: returns a PrintWriter used to print output.
pw(OutputStream) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: returns a PrintWriter used to print output to the OutputStream o.

Q

qnEstimates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When training the DV parsing method, how many estimates to keep for the qn approximation.
qnIterationsPerBatch - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
QNMinimizer - Class in edu.stanford.nlp.optimization: An implementation of L-BFGS for Quasi Newton unconstrained minimization.
QNMinimizer() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer(int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer(int, boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer(Function, int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer(Function, int, boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer(FloatFunction) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer.eLineSearch - Enum in edu.stanford.nlp.optimization
QNMinimizer.eScaling - Enum in edu.stanford.nlp.optimization
QNMinimizer.eState - Enum in edu.stanford.nlp.optimization
QNMinimizer.QNInfo - Class in edu.stanford.nlp.optimization: The QNInfo class is used to store information about the Quasi Newton update.
QNMinimizer.QNInfo(int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
QNMinimizer.QNInfo() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
QNMinimizer.QNInfo(List<double[]>, List<double[]>) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
QNMinimizer.Record - Class in edu.stanford.nlp.optimization: The Record class is used to collect information about the function value over a series of iterations.
QNMinimizer.Record(boolean, Function, double) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
QNMinimizer.Record(boolean, Function, double, PrintWriter) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
QNMinimizer.Record(boolean, Function, double, double) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
QNMinimizer.SurpriseConvergence - Class in edu.stanford.nlp.optimization
QNMinimizer.SurpriseConvergence(String) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.SurpriseConvergence
qnTolerance - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When training the DV parsing method, the tolerance to use if we want to stop qn early
QPtransform(Tree) - Static method in class edu.stanford.nlp.trees.QPTreeTransformer: Transforms t if it contains one of the following QP structure: QP (RB IN CD|DT ...) well over, more than QP (JJR IN CD|DT ...) fewer than QP (IN JJS CD|DT ...) at least QP (...
QPTreeTransformer - Class in edu.stanford.nlp.trees: Transforms an English structure parse tree in order to get the dependencies right: Adds an extra structure in QP phrases:
(QP (RB well) (IN over) (CD 9)) becomes
(QP (XS (RB well) (IN over)) (CD 9))
(QP (...) (CC ...) (...)) becomes
(QP (NP ...) (CC ...) (NP ...))
QPTreeTransformer() - Constructor for class edu.stanford.nlp.trees.QPTreeTransformer
QUANTIFIER_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "quantifier phrase modifier" grammatical relation.
QuasiDeterminizer - Class in edu.stanford.nlp.fsm: QuasiDeterminizer.
QuasiDeterminizer() - Constructor for class edu.stanford.nlp.fsm.QuasiDeterminizer
queuedTracks - Variable in class edu.stanford.nlp.util.logging.OutputHandler: A list of tracks which have been started but not yet printed as no log messages are in them yet.

R

RadicalMap - Class in edu.stanford.nlp.trees.international.pennchinese: A way to determine the primary (or "semantic") radical of a Chinese character or get the set of characters with a given semantic radical.
randomInitial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
range(int, int) - Static method in class edu.stanford.nlp.math.ArrayMath: Generate a range of integers from start (inclusive) to end (exclusive).
RANGE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "range" grammatical relation.
RARE_WORD_MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
RARE_WORD_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
RAW_COUNTS - Static variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
read() - Method in class edu.stanford.nlp.io.ReaderInputStream: Reads from the Reader, returning the same value.
read(byte[], int, int) - Method in class edu.stanford.nlp.io.ReaderInputStream: Reads from the Reader into a byte array
read(DataInputStream) - Method in class edu.stanford.nlp.ling.WordTag
read() - Method in class edu.stanford.nlp.util.StringParsingTask
readAndParseTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
readCEDict(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
readCEDict(String, String, String, String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
readColumnSet(String, int) - Static method in class edu.stanford.nlp.io.IOUtils: Read column as set
readConfig(DataInputStream) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerConfig: Read in a TaggerConfig.
readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
readCoNLLXGrammaticalStructureCollection(String, Map<String, GrammaticalRelation>, GrammaticalStructureFromDependenciesFactory) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Read in a file containing a CoNLL-X dependency treebank and return a corresponding list of GrammaticalStructures.
readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
readCSVStrictly(char[], int) - Static method in class edu.stanford.nlp.io.IOUtils: Read a CSV file character by character.
readCSVStrictly(String, int) - Static method in class edu.stanford.nlp.io.IOUtils
readCSVWithHeader(String, char, char) - Static method in class edu.stanford.nlp.io.IOUtils: Read in a CSV formatted file with a header row
readCSVWithHeader(String) - Static method in class edu.stanford.nlp.io.IOUtils
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar: Default is to throw exception.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Populates data in this Lexicon from the character stream given by the Reader r.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar: Populates data in this BinaryGrammar from the character stream given by the Reader r.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
readData(BufferedReader) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar: Read from text grammar.
readData(BufferedReader) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: Read the lexicon from the BufferedReader in the format written by writeData.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Populates data in this DependencyGrammar from the character stream given by the Reader r.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.Options: Populates data in this Options from the character stream.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar: Populates data in this UnaryGrammar from a character stream.
readDependencies(String) - Method in interface edu.stanford.nlp.trees.DependencyReader
readDeps(String) - Static method in class edu.stanford.nlp.trees.DependencyScoring: Read in typed dependencies.
readDepsCoNLLX(String) - Static method in class edu.stanford.nlp.trees.DependencyScoring: Read in typed dependencies in CoNLLX format.
readDocument() - Method in class edu.stanford.nlp.ling.DocumentReader: Reads the next document's worth of text from the reader and turns it into a Document.
readDocumentFromFile(String) - Static method in class edu.stanford.nlp.util.XMLUtils
readDocumentFromString(String) - Static method in class edu.stanford.nlp.util.XMLUtils
readDot() - Method in class edu.stanford.nlp.util.StringParsingTask
reader() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
readerFromStdin() - Static method in class edu.stanford.nlp.io.IOUtils: Open a BufferedReader on stdin.
readerFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils: Open a BufferedReader to a file or URL specified by a String name.
readerFromString(String, String) - Static method in class edu.stanford.nlp.io.IOUtils: Open a BufferedReader to a file or URL specified by a String name.
ReaderInputStream - Class in edu.stanford.nlp.io: Adapts a Reader as an InputStream.
ReaderInputStream(Reader) - Constructor for class edu.stanford.nlp.io.ReaderInputStream: Construct a ReaderInputStream for the specified Reader.
ReaderInputStream(Reader, String) - Constructor for class edu.stanford.nlp.io.ReaderInputStream: Construct a ReaderInputStream for the specified Reader, with the specified encoding.
ReaderIteratorFactory - Class in edu.stanford.nlp.objectbank: A ReaderIteratorFactory provides a means of getting an Iterator which returns java.util.Readers over a Collection of input sources.
ReaderIteratorFactory(Collection<?>) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Constructs a ReaderIteratorFactory from the input sources contained in the Collection.
ReaderIteratorFactory(Collection<?>, String) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
ReaderIteratorFactory(Object) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Convenience constructor to construct a ReaderIteratorFactory from a single input source.
ReaderIteratorFactory(Object, String) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
ReaderIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
readGrammaticalStructureFromFile(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Returns a function which reads the given filename and turns its content in a list of GrammaticalStructures.
readJavaIdentifier() - Method in class edu.stanford.nlp.util.StringParsingTask
readLeftParen() - Method in class edu.stanford.nlp.util.StringParsingTask
readLines(String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns an Iterable of the lines in the file.
readLines(String, String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns an Iterable of the lines in the file.
readLines(File) - Static method in class edu.stanford.nlp.io.IOUtils: Returns an Iterable of the lines in the file.
readLines(File, Class<? extends InputStream>) - Static method in class edu.stanford.nlp.io.IOUtils: Returns an Iterable of the lines in the file.
readLines(File, Class<? extends InputStream>, String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns an Iterable of the lines in the file, wrapping the generated FileInputStream with an instance of the supplied class.
readMacros(String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
readMacros(String, String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
readMacros(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.Macros
readMap(String) - Static method in class edu.stanford.nlp.io.IOUtils
readName() - Method in class edu.stanford.nlp.util.StringParsingTask: Reads characters until isWhiteSpace(ch)or isPunct(ch) or StringParsingTask.isEOF().
readNextDocumentText() - Method in class edu.stanford.nlp.ling.DocumentReader: Reads the next document's worth of text from the reader.
readObjectFromColumns(Class, String, String[], String) - Static method in class edu.stanford.nlp.io.IOUtils
readObjectFromFile(File) - Static method in class edu.stanford.nlp.io.IOUtils: Read an object from a stored file.
readObjectFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils: Read an object from a stored file.
readObjectFromFileNoExceptions(File) - Static method in class edu.stanford.nlp.io.IOUtils: Read an object from a stored file without throwing exceptions.
readObjectFromObjectStream(ObjectInputStream) - Static method in class edu.stanford.nlp.io.IOUtils
readObjectFromURLOrClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils: Read an object from a stored file.
readRightParen() - Method in class edu.stanford.nlp.util.StringParsingTask
readStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
readStringPair(DataInputStream) - Static method in class edu.stanford.nlp.util.Pair: Read a string representation of a Pair from a DataStream.
readTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils: Reads all text of the XML tag and returns it as a String.
readText(Reader) - Static method in class edu.stanford.nlp.ling.DocumentReader: Returns everything that can be read from the given Reader as a String.
readTree() - Method in class edu.stanford.nlp.trees.FilteringTreeReader: Reads a single tree.
readTree() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeReader
readTree() - Method in class edu.stanford.nlp.trees.international.pennchinese.FragDiscardingPennTreeReader
readTree() - Method in class edu.stanford.nlp.trees.PennTreeReader: Reads a single tree in standard Penn Treebank format from the input stream.
readTree() - Method in interface edu.stanford.nlp.trees.TreeReader: Reads a single tree.
readTree(String, TreeFactory) - Static method in class edu.stanford.nlp.trees.Trees: Simple tree reading utility method.
readTree(String) - Static method in class edu.stanford.nlp.trees.Trees: Simple tree reading utility method.
readUntilTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils: Reads all text up to next XML tag and returns it as a String.
readWhiteSpace() - Method in class edu.stanford.nlp.util.StringParsingTask
readWordVectors() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
recalculateBetas(boolean) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor: Recalculates the betas for all known transitions.
recalculateMergedBetas(Map<String, int[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
recalculateTemporaryBetas(boolean, Map<String, double[]>, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor: Creates temporary beta data structures and fills them in by iterating over the trees.
recalculateTemporaryBetas(Tree, boolean, Map<String, double[]>, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
recalculateTemporaryBetas(Tree, double[], int, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>, Map<String, double[]>, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
recomputeTotal() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
recordScore(KBestViterbiParser, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
recountInside(Tree, boolean, int, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
recountOutside(Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
recountOutside(Tree, Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
recountOutside(Tree, Tree, Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
recountTree(Tree, boolean, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
recountTree(Tree, boolean, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
recountWeights(Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
recurse(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats: p is parent
recurseOutside(Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
RecursiveTreeTransformer - Class in edu.stanford.nlp.trees: A tool to recursively alter a tree in various ways.
RecursiveTreeTransformer() - Constructor for class edu.stanford.nlp.trees.RecursiveTreeTransformer
RED - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
RedirectOutputHandler<LoggerClass,ChannelEquivalent> - Class in edu.stanford.nlp.util.logging: A class to redirect the output of Redwood to another logging mechanism, e.g., java.util.logging.
RedirectOutputHandler(LoggerClass, Method) - Constructor for class edu.stanford.nlp.util.logging.RedirectOutputHandler: Create a redirect handler, with a logging class, ignoring logging levels.
RedirectOutputHandler(LoggerClass, Method, Map<Object, ChannelEquivalent>, ChannelEquivalent) - Constructor for class edu.stanford.nlp.util.logging.RedirectOutputHandler: Create a redirect handler, with a logging class, redirecting both the logging message, and the channel that it came from
Redwood - Class in edu.stanford.nlp.util.logging: A hierarchical channel based logger.
Redwood() - Constructor for class edu.stanford.nlp.util.logging.Redwood
Redwood.ConsoleHandler - Class in edu.stanford.nlp.util.logging: Default output handler which actually prints things to the real System.out
Redwood.FileHandler - Class in edu.stanford.nlp.util.logging: Handler which prints to a specified file TODO: make constructors for other ways of describing files (File, for example!)
Redwood.FileHandler(String) - Constructor for class edu.stanford.nlp.util.logging.Redwood.FileHandler
Redwood.Flag - Enum in edu.stanford.nlp.util.logging: Standard channels; enum for the sake of efficiency
Redwood.Record - Class in edu.stanford.nlp.util.logging: A log record, which encapsulates the information needed to eventually display the enclosed message.
Redwood.Record(Object, Object[], int, StackTraceElement, long) - Constructor for class edu.stanford.nlp.util.logging.Redwood.Record: Create a new Record, based on the content of the log, the channels, and the depth
Redwood.Record(Object, Object[], int, String, String, long) - Constructor for class edu.stanford.nlp.util.logging.Redwood.Record: Create a new Record, based on the content of the log, the channels, and the depth
Redwood.RecordHandlerTree - Class in edu.stanford.nlp.util.logging: A tree structure of record handlers
Redwood.RecordHandlerTree() - Constructor for class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
Redwood.RecordHandlerTree(LogRecordHandler) - Constructor for class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
Redwood.RedwoodChannels - Class in edu.stanford.nlp.util.logging: Represents a collection of channels.
Redwood.RedwoodChannels(Object...) - Constructor for class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
Redwood.Util - Class in edu.stanford.nlp.util.logging: A utility class for Redwood intended for static import (import static edu.stanford.nlp.util.logging.Redwood.Util.*;), providing a wrapper for Redwood functions and adding utility shortcuts
Redwood.Util() - Constructor for class edu.stanford.nlp.util.logging.Redwood.Util
RedwoodConfiguration - Class in edu.stanford.nlp.util.logging: A class which encapsulates configuration settings for Redwood.
RedwoodConfiguration() - Constructor for class edu.stanford.nlp.util.logging.RedwoodConfiguration: Private constructor to prevent use of "new RedwoodConfiguration()"
RedwoodPrintStream - Class in edu.stanford.nlp.util.logging: A PrintStream that writes to Redwood logs.
RedwoodPrintStream(Redwood.Flag, PrintStream) - Constructor for class edu.stanford.nlp.util.logging.RedwoodPrintStream
REFERENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "referent" grammatical relation.
ReflectionLoading - Class in edu.stanford.nlp.util: The goal of this class is to make it easier to load stuff by reflection.
ReflectionLoading.ReflectionLoadingException - Exception in edu.stanford.nlp.util: This class encapsulates all of the exceptions that can be thrown when loading something by reflection.
ReflectionLoading.ReflectionLoadingException(String, Throwable) - Constructor for exception edu.stanford.nlp.util.ReflectionLoading.ReflectionLoadingException
regCost - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
regDistanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
regDistanceBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
regentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
regexesToPatterns(Iterable<String>) - Static method in class edu.stanford.nlp.util.StringUtils
regexGroups(Pattern, String) - Static method in class edu.stanford.nlp.util.StringUtils: Given a pattern and a string, returns a list with the values of the captured groups in the pattern.
registerReal(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
registerRule(List<String>, List<String>, int) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
rejectFilter() - Static method in class edu.stanford.nlp.util.Filters: The rejectFilter accepts nothing.
REL_FLAGS_AFTER - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_EE_AFTER - Static variable in class edu.stanford.nlp.util.Interval: The first interval ends after the second ends
REL_FLAGS_EE_BEFORE - Static variable in class edu.stanford.nlp.util.Interval: The first interval ends before the second ends
REL_FLAGS_EE_SAME - Static variable in class edu.stanford.nlp.util.Interval: Both intervals have the same end point
REL_FLAGS_EE_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_EE_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval: The relationship between the end points of the two intervals is unknown (used for fuzzy intervals)
REL_FLAGS_ES_AFTER - Static variable in class edu.stanford.nlp.util.Interval: The end point of the first interval is after the start point of the second interval (the two intervals overlap)
REL_FLAGS_ES_BEFORE - Static variable in class edu.stanford.nlp.util.Interval: The end point of the first interval is before the start point of the second interval (the first interval is before the second)
REL_FLAGS_ES_SAME - Static variable in class edu.stanford.nlp.util.Interval: The end point of the first interval is the same as the start point of the second interval (the first interval is before the second)
REL_FLAGS_ES_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_ES_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval: The relationship between the end point of the first interval and the start point of the second interval is unknown (used for fuzzy intervals)
REL_FLAGS_INTERVAL_AFTER - Static variable in class edu.stanford.nlp.util.Interval: The first interval is entirely after the second interval (the start of the first interval happens after the end of the second)
REL_FLAGS_INTERVAL_ALMOST_AFTER - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_INTERVAL_ALMOST_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_INTERVAL_ALMOST_SAME - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_INTERVAL_BEFORE - Static variable in class edu.stanford.nlp.util.Interval: The first interval is entirely before the second interval (the end of the first interval happens before the start of the second)
REL_FLAGS_INTERVAL_CONTAIN - Static variable in class edu.stanford.nlp.util.Interval: The first interval contains the second interval.
REL_FLAGS_INTERVAL_FUZZY - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_INTERVAL_INSIDE - Static variable in class edu.stanford.nlp.util.Interval: The first interval is inside the second interval.
REL_FLAGS_INTERVAL_OVERLAP - Static variable in class edu.stanford.nlp.util.Interval: The first interval overlaps with the second interval.
REL_FLAGS_INTERVAL_SAME - Static variable in class edu.stanford.nlp.util.Interval: The intervals are the same (have the same start and end points).
REL_FLAGS_INTERVAL_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval: It is uncertain what the relationship between the two intervals are...
REL_FLAGS_SAME - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_SE_AFTER - Static variable in class edu.stanford.nlp.util.Interval: The start point of the first interval is after the end point of the second interval (the second interval is before the first)
REL_FLAGS_SE_BEFORE - Static variable in class edu.stanford.nlp.util.Interval: The start point of the first interval is before the end point of the second interval (the two intervals overlap)
REL_FLAGS_SE_SAME - Static variable in class edu.stanford.nlp.util.Interval: The start point of the first interval is the same as the end point of the second interval (the second interval is before the first)
REL_FLAGS_SE_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_SE_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval: The relationship between the start point of the first interval and the end point of the second interval is unknown (used for fuzzy intervals)
REL_FLAGS_SS_AFTER - Static variable in class edu.stanford.nlp.util.Interval: The first interval starts after the second starts
REL_FLAGS_SS_BEFORE - Static variable in class edu.stanford.nlp.util.Interval: The first interval starts before the second starts
REL_FLAGS_SS_SAME - Static variable in class edu.stanford.nlp.util.Interval: Both intervals have the same start point
REL_FLAGS_SS_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
REL_FLAGS_SS_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval: The relationship between the start points of the two intervals is unknown (used for fuzzy intervals)
REL_FLAGS_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
RELATIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The RELATIVE grammatical relation is only here as a temporary relation.
RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "relative clause modifier" grammatical relation.
RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "relative clause modifier" grammatical relation.
relaxHook1 - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
relaxHook2 - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
relaxHook3 - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
relaxHook4 - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
relaxPriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Promotes a key in the queue, adding it if it wasn't there already.
relaxPriority(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Not supported in this implementation.
relaxPriority(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue: Increases the priority of the E key to the new priority if the old priority was lower than the new priority.
relaxTempEdge() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
relaxTempHook() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser.N5BiLexPCFGParser
relaxTempHook() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
reln(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the relation that node a has with node b.
reln() - Method in class edu.stanford.nlp.trees.TypedDependency
relns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a set of relations which this node has with its parents.
remove(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Unsupported Operation.
remove(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Removes an Object from the underlying Collection of input sources.
remove() - Method in class edu.stanford.nlp.process.AbstractTokenizer: This is an optional operation, by default not supported.
remove() - Method in interface edu.stanford.nlp.process.Tokenizer: Removes from the underlying collection the last element returned by the iterator.
remove(E) - Method in class edu.stanford.nlp.stats.ClassicCounter: Removes the given key and its associated value from this Counter.
remove(E) - Method in interface edu.stanford.nlp.stats.Counter: Removes the given key and its associated value from this Counter.
remove(E) - Method in class edu.stanford.nlp.stats.IntCounter: Removes the given key from this Counter.
remove(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
remove(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
remove(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
remove(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
remove(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
remove(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
remove() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
remove() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
remove() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
remove(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
remove(Object) - Method in class edu.stanford.nlp.trees.Treebank: This operation isn't supported for a Treebank.
remove() - Method in class edu.stanford.nlp.util.AbstractIterator: Throws an UnupportedOperationException.
remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap: Removes the given key from the map, returning the value removed.
remove(Object) - Method in class edu.stanford.nlp.util.ArrayMap
remove(Object) - Method in class edu.stanford.nlp.util.Beam
remove() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
remove(Object) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
remove(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Removes the mapping associated with this key from this Map.
remove() - Method in class edu.stanford.nlp.util.ConcatenationIterator
remove(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
remove(Object) - Method in class edu.stanford.nlp.util.DeltaMap
remove() - Method in class edu.stanford.nlp.util.FilteredIterator
remove() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Not supported -- next() already removes the head of the queue.
remove(Object) - Method in class edu.stanford.nlp.util.HashIndex
remove(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet: Removes the specified element from this set if it is present.
remove(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
remove(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
remove(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap: Removes all of the data associated with the first key in the map
remove(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap: Removes the given key from the map, returning the value removed.
removeAll(Collection, Collection) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
removeAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Unsupported Operation.
removeAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Removes all Objects in Collection c from the underlying Collection of input sources.
removeAll(Collection<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter: Removes all the given keys from this Counter.
removeAll(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Removes all the given keys from this Counter.
removeAll(Collection<K>) - Method in class edu.stanford.nlp.util.CollectionValuedMap: removes the mappings associated with the keys from this map
removeAll(Collection<?>) - Method in class edu.stanford.nlp.util.HashIndex
removeAll(TwoDimensionalSet<? extends K1, ? extends K2>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
removeArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph
removeAt(double[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils: Removes the element at the specified index from the array, and returns a new array containing the remaining elements.
removeAt(Object[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils: Removes the element at the specified index from the array, and returns a new array containing the remaining elements.
removeChild(int) - Method in class edu.stanford.nlp.trees.Tree: Destructively removes the child at some daughter index and returns it.
removeChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
removeDashTags - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
removeDependencyRoots(List<Tree>) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
removeEdge(V, V, E) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
removeEdge(V, V, E) - Method in interface edu.stanford.nlp.graph.Graph
removeEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
removeEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
removeEdges(V, V) - Method in interface edu.stanford.nlp.graph.Graph
removeEscapeTokens - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
removeFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Finds the object with the highest priority, removes it, and returns it.
removeFirst() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Returns the highest-priority element and removes it from the queue.
removeFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue: Finds the object with the highest priority, removes it, and returns it.
removeHandler(Class<E>) - Static method in class edu.stanford.nlp.util.logging.Redwood: Remove a handler from the list
removeKeys(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters: Removes all entries with keys in the given collection
removeKeys(Map<K, V>, Collection<K>) - Static method in class edu.stanford.nlp.util.Maps: Removes keys from the map
removeMapping(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Removes the value from the Collection mapped to by this key, leaving the rest of the collection intact.
removeMapping(K, V) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
removeNodeSpi() - Method in class edu.stanford.nlp.util.DisabledPreferences
removeObject(List<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils: Removes the first occurrence in the list of the specified object, using object identity (==) not equality as the criterion for object presence.
removeSpi(String) - Method in class edu.stanford.nlp.util.DisabledPreferences
removeVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: remove a vertex (and its edges) from the graph.
removeVertex(V) - Method in interface edu.stanford.nlp.graph.Graph: remove a vertex (and its edges) from the graph.
removeVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
removeVertices(Collection<V>) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
removeVertices(Collection<V>) - Method in interface edu.stanford.nlp.graph.Graph
removeZeroCounts() - Method in class edu.stanford.nlp.stats.IntCounter: Removes all keys whose count is 0.
removeZeroCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
removeZeroCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
removeZeroDegreeNodes() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: Deletes nodes with zero incoming and zero outgoing edges
removeZeroDegreeNodes() - Method in interface edu.stanford.nlp.graph.Graph: Deletes nodes with zero incoming and zero outgoing edges
renameToBackupName(File) - Static method in class edu.stanford.nlp.io.IOUtils
repeat(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
repeat(char, int) - Static method in class edu.stanford.nlp.util.StringUtils
RepeatedRecordHandler - Class in edu.stanford.nlp.util.logging: Filters repeated messages and replaces them with the number of times they were logged.
RepeatedRecordHandler(RepeatedRecordHandler.RepeatSemantics) - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler: Create a new repeated log message handler, using the given semantics for what constitutes a repeated record.
RepeatedRecordHandler.ApproximateRepeatSemantics - Class in edu.stanford.nlp.util.logging: Judges two records to be equal if they come from the same place, and begin with the same string, modulo numbers
RepeatedRecordHandler.ApproximateRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
RepeatedRecordHandler.ExactRepeatSemantics - Class in edu.stanford.nlp.util.logging: Judges two records to be equal if they are from the same place, and have the same message
RepeatedRecordHandler.ExactRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
RepeatedRecordHandler.RepeatSemantics - Interface in edu.stanford.nlp.util.logging: Determines the semantics of what constitutes a repeated record
replaceAscii(String) - Static method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
replaceEscapes - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
replaceNode(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees: replaces all instances (by ==) of node with node1.
replaceSubsts - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
report() - Method in class edu.stanford.nlp.util.Timing: Return elapsed time (without stopping timer).
report(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing: Print elapsed time (without stopping timer).
report(String) - Method in class edu.stanford.nlp.util.Timing: Print elapsed time to System.err (without stopping timer).
report(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing: Print elapsed time (without stopping timer).
requiredOptions - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
reranker - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Reranker - Interface in edu.stanford.nlp.parser.lexparser: A scorer which the RerankingParserQuery can use to rescore sentences.
rerankerKBest - Variable in class edu.stanford.nlp.parser.lexparser.Options: If the parser has a reranker, it looks at this many trees when building the reranked list.
RerankerQuery - Interface in edu.stanford.nlp.parser.lexparser: Process a Tree and return a score.
rerankerQuery() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
RerankingParserQuery - Class in edu.stanford.nlp.parser.lexparser: Rerank trees from the ParserQuery based on scores from a Reranker.
RerankingParserQuery(Options, ParserQuery, Reranker) - Constructor for class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
RES_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "resultative complement" grammatical relation.
rescaleTemporaryBetas(TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
reservedWords - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
reset() - Method in class edu.stanford.nlp.io.ReaderInputStream: Resets the StringReader.
reset() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Resets the matcher so that its search starts over.
reset() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
resetRoots() - Method in class edu.stanford.nlp.semgraph.SemanticGraph: This method should not be used if possible.
resolveVars(String, Map) - Static method in class edu.stanford.nlp.util.StringUtils: Resolve variable.
restart() - Method in class edu.stanford.nlp.util.Timing: Restart timer.
restart(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing: Print elapsed time and restart timer.
restart(String) - Method in class edu.stanford.nlp.util.Timing: Print elapsed time to System.err and restart timer.
restart(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing: Print elapsed time and restart timer.
restoreOriginalWords(Tree) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
restoreOriginalWords(Tree) - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
restoreOriginalWords(Tree) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
restoreSystemStreams() - Static method in class edu.stanford.nlp.util.logging.Redwood: Restores System.out and System.err to their original values
restrictedArgMax(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
retainAbove(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Removes all entries with counts below the given threshold, returning the set of removed entries.
retainAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Unsupported Operation.
retainAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Removes all Objects from the underlying Collection of input sources except those in Collection c
retainAll(Collection<E>, Filter<? super E>) - Static method in class edu.stanford.nlp.util.Filters: Removes all elems in the given Collection that aren't accepted by the given Filter.
retainBelow(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Removes all entries with counts above the given threshold, returning the set of removed entries.
retainBottom(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters: Removes all entries from c except for the bottom num
retainKeys(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters: Removes all entries with keys that does not match the given set of keys
retainMatchingKeys(Counter<String>, List<Pattern>) - Static method in class edu.stanford.nlp.stats.Counters: Removes all entries with keys that does not match one of the given patterns
retainNonZeros(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Removes all entries with 0 count in the counter, returning the set of removed entries.
retainTop(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters: Removes all entries from c except for the top num
retainTopKeyComparable(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters: Removes all entries from c except for the top num
retainTopMass(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Retains the minimal set of top keys such that their count sum is more than thresholdCount.
reverse(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
reverse(List<A>) - Static method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
reverseIndexOrder(TwoDimensionalCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter: Produces a new ConditionalCounter.
reverseIndexOrder(TwoDimensionalIntCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter: Produces a new ConditionalCounter.
reverseKeys() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
rif - Variable in class edu.stanford.nlp.objectbank.ObjectBank
RIGHT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
rightAccepting(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
rightCharEdge(Tree) - Method in class edu.stanford.nlp.trees.Tree: Returns the positional index of the right edge of node within the tree, as measured by characters.
rightChild - Variable in class edu.stanford.nlp.parser.lexparser.BinaryRule
rightEdge(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees: Returns the positional index of the right edge of a tree t within a given root, as defined by the size of the yield of all material preceding t plus all the material contained in t.
rightFA - Variable in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
rightPhrasal - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Right edge has a phrasal node.
rightRec - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Right edge is right-recursive (X << X) Bad.
rightSisterLabels(Tree, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats: string-value labels of right sisters; from inside to outside (left-right)
ROOT - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation: The "root" grammatical relation between a faked "ROOT" node, and the root of the sentence.
root - Variable in class edu.stanford.nlp.trees.TreeGraph: The root node of this treegraph.
root() - Method in class edu.stanford.nlp.trees.TreeGraph: Return the root node of this treegraph.
rootHandler(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Add a custom Log Record Handler to the root of the tree
rootLabelOnlyFormat - Static variable in class edu.stanford.nlp.trees.TreePrint
rootNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
rootSymbol() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
rootSymbol() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
rootTW(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
round(double) - Static method in class edu.stanford.nlp.math.SloppyMath: Round a double to the nearest integer, via conventional rules (.5 rounds up, .49 rounds down), and return the result, still as a double.
round(double, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Round a double to the given number of decimal places, rounding to the nearest value via conventional rules (5 rounds up, 49 rounds down).
Rule - Interface in edu.stanford.nlp.parser.lexparser: Interface for int-format grammar rules.
ruleDiscount - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Discounts the count of BinaryRule's (only, apparently) in training data.
ruleIterator() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
ruleIteratorByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
ruleIteratorByLeftChild(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
ruleIteratorByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
ruleIteratorByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
ruleIteratorByRightChild(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
ruleIteratorByWord(String, int) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Returns the possible POS taggings for a word.
ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Generate the possible taggings for a word at a sentence position.
ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon: Rule table is lemmas.
ruleIteratorByWord(int, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: Get an iterator over all rules (pairs of (word, POS)) for this word.
ruleIteratorByWord(String, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: Same thing, but with a string that needs to be translated by the lexicon's word index
ruleListByLeftChild(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
ruleListByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
ruleListByRightChild(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
rules() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
rules() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
rulesByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
rulesByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
ruleSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Enables linear rule smoothing during grammar extraction but before grammar compaction.
ruleSmoothingAlpha - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
rulesWithParent() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
rulesWithWord - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon: An array of Lists of rules (IntTaggedWord), indexed by word.
run() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
run() - Method in class edu.stanford.nlp.util.StreamGobbler
runGradientCheck(List<Tree>, IdentityHashMap<Tree, byte[]>) - Method in class edu.stanford.nlp.parser.dvparser.DVParser
runningAverages - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
RuntimeInterruptedException - Exception in edu.stanford.nlp.util: An unchecked version of InterruptedException.
RuntimeInterruptedException() - Constructor for exception edu.stanford.nlp.util.RuntimeInterruptedException
RuntimeInterruptedException(InterruptedException) - Constructor for exception edu.stanford.nlp.util.RuntimeInterruptedException
RuntimeIOException - Exception in edu.stanford.nlp.io: An unchecked version of IOException.
RuntimeIOException() - Constructor for exception edu.stanford.nlp.io.RuntimeIOException: Creates a new exception.
RuntimeIOException(String) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException: Creates a new exception with a message.
RuntimeIOException(Throwable) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException: Creates a new exception with an embedded cause.
RuntimeIOException(String, Throwable) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException: Creates a new exception with a message and an embedded cause.

S

s - Variable in class edu.stanford.nlp.util.StringParsingTask
safeCompile(String, boolean) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern: Creates a pattern from the given string using the default HeadFinder and BasicCategoryFunction.
safeMax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the largest value in a vector of doubles.
safeMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the mean of a vector of doubles.
safeMin(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the largest value in a vector of doubles.
saferL2Norm(C) - Static method in class edu.stanford.nlp.stats.Counters: For counters with large # of entries, this scales down each entry in the sum, to prevent an extremely large sum from building up and overwhelming the max double.
saferL2Normalize(C) - Static method in class edu.stanford.nlp.stats.Counters: L2 normalize a counter, using the "safer" L2 normalizer.
safeStdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the standard deviation of a vector of doubles.
saidMemMessage() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
saidMemMessage() - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
saidMemMessage() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
sample - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Used when you want to generate sample parses instead of finding the best parse.
sample(Counter<T>, Random) - Static method in class edu.stanford.nlp.stats.Counters: Does not assumes c is normalized.
sample(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters: Does not assumes c is normalized.
sample(List<E>, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils
sampleFrom(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon: Samples from the distribution over words with this POS according to the lexicon.
sampleFrom() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon: Samples over words regardless of POS: first samples POS, then samples word according to that POS
sampleFrom() - Method in class edu.stanford.nlp.stats.Distribution: Returns an object sampled from the distribution using Math.random().
sampleFrom(Random) - Method in class edu.stanford.nlp.stats.Distribution: Returns an object sampled from the distribution using a self-provided random number generator.
sampleFromDistribution(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Samples from the distribution over values 0 through d.length given by d.
sampleFromDistribution(double[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath: Samples from the distribution over values 0 through d.length given by d.
sampleFromDistribution(float[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath: Samples from the distribution over values 0 through d.length given by d.
samplePathsFromGraph(int) - Method in class edu.stanford.nlp.fsm.TransducerGraph
Sampler<T> - Interface in edu.stanford.nlp.stats: An interace for drawing samples from the label space of an object.
sampleUniformPathFromGraph() - Method in class edu.stanford.nlp.fsm.TransducerGraph: for testing only.
sampleWithoutReplacement(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath: Fills the array with sample from 0 to numArgClasses-1 without replacement.
sampleWithoutReplacement(int[], int, Random) - Static method in class edu.stanford.nlp.math.ArrayMath: Fills the array with sample from 0 to numArgClasses-1 without replacement.
sampleWithoutReplacement(Collection<E>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils: Samples without replacement from a collection.
sampleWithoutReplacement(Collection<E>, int, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils: Samples without replacement from a collection, using your own Random number generator.
sampleWithReplacement(Collection<E>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils: Samples with replacement from a collection
sampleWithReplacement(Collection<E>, int, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils: Samples with replacement from a collection, using your own Random number generator
save(DataOutputStream) - Method in class edu.stanford.nlp.ling.WordTag
save(DataOutputStream) - Method in class edu.stanford.nlp.util.Pair: Write a string representation of a Pair to a DataStream.
save2DCounter(TwoDimensionalCounter<T1, T2>, String) - Static method in class edu.stanford.nlp.stats.Counters
save2DCounterSorted(TwoDimensionalCounterInterface<T1, T2>, String) - Static method in class edu.stanford.nlp.stats.Counters
saveConfig(OutputStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig: Serialize the TaggerConfig.
saveCounter(Counter<E>, OutputStream) - Static method in class edu.stanford.nlp.stats.Counters: Saves a Counter as one key/count pair per line separated by white space to the given OutputStream.
saveCounter(Counter<E>, String) - Static method in class edu.stanford.nlp.stats.Counters: Saves a Counter to a text file.
saveModel(String) - Method in class edu.stanford.nlp.parser.dvparser.DVParser
saveOutput() - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Opens a dialog and saves the output of the parser on the current text.
saveOutput(String) - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Saves the results of applying the parser to the current text to the specified filename.
saveParserToSerialized(String) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Saves the parser defined by pd to the given filename.
saveParserToTextFile(String) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: Saves the parser defined by pd to the given filename.
saveToFilename(String) - Method in class edu.stanford.nlp.util.DeltaIndex
saveToFilename(String) - Method in class edu.stanford.nlp.util.HashIndex
saveToFilename(String) - Method in interface edu.stanford.nlp.util.Index: Save the contents of this index into a file.
saveToWriter(Writer) - Method in class edu.stanford.nlp.util.DeltaIndex
saveToWriter(Writer) - Method in class edu.stanford.nlp.util.HashIndex: This saves the contents of this index into string form, as part of a larger text-serialization.
saveToWriter(Writer) - Method in interface edu.stanford.nlp.util.Index: Save the contents of this index into string form, as part of a larger text-serialization.
saveTrees(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
scale(C, double) - Static method in class edu.stanford.nlp.stats.Counters: Returns a new Counter which is scaled by the given scale factor.
scale(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters: Creates a new TwoDimensionalCounter where all the counts are scaled by d.
scaleOpt - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
scalingForInit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: How much to scale certain parameters when initializing models.
score(Tree) - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker.Query
score(Tree, IdentityHashMap<Tree, SimpleMatrix>) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
score(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
score(int, int, int, int, boolean, int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
score(IntTaggedWord, int, double, double, double, String) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Get the score of this word with this tag (as an IntTaggedWord) at this location.
score(IntTaggedWord, int, double, double, double, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: Currently we don't consider loc or the other parameters in determining score in the default implementation; only English uses them.
score(IntTaggedWord, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
score - Variable in class edu.stanford.nlp.parser.lexparser.BinaryRule: Score should be a log probability
score() - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexicon
score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
score(IntTaggedWord, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
score(IntDependency) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar: Score a IntDependency according to the grammar.
score(int, int, int, int, boolean, int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar: Score a dependency according to the grammar, where the elements of the dependency are represented in separate paramters.
score(IntTaggedWord, int, double, double, double, String) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
score(IntTaggedWord, int, double, double, double, String) - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
score(IntTaggedWord, String) - Method in class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel: Calculate the log-prob score of a particular TaggedWord in the unknown word model.
score() - Method in class edu.stanford.nlp.parser.lexparser.Item
score(IntTaggedWord, int, String, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: Get the score of this word with this tag (as an IntTaggedWord) at this loc.
score(Tree) - Method in interface edu.stanford.nlp.parser.lexparser.RerankerQuery
score() - Method in interface edu.stanford.nlp.parser.lexparser.Rule
score - Variable in class edu.stanford.nlp.parser.lexparser.UnaryRule: Score should be a log probability
score() - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
score(IntTaggedWord, int, double, double, double, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel: Get the score of this word with this tag (as an IntTaggedWord) at this loc.
score() - Method in class edu.stanford.nlp.trees.Constituent: access score
score - Variable in class edu.stanford.nlp.trees.DeepTree
score(List<Collection<TypedDependency>>) - Method in class edu.stanford.nlp.trees.DependencyScoring: Score system typed dependencies
score() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent: Returns the score associated with the current node, or Nan if there is no score
score() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Returns the score associated with the current node, or Nan if there is no score
score() - Method in class edu.stanford.nlp.trees.Tree: Returns the score associated with the current node, or NaN if there is no score.
score() - Method in interface edu.stanford.nlp.util.Scored
score() - Method in class edu.stanford.nlp.util.ScoredObject
scoreAll(Collection<IntDependency>) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
scoreBinarizedTree(Tree, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
Scored - Interface in edu.stanford.nlp.util: Scored: This is a simple interface that says that an object can answer requests for the score, or goodness of the object.
ScoredComparator - Class in edu.stanford.nlp.util: ScoredComparator allows one to compare Scored things.
scoreDependencies() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
ScoredObject<T> - Class in edu.stanford.nlp.util: Wrapper class for holding a scored object.
ScoredObject(T, double) - Constructor for class edu.stanford.nlp.util.ScoredObject
scoreGT(String) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
scoreNonBinarizedTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown)
scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel: Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown)
scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel: Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown)
scorer - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
Scorer - Interface in edu.stanford.nlp.parser.lexparser: Interface for supporting A* scoring.
scoreRule(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
scoreRule(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
scoreTB(int, int, int, int, boolean, int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
scoreTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
scoreTB(IntDependency) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar: Score an IntDependency in the reduced tagBin space according to the grammar.
scoreTB(int, int, int, int, boolean, int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar: Score a dependency according to the grammar, where the elements of the dependency are represented in separate paramters.
scoreTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Score a tag binned dependency.
scrollBack() - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Scrolls back one sentence in the text
scrollForward() - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Scrolls forward one sentence in the text
SEARCH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
searchAndReplace(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
second - Variable in class edu.stanford.nlp.util.Pair: Direct access is deprecated.
second() - Method in class edu.stanford.nlp.util.Pair
second - Variable in class edu.stanford.nlp.util.Triple
second() - Method in class edu.stanford.nlp.util.Triple
secondKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
secondKeySet() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
secondKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
secondKeySet() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
secondKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
seenCounter - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Records the number of times word/tag pair was seen in training data.
segMarker - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
segment(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
segment(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
segment - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
segment(String) - Method in interface edu.stanford.nlp.process.WordSegmenter
segmentationMarker - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
segmenterClass - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
segmentMarkov - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
selectivePostSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
selectivePostSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
selectiveSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Only split the "common high KL divergence" parent categories....
selectiveSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
SEMANTIC_DEPENDENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "semantic dependent" grammatical relation has been introduced as a supertype for the controlling subject relation.
SEMANTIC_DEPENDENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "semantic dependent" grammatical relation.
SemanticGraph - Class in edu.stanford.nlp.semgraph: Represents a semantic graph of a sentence or document, with IndexedWord objects for nodes.
SemanticGraph() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
SemanticGraph(SemanticGraph) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph: Returns a new SemanticGraph which is a copy of the supplied SemanticGraph.
SemanticGraph(SemanticGraph, Map<IndexedWord, IndexedWord>) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph: Copies a the current graph, but also sets the mapping from the old to new graph.
SemanticGraph(Collection<TypedDependency>) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph: This is the constructor used by the parser.
SemanticGraph(Collection<TypedDependency>, String, int) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
SemanticGraph(Collection<TypedDependency>, String, int, boolean) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
SemanticGraphCoreAnnotations - Class in edu.stanford.nlp.semgraph: This class collects CoreAnnotations that are used in working with a SemanticGraph.
SemanticGraphCoreAnnotations() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations
SemanticGraphCoreAnnotations.BasicDependenciesAnnotation - Class in edu.stanford.nlp.semgraph: The CoreMap key for getting the syntactic dependencies of a sentence.
SemanticGraphCoreAnnotations.BasicDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.BasicDependenciesAnnotation
SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation - Class in edu.stanford.nlp.semgraph: The CoreMap key for getting the syntactic dependencies of a sentence.
SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation - Class in edu.stanford.nlp.semgraph: The CoreMap key for getting the syntactic dependencies of a sentence.
SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
SemanticGraphEdge - Class in edu.stanford.nlp.semgraph: Represents an edge in the dependency graph.
SemanticGraphEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphEdge
SemanticGraphEdge(SemanticGraphEdge) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphEdge
SemanticGraphFactory - Class in edu.stanford.nlp.semgraph: Refactoring of static makers of SemanticGraphs in order to simplify the SemanticGraph class.
SemanticGraphFormatter - Class in edu.stanford.nlp.semgraph: Defines a class for pretty-printing SemanticGraphs.
SemanticGraphFormatter() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphFormatter
SemanticGraphFormatter(int, int, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphFormatter
SemanticHeadFinder - Class in edu.stanford.nlp.trees: Implements a 'semantic head' variant of the the HeadFinder found in Michael Collins' 1999 thesis.
SemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
SemanticHeadFinder(boolean) - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
SemanticHeadFinder(TreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder: Create a SemanticHeadFinder.
sendQuit() - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient: Tell the server to exit
Sentence - Class in edu.stanford.nlp.ling: Sentence holds a couple utility methods for lists.
sentence - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
sentenceFinalPunctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a filter that accepts a String that is a sentence end punctuation tag, and rejects everything else.
sentenceFinalPunctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a filter that accepts a String that is a sentence end punctuation tag, and rejects everything else.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack: Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack: Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack: Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack: Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a String array of sentence final punctuation words for this treebank/language.
sentIndex() - Method in class edu.stanford.nlp.ling.CoreLabel
sentIndex() - Method in interface edu.stanford.nlp.ling.HasIndex
SerializableFunction<T1,T2> - Interface in edu.stanford.nlp.process: This interface is a conjunction of Function and Serializable, which is a bad idea from the perspective of the type system, but one that seems more palatable than other bad ideas until java's type system is flexible enough to support type conjunctions.
serializeCounter(Counter<T>, String) - Static method in class edu.stanford.nlp.stats.Counters
set(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.util.ArrayCoreMap: Associates the given value with the given type for future calls to get.
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.util.HashableCoreMap: Sets the value associated with the given key; if the the key is one of the hashable keys, throws an exception.
set(int, int) - Method in class edu.stanford.nlp.util.IntTuple
set(double) - Method in class edu.stanford.nlp.util.MutableDouble
set(int) - Method in class edu.stanford.nlp.util.MutableInteger
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in interface edu.stanford.nlp.util.TypesafeMap: Associates the given value with the given type for future calls to get.
setAfter(String) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the whitespace String after the word.
setAfter(String) - Method in interface edu.stanford.nlp.ling.HasContext: Set the whitespace String after the word.
setAllowEmptySentences(boolean) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
setAltTag(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
setAttr(String, String) - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
setBefore(String) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the whitespace String before the word.
setBefore(String) - Method in interface edu.stanford.nlp.ling.HasContext: Set the whitespace String before the word.
setBeginPosition(int) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the beginning character offset for the label.
setBeginPosition(int) - Method in interface edu.stanford.nlp.ling.HasOffset: Set the beginning character offset for the label.
setBeginPosition(int) - Method in class edu.stanford.nlp.ling.StringLabel
setCapacity(int) - Method in class edu.stanford.nlp.util.ArrayCoreMap
setCategory(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
setCategory(String) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the category value for the label (if one is stored).
setCategory(String) - Method in interface edu.stanford.nlp.ling.HasCategory: Set the category value for the label (if one is stored).
setCategoryWordTag(String, String, String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
setChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree: Replaces the ith child of this with the tree t.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Sets the children of this Tree.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.SimpleTree: Sets the children of this Tree.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.Tree: Set the children of this node to be the children given in the array.
setChildren(List<? extends Tree>) - Method in class edu.stanford.nlp.trees.Tree: Set the children of this tree node to the given list.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Sets the children of this TreeGraphNode.
setChildren(List<? extends Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Set the children of this tree node to the given list.
setColorChannels(boolean) - Method in class edu.stanford.nlp.util.logging.OutputHandler
setConstraints(List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
setConstraints(List<ParserConstraint>) - Method in interface edu.stanford.nlp.parser.lexparser.ParserQuery
setConstraints(List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
setCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter: Sets the count for the given key to be the given value.
setCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter: Sets the count for the given key to be the given value.
setCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter: Sets the current count for the given key.
setCount(E, String) - Method in class edu.stanford.nlp.stats.IntCounter
setCount(E, double) - Method in class edu.stanford.nlp.stats.IntCounter
setCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
setCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
setCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
setCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
setCounter(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter: replace the counter for K1-index o by new counter c
setCounter(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter: replace the counter for K1-index o by new counter c
setCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter: Sets the current count for each of the given keys.
setDefaultReturnValue(double) - Method in class edu.stanford.nlp.stats.ClassicCounter: Sets the default return value.
setDefaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.Counter: Sets the default return value.
setDefaultReturnValue(double) - Method in class edu.stanford.nlp.stats.IntCounter
setDefaultReturnValue(int) - Method in class edu.stanford.nlp.stats.IntCounter
setDep(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TypedDependency
setDeterminism(boolean) - Method in class edu.stanford.nlp.fsm.TransducerGraph
setDocID(String) - Method in class edu.stanford.nlp.ling.CoreLabel
setDocID(String) - Method in interface edu.stanford.nlp.ling.HasIndex
setDoSelectiveSplit(boolean) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
setDoSelectiveSplit(boolean) - Method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer: If this is set to true, then the binarizer will choose selectively whether or not to split states based on how many counts the states had in a previous run.
setDotWeightingInverted(boolean) - Method in class edu.stanford.nlp.fsm.TransducerGraph
setEdge(int, LatticeEdge) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
setEdge(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
setElementDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor: Only read text from inside these XML elements if in XML mode.
setEnd(int) - Method in class edu.stanford.nlp.trees.Constituent: set end node.
setEnd(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent: set end node.
setEndNode(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
setEndPosition(int) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the ending character offset of the label (or -1 if none).
setEndPosition(int) - Method in interface edu.stanford.nlp.ling.HasOffset: Set the ending character offset of the label (or -1 if none).
setEndPosition(int) - Method in class edu.stanford.nlp.ling.StringLabel
setEolString(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter: Set the String returned when the inner tokenizer returns an end-of-line token.
setEPS(double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
setError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
setEscaper(Function<List<HasWord>, List<HasWord>>) - Method in class edu.stanford.nlp.process.DocumentPreprocessor: Set an escaper.
setEvalGF(boolean) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
setEvaluateGrammaticalFunctions(boolean) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Sets whether to consider grammatical functions in evaluation
setEvaluateGrammaticalFunctions(boolean) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: If evalGFs = true, then the evaluation of parse trees will include evaluation on grammatical functions.
setEvaluators(int, Evaluator[]) - Method in interface edu.stanford.nlp.optimization.HasEvaluators
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
setExtra() - Method in class edu.stanford.nlp.trees.TypedDependency
setFeatureValue(String, String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
setFileChooser(JFileChooser) - Method in class edu.stanford.nlp.io.ui.OpenPageDialog: Sets the file chooser used by the Browse button
setFirst(T1) - Method in class edu.stanford.nlp.util.Pair
setFirst(T1) - Method in class edu.stanford.nlp.util.Triple
setFromString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag: Set everything by reversing a toString operation.
setFromString(String) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the contents of this label to this String representing the complete contents of the label.
setFromString(String) - Method in interface edu.stanford.nlp.ling.Label: Set the contents of this label to this String representing the complete contents of the label.
setFromString(String) - Method in class edu.stanford.nlp.ling.StringLabel: Set the label from a String.
setFromString(String) - Method in class edu.stanford.nlp.ling.TaggedWord: Sets a TaggedWord from decoding the String passed in.
setFromString(String, String) - Method in class edu.stanford.nlp.ling.TaggedWord
setFromString(String) - Method in class edu.stanford.nlp.ling.ValueLabel
setFromString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag: The String is divided according to the divider character (usually, "/").
setFromString(String, String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
setFromString(String) - Method in class edu.stanford.nlp.ling.WordTag: Sets a WordTag from decoding the String passed in.
setFromString(String, String) - Method in class edu.stanford.nlp.ling.WordTag
setFromString(String) - Method in class edu.stanford.nlp.trees.Constituent: Make a new label with this String as the "name", perhaps by doing some appropriate decoding of the string.
setFromString(String) - Method in class edu.stanford.nlp.trees.LabeledConstituent
setFromString(String) - Method in class edu.stanford.nlp.trees.Tree
setGfCharacter(char) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
setGfCharacter(char) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Sets the grammatical function indicating character to gfCharacter.
setGlobal(Interner<Object>) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner: For supplying a new instance for the global methods to use.
setGlobal(Interner<Object>) - Static method in class edu.stanford.nlp.util.Interner: For supplying a new instance for the global methods to use.
setGoal(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
setGov(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TypedDependency
setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer
setIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
setIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
setIndex(int) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Set the index for the current node.
setInput(IN) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
setInputEncoding(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Sets the input encoding.
setInputEncoding(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
setInsertNPinPP(boolean) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
setKeepOriginalText(boolean) - Method in class edu.stanford.nlp.ling.DocumentReader: Sets whether created documents should store their source text along with tokenized words.
setLabel(L) - Method in class edu.stanford.nlp.ling.BasicDocument: Removes all currently assigned labels for this Document then adds the given label.
setLabel(String) - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
setLabel(Label) - Method in class edu.stanford.nlp.trees.Constituent: Sets the label associated with the current Constituent, if there is one.
setLabel(Label) - Method in interface edu.stanford.nlp.trees.Labeled: Sets the label associated with this object.
setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledConstituent
setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Sets the label associated with the current node, if there is one.
setLabel(Label) - Method in class edu.stanford.nlp.trees.Tree: Sets the label associated with the current node, if there is one.
setLabel(CoreLabel) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Sets the label associated with the current node.
setLabels(Collection<L>) - Method in class edu.stanford.nlp.ling.BasicDocument: Removes all currently assigned labels for this Document then adds all of the given labels.
setLabels(Collection<Label>) - Method in class edu.stanford.nlp.trees.Constituent
setLabels(Collection<Label>) - Method in interface edu.stanford.nlp.trees.Labeled: Sets the labels associated with this object.
setLabels(Collection<Label>) - Method in class edu.stanford.nlp.trees.Tree
setLanguage(int) - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Sets the language used by the ParserPanel to tokenize, parse, and display sentences.
setLeaveGF(boolean) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
setLeaveGF(boolean) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
setLemma(String) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the lemma value for the label (if one is stored).
setLemma(String) - Method in interface edu.stanford.nlp.ling.HasLemma: Set the lemma value for the label (if one is stored).
setLemma(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
setLex(Lexicon) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
setLexicon(Lexicon) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
setLexicon(Lexicon) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar: Set the Lexicon, which the DependencyGrammar may use in scoring P(w|t).
setLimitedGF(boolean) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
setM(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
setMap(Map<K1, V1>) - Method in class edu.stanford.nlp.util.MapFactory: A method to get a parameterized (genericized) map out.
setMap(Map<K1, V1>, int) - Method in class edu.stanford.nlp.util.MapFactory
setMarkLineBreaks(boolean) - Method in class edu.stanford.nlp.process.StripTagsProcessor: Sets whether the output of the processor will contain newline words ("\n") at the end of block-level tags.
setMaxBlockTime(long) - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper: Maximum amount of time to block on a call to put() in milliseconds.
setMaxFontSize(int) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
setMinFontSize(int) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
setMissingTags(CoreMap, Tree) - Static method in class edu.stanford.nlp.pipeline.ParserAnnotatorUtils: Set the tags of the original tokens and the leaves if they aren't already set
setNER(String) - Method in class edu.stanford.nlp.ling.CoreLabel
setObject(T) - Method in class edu.stanford.nlp.util.ScoredObject
setOldOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
setOneSentence(boolean) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
setOption(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options: Set an option based on a String array in the style of commandline flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Set language-specific options according to flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams: Some options for setOptionFlag:
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Set language-specific options according to flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams: Set language-specific options according to flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams: Set language-specific options according to flags.
setOptionFlag(String[], int) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Set a language-specific option according to command-line flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams: Set language-specific options according to flags.
setOptionFlags(String...) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser: This will set options to the parser, in a way exactly equivalent to passing in the same sequence of command-line arguments.
setOptionFlags(String...) - Method in interface edu.stanford.nlp.parser.ViterbiParserWithOptions: This will set options to a parser, in a way generally equivalent to passing in the same sequence of command-line arguments.
setOptionOrWarn(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options: Set an option based on a String array in the style of commandline flags.
setOptions(Properties) - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset
setOptions(String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory: options: A comma-separated list of options
setOptions(Properties) - Method in class edu.stanford.nlp.international.french.pipeline.FTBDataset
setOptions(String) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory: options: A comma-separated list of options
setOptions(String...) - Method in class edu.stanford.nlp.parser.lexparser.Options: Set options based on a String array in the style of commandline flags.
setOptions(String[], int, int) - Method in class edu.stanford.nlp.parser.lexparser.Options: Set options based on a String array in the style of commandline flags.
setOptions(String) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
setOptions(String) - Method in interface edu.stanford.nlp.process.TokenizerFactory
setOptions(String) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
setOptions(Properties) - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
setOptions(Properties) - Method in interface edu.stanford.nlp.trees.treebank.Dataset: Sets options for a dataset.
setOptions(String) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
setOptionsOrWarn(String...) - Method in class edu.stanford.nlp.parser.lexparser.Options: Set options based on a String array in the style of commandline flags.
setOptionsOrWarn(String[], int, int) - Method in class edu.stanford.nlp.parser.lexparser.Options: Set options based on a String array in the style of commandline flags.
setOriginalText(String) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the String which is the original character sequence of the token.
setOriginalText(String) - Method in interface edu.stanford.nlp.ling.HasContext: Set the String which is the original character sequence of the token.
setOutput(OUT) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
setOutputEncoding(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Sets the output encoding.
setOutputEncoding(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
setParent(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Set the parent for the current node.
setPatternString(String) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
setPrintFormat(String) - Static method in class edu.stanford.nlp.ling.IndexedWord
setProperties(Properties) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
setReader(Reader) - Method in class edu.stanford.nlp.ling.DocumentReader: Sets the reader from which to read and create documents.
setReln(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.TypedDependency
setRobustOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
setRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
setRoot(TsurgeonPatternRoot) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
setRoots(Collection<IndexedWord>) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
setRulesForTrainingSet(List<Tree>, Map<Tree, byte[]>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
Sets - Class in edu.stanford.nlp.util: Utilities for sets.
setScore(double) - Method in class edu.stanford.nlp.trees.Constituent: Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.trees.DeepTree
setScore(double) - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent: Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.trees.Tree: Sets the score associated with the current node, if there is one.
setScore(double) - Method in class edu.stanford.nlp.util.ScoredObject
setSecond(T2) - Method in class edu.stanford.nlp.util.Pair
setSecond(T2) - Method in class edu.stanford.nlp.util.Triple
setSentenceBoundaryToDiscard(Set<String>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
setSentenceDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor: Make the processor assume that the document is already delimited by the supplied parameter.
setSentenceFinalPuncWords(String[]) - Method in class edu.stanford.nlp.process.DocumentPreprocessor: Sets the end-of-sentence delimiters.
setSentIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
setSentIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
setSource(int) - Method in class edu.stanford.nlp.util.IntUni
setSourceNode(NODE) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
setSpans() - Method in class edu.stanford.nlp.trees.Tree: Assign a SpanAnnotation on each node of this tree.
setStart(int) - Method in class edu.stanford.nlp.trees.Constituent: set start node.
setStart(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent: set start node.
setStartNode(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
setStatus(String) - Method in class edu.stanford.nlp.parser.ui.ParserPanel: Sets the status text at the bottom of the ParserPanel.
setTag(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
setTag(String) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the tag value for the label (if one is stored).
setTag(String) - Method in interface edu.stanford.nlp.ling.HasTag: Set the tag value for the label (if one is stored).
setTag(Label) - Method in class edu.stanford.nlp.ling.LabeledWord
setTag(String) - Method in class edu.stanford.nlp.ling.Tag
setTag(String) - Method in class edu.stanford.nlp.ling.TaggedWord
setTag(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag: Set the tag for the Label.
setTag(String) - Method in class edu.stanford.nlp.ling.WordTag
setTagDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor: Split tags from tokens.
setTargetNode(NODE) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
setTerminateOnEvalImprovementNumOfEpoch(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
setThird(T3) - Method in class edu.stanford.nlp.util.Triple
setTitle(String) - Method in class edu.stanford.nlp.ling.BasicDocument: Sets the title of this Document to the given title.
setTokenizerFactory(TokenizerFactory<Word>) - Method in class edu.stanford.nlp.ling.BasicDocument: Sets the tokenizerFactory to be used by BasicDocument.parse(String).
setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Method in class edu.stanford.nlp.ling.DocumentReader: Sets the tokenizer used to chop up text into words for the documents.
setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Method in class edu.stanford.nlp.process.DocumentPreprocessor: Sets the factory from which to produce a Tokenizer.
setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
setTOL(double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
setToLogDeterministic(float[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
setToLogDeterministic(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
setTree(Tree) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
setTree(Tree) - Method in class edu.stanford.nlp.trees.DeepTree
setTreeGraph(TreeGraph) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Set pointer to the TreeGraph of which this node is a part.
setUnknownLevel(int) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
setUnknownLevel(int) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
setUnknownLevel(int) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel: One unknown word model may allow different options to be set; for example, several models of unknown words for a given language could be included in one class.
setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
setUnknownWordModel(UnknownWordModel) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
setup(File, String...) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
setup(File, String...) - Method in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
setup(File, String...) - Method in class edu.stanford.nlp.international.arabic.pipeline.UniversalPOSMapper
setup(File, String...) - Method in class edu.stanford.nlp.trees.treebank.DefaultMapper
setup(File, String...) - Method in interface edu.stanford.nlp.trees.treebank.Mapper: Perform initialization prior to the first call to map.
setValue(String) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the value for the label (if one is stored).
setValue(String) - Method in interface edu.stanford.nlp.ling.Label: Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.ling.StringLabel: Set the value for the label.
setValue(String) - Method in class edu.stanford.nlp.ling.ValueLabel: Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag: Set the value for the Label.
setValue(String) - Method in class edu.stanford.nlp.ling.WordTag: Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.trees.Constituent: Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.trees.Tree
setVectors(IdentityHashMap<Tree, SimpleMatrix>) - Method in class edu.stanford.nlp.trees.DeepTree
setWeight(double) - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
setWord(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
setWord(String) - Method in class edu.stanford.nlp.ling.CoreLabel: Set the word value for the label.
setWord(String) - Method in interface edu.stanford.nlp.ling.HasWord: Set the word value for the label (if one is stored).
setWord(String) - Method in class edu.stanford.nlp.ling.Word
setWord(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
setWord(String) - Method in class edu.stanford.nlp.ling.WordTag
SGML - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
shapeOf(CharSequence, boolean, boolean) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
shiftLeft() - Method in class edu.stanford.nlp.util.IntTuple
shortNameToGRel - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
shortNameToGRel - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
shortValue() - Method in class edu.stanford.nlp.util.MutableDouble
shortValue() - Method in class edu.stanford.nlp.util.MutableInteger
show(String, Point) - Method in class edu.stanford.nlp.ui.JarFileChooser
show() - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels: Shows all of these channels.
showAll() - Method in class edu.stanford.nlp.util.logging.VisibilityHandler: Show all of the channels.
showAllChannels() - Static method in class edu.stanford.nlp.util.logging.Redwood: Show all channels.
showChannels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood: Show multiple channels.
showListSelectionDialog(List<String>, Point) - Method in class edu.stanford.nlp.ui.JarFileChooser
showOnlyChannels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood: Show only the given channel.
showOnlyChannels(Object[]) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Show only the following channels.
shuffle(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
shuffle(int[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer
siblings(Tree) - Method in class edu.stanford.nlp.trees.Tree: Returns the siblings of this Tree node.
sideCounters(String, List, List, Map) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
sigLevelByApproxRand(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Computes the significance level by approximate randomization, using a default value of 1000 iterations.
sigLevelByApproxRand(double[], double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath: Takes a pair of arrays, A and B, which represent corresponding outcomes of a pair of random variables: say, results for two different classifiers on a sequence of inputs.
sigLevelByApproxRand(int[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
sigLevelByApproxRand(int[], int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
sigLevelByApproxRand(boolean[], boolean[]) - Static method in class edu.stanford.nlp.math.ArrayMath
sigLevelByApproxRand(boolean[], boolean[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
SIGMA_SQUARED - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
sigmoid(double) - Static method in class edu.stanford.nlp.math.SloppyMath: Compute the sigmoid function with mean zero.
sigmoid(double) - Static method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler: Signal the end of a track, i.e.
signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.OutputHandler: Signal the end of a track, i.e.
signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler: Signal the end of a track, i.e.
signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler: Signal the end of a track, i.e.
signalShutdown() - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
signalShutdown() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler: Signal the start of a track, i.e.
signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.OutputHandler: Signal the start of a track, i.e.
signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler: Signal the start of a track, i.e.
signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler: Signal the start of a track, i.e.
SILENCE - Static variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
simpleBinarizedLabels - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When binarizing trees, don't annotate the labels with anything
SimpleConstituent - Class in edu.stanford.nlp.trees: A SimpleConstituent object defines a generic edge in a graph.
SimpleConstituent() - Constructor for class edu.stanford.nlp.trees.SimpleConstituent: Create an empty SimpleConstituent object.
SimpleConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.SimpleConstituent: Create a SimpleConstituent object with given values.
SimpleConstituentFactory - Class in edu.stanford.nlp.trees: A ConstituentFactory acts as a factory for creating objects of class Constituent, or some descendent class.
SimpleConstituentFactory() - Constructor for class edu.stanford.nlp.trees.SimpleConstituentFactory
simpleGoodTuring(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution: Creates a Distribution from the given counter using Gale & Sampsons' "simple Good-Turing" smoothing.
SimpleGoodTuring - Class in edu.stanford.nlp.stats: Simple Good-Turing smoothing, based on code from Sampson, available at: ftp://ftp.informatics.susx.ac.uk/pub/users/grs2/SGT.c
See also http://www.grsampson.net/RGoodTur.html
SimpleGoodTuring(int[], int[]) - Constructor for class edu.stanford.nlp.stats.SimpleGoodTuring: Each instance of this class encapsulates the computation of the smoothing for one probability distribution.
SimpleTree - Class in edu.stanford.nlp.trees: A SimpleTree is a minimal concrete implementation of an unlabeled, unscored Tree.
SimpleTree() - Constructor for class edu.stanford.nlp.trees.SimpleTree: Create an empty parse tree.
SimpleTree(Label) - Constructor for class edu.stanford.nlp.trees.SimpleTree: Create parse tree with given root and null daughters.
SimpleTree(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.SimpleTree: Create parse tree with given root and array of daughter trees.
SimpleTreeFactory - Class in edu.stanford.nlp.trees: A SimpleTreeFactory acts as a factory for creating objects of class SimpleTree.
SimpleTreeFactory() - Constructor for class edu.stanford.nlp.trees.SimpleTreeFactory: Creates a new TreeFactory.
simplifyConstituents(TreebankLanguagePack, Set<Constituent>) - Static method in class edu.stanford.nlp.parser.metrics.TreeSpanScoring
sisterAnnotate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Selective Sister annotation.
SisterAnnotationStats - Class in edu.stanford.nlp.parser.lexparser: See what sister annotation helps in treebank, based on support and KL divergence.
SisterAnnotationStats() - Constructor for class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
sisterCounters(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
sisterSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
sisterSplitLevel - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Set the support * KL cutoff level (1-4) for sister splitting -- don't use it, as far as we can tell so far
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Returns the splitting strings used for selective splits.
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
sisterSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
sisterSplitters() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Returns the splitting strings used for selective splits.
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
size() - Method in class edu.stanford.nlp.objectbank.ObjectBank: Can be slow.
size() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
size() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
size() - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns the number of entries stored in this counter.
size() - Method in interface edu.stanford.nlp.stats.Counter: Returns the number of entries stored in this counter.
size() - Method in class edu.stanford.nlp.stats.IntCounter
size() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
size() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
size() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
size() - Method in class edu.stanford.nlp.trees.Constituent: Return the length of a Constituent
size() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
size() - Method in class edu.stanford.nlp.trees.MemoryTreebank: Returns the size of the Treebank.
size() - Method in class edu.stanford.nlp.trees.Tree: Returns the number of nodes the tree contains.
size() - Method in class edu.stanford.nlp.trees.Treebank: Returns the size of the Treebank.
size() - Method in class edu.stanford.nlp.util.ArrayCoreMap: Returns the number of elements in this map.
size() - Method in class edu.stanford.nlp.util.ArrayHeap: Get the number of elements in the heap.
size() - Method in class edu.stanford.nlp.util.ArrayMap
size() - Method in class edu.stanford.nlp.util.ArraySet: Returns size of set.
size() - Method in class edu.stanford.nlp.util.Beam
size() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Get the number of elements in the queue.
size() - Method in class edu.stanford.nlp.util.CollectionValuedMap: The number of keys in this map.
size() - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
size() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
size() - Method in class edu.stanford.nlp.util.DeltaIndex
size() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Number of elements in the queue.
size() - Method in class edu.stanford.nlp.util.HashIndex: Returns the number of indexed objects.
size() - Method in interface edu.stanford.nlp.util.Heap: The number of elements currently in the heap.
size() - Method in class edu.stanford.nlp.util.IdentityHashSet: Returns the number of elements in this set (its cardinality).
size() - Method in interface edu.stanford.nlp.util.Index: Returns the number of indexed objects.
size() - Method in class edu.stanford.nlp.util.Interner
size() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
size() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
size() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
size() - Method in interface edu.stanford.nlp.util.TypesafeMap: Returns the number of keys in the map.
sizeOuterMap() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
skewDivergence(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Calculates the skew divergence between the two counters.
skipRoot() - Method in class edu.stanford.nlp.trees.Tree: Returns first child if it is single and if the label at the current node is either "ROOT" or empty.
SloppyMath - Class in edu.stanford.nlp.math: The class SloppyMath contains methods for performing basic numeric operations.
slurpFile(File) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text in the given File.
slurpFile(File, String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text in the given File.
slurpFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text in the given file with the given encoding.
slurpFile(String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text in the given file
slurpFileNoExceptions(String, String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text in the given file with the given encoding.
slurpFileNoExceptions(File) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text in the given File.
slurpFileNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text in the given File.
slurpGBFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
slurpGBFileNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
slurpGBURL(URL) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text at the given URL.
slurpGBURLNoExceptions(URL) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text at the given URL.
slurpGZippedFile(String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text in the given File.
slurpGZippedFile(File) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text in the given File.
slurpReader(Reader) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text from the given Reader.
slurpURL(URL, String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text at the given URL.
slurpURL(URL) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text at the given URL.
slurpURL(String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text at the given URL.
slurpURLNoExceptions(URL, String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text at the given URL.
slurpURLNoExceptions(URL) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text at the given URL.
slurpURLNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns all the text at the given URL.
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Have tags changeable based on statistics on word types having various taggings.
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions: Smarter smoothing for rare words.
smooth_aPTW_aPT - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
smooth_aT_hTd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
smooth_aT_hTWd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Bayesian m-estimate prior for aT given hTWd against base distribution of aT given hTd.
smooth_aTW_aT - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
smooth_aTW_hTd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
smooth_aTW_hTWd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Bayesian m-estimate prior for aTW given hTWd against base distribution of aTW given hTd.
smooth_stop - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
smoothing - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: TODO wsg2011: This is the old grammar smoothing parameter that no longer does anything in the parser.
smoothInUnknownsThreshold - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon: If a word has been seen more than this many times, then relative frequencies of tags are used for POS assignment; if not, they are smoothed with tag priors.
smoothInUnknownsThreshold - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions: Words more common than this are tagged with MLE P(t|w).
softmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
sorted(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Return the items of an Iterable as a sorted list.
sorted(Iterable<T>, Comparator<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Return the items of an Iterable as a sorted list.
sortedEntries(Collection<Map.Entry<K, V>>) - Static method in class edu.stanford.nlp.util.Maps: Sorts a list of entries.
sortedEntries(Map<K, V>) - Static method in class edu.stanford.nlp.util.Maps: Returns a List of entries in the map, sorted by key.
sortedIfPossible(Collection<T>) - Static method in class edu.stanford.nlp.util.ErasureUtils
sortIntoBlocks(Collection) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
sourceBG() - Method in interface edu.stanford.nlp.parser.lexparser.GrammarProjection
sourceNode - Variable in class edu.stanford.nlp.fsm.TransducerGraph.Arc
sourceUG() - Method in interface edu.stanford.nlp.parser.lexparser.GrammarProjection
spearmanRankCorrelation(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
splice(LogRecordHandler, LogRecordHandler, LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Add a handler to as a child of an existing parent
spliceHandler(LogRecordHandler, LogRecordHandler, LogRecordHandler) - Static method in class edu.stanford.nlp.util.logging.Redwood
spliceHandler(LogRecordHandler, LogRecordHandler, Class<? extends LogRecordHandler>) - Static method in class edu.stanford.nlp.util.logging.Redwood
spliceHandler(Class<? extends LogRecordHandler>, LogRecordHandler, Class<? extends LogRecordHandler>) - Static method in class edu.stanford.nlp.util.logging.Redwood
spliceOut(Filter<Tree>) - Method in class edu.stanford.nlp.trees.Tree: Creates a (partial) deep copy of the tree, where all nodes that the filter does not accept are spliced out.
spliceOut(Filter<Tree>, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree: Creates a (partial) deep copy of the tree, where all nodes that the filter does not accept are spliced out.
split(String) - Static method in class edu.stanford.nlp.util.StringUtils: Splits on whitespace (\\s+).
split(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Splits the given string using the given regex as delimiters.
splitAux - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Make special tags for forms of BE and HAVE (and maybe DO/HELP, etc.).
splitBaseNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Mark base NPs.
splitBaseNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark base NPs.
splitBetas() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor: Before each iteration of splitting states, we have tables of betas which correspond to the transitions between different substates.
splitCC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Provide annotation of conjunctions.
splitChar - Variable in class edu.stanford.nlp.process.WordToTaggedWordProcessor: The char that we will split on.
splitCount - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: If we are predicting splits, we loop this many times
splitFilter - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
splitIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Annotate prepositions into subcategories.
splitJJCOMP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Put a special tag on 'adjectives with complements'.
splitMoreLess - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Specially mark the comparative/superlative words: less, least, more, most
splitMorphString(String, String) - Static method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification: Returns the lemma as pair.first() and the morph analysis as pair.second().
splitNNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark NNP words as to position in phrase (single, left, right, inside) or subcategorizes NNP(S) as initials or initial/final in NP.
splitNOT - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Annotates forms of "not" specially as tag "NOT".
splitNPADV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Retain NP-ADV annotation.
splitNPNNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark NP-NNP.
splitNPpercent - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark phrases that are headed by %.
splitNPPRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
splitNPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Whether to retain the -TMP functional tag on various phrasal categories.
splitNumNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark "numeric NPs".
splitOnCharWithQuoting(String, char, char, char) - Static method in class edu.stanford.nlp.util.StringUtils: This function splits the String s into multiple Strings using the splitChar.
splitPercent - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark the nouns that are percent signs.
splitPoss - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Give a special tag to NPs which are possessive NPs (end in 's).
splitPPJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: A special test for "such" mainly ("such as Fred").
splitPPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
splitPrePreT - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Mark all pre-preterminals (also does splitBaseNP: don't need both)
splitQuotes - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark quote marks for single vs.
splitRB - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Split modifier (NP, AdjP) adverbs from others.
splitRecombineRate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: If we are predicting splits, we recombine states at this rate every loop
splitRules() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar: Populates the "splitRules" accessor lists using the existing rule lists.
splitRulesWithLC(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
splitRulesWithRC(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
splitSbar - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Split SBAR nodes.
splitSFP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Separate out sentence final punct.
splitSGapped - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark specially S nodes with "gapped" subject (control, raising).
splitSTag - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Mark S/SINV/SQ nodes according to verbal tag.
splitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Set the splitter strings.
SplittingGrammarExtractor - Class in edu.stanford.nlp.parser.lexparser: This class is a reimplementation of Berkeley's state splitting grammar.
SplittingGrammarExtractor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
splitTMP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Retain NP-TMP (or maybe PP-TMP) annotation.
splitTRJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Put a special tag on 'transitive adjectives' with NP complement, like 'due May 15' -- it also catches 'such' in 'such as NP', which may be a good.
splitVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Add (head) tags to VPs.
splitVPNPAgr - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Put enough marking on VP and NP to permit "agreement".
splitXPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
st - Variable in class edu.stanford.nlp.process.TokenizerAdapter
standard() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: The default Redwood configuration, which prints to the console.
standardDeviation(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
standardErrorOfMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
standardize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Standardize values in this array, i.e., subtract the mean and divide by the standard deviation.
start(double, double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
start(double, double[], double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
start - Variable in class edu.stanford.nlp.parser.lexparser.Item
start - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
start - Variable in class edu.stanford.nlp.parser.lexparser.ParserConstraint
start() - Method in class edu.stanford.nlp.trees.Constituent: access start node.
start() - Method in class edu.stanford.nlp.trees.SimpleConstituent: access start node.
start() - Method in class edu.stanford.nlp.util.Timing: Start timer.
start_track(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
startDoing(String) - Static method in class edu.stanford.nlp.util.Timing: Print the start of timing message to stderr and start the timer.
startNode - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
startOfTagMap - Variable in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
startSymbol() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a String which is the first (perhaps unique) start symbol of the treebank, or null if none is defined.
startSymbol() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a String which is the first (perhaps unique) start symbol of the treebank, or null if none is defined.
startSymbolAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Return a filter that accepts a String that is a start symbol of the treebank, and rejects everything else.
startSymbolAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Return a filter that accepts a String that is a start symbol of the treebank, and rejects everything else.
startSymbols() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack: Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack: Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
startSymbols() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
startSymbols() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Returns a String array of treebank start symbols.
startSymbols() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a String array of treebank start symbols.
startThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood: Start a multithreaded logging environment.
startThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
startTime() - Static method in class edu.stanford.nlp.util.Timing: Start (static) timer.
startTrack(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood: Begin a "track;" that is, begin logging at one level deeper.
startTrack(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
state - Variable in class edu.stanford.nlp.parser.lexparser.Item
state - Variable in class edu.stanford.nlp.parser.lexparser.ParserConstraint
state(String, int) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
stateIndex - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
stateIndex - Variable in class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
stateIndex - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
stateIndex - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
stateIndex - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
STDERR - Static variable in class edu.stanford.nlp.util.logging.Redwood
STDERR - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
stderr() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Add a console pipeline to the Redwood handler tree, printing to stderr.
stdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
STDOUT - Static variable in class edu.stanford.nlp.util.logging.Redwood
STDOUT - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
stdout() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Add a console pipeline to the Redwood handler tree, printing to stdout.
stem(Word) - Method in class edu.stanford.nlp.process.Morphology
stem(String) - Method in class edu.stanford.nlp.process.Morphology
stem(CoreLabel) - Method in class edu.stanford.nlp.process.Morphology: Adds the LemmaAnnotation to the given CoreLabel.
stem(CoreLabel, Class<? extends CoreAnnotation<String>>) - Method in class edu.stanford.nlp.process.Morphology: Adds annotation ann to the given CoreLabel.
stemStatic(String, String) - Static method in class edu.stanford.nlp.process.Morphology: Return a new WordTag which has the lemma as the value of word().
stemStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology: Return a new WordTag which has the lemma as the value of word().
stemStaticSynchronized(String, String) - Static method in class edu.stanford.nlp.process.Morphology
STOP - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
stop() - Static method in class edu.stanford.nlp.util.logging.Redwood: Stop Redwood, closing all tracks and prohibiting future log messages.
stop() - Method in class edu.stanford.nlp.util.Timing: Stop timer.
stop(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing: Print elapsed time and stop timer.
stop(String) - Method in class edu.stanford.nlp.util.Timing: Print elapsed time to System.err and stop timer.
stop(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing: Print elapsed time and stop timer.
STOP_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
STOP_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
stopCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
stopTW - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
str - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
StreamGobbler - Class in edu.stanford.nlp.util: Reads the output of a process started by Process.exec() Adapted from: http://www.velocityreviews.com/forums/t130884-process-runtimeexec-causes-subprocess-hang.html
StreamGobbler(InputStream, Writer) - Constructor for class edu.stanford.nlp.util.StreamGobbler
stringFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns the contents of a file as a single string.
stringFromFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils: Returns the contents of a file as a single string.
stringIntern(Pair<String, String>) - Static method in class edu.stanford.nlp.util.Pair: If first and second are Strings, then this returns an MutableInternedPair where the Strings have been interned, and if this Pair is serialized and then deserialized, first and second are interned upon deserialization.
StringLabel - Class in edu.stanford.nlp.ling: A StringLabel object acts as a Label by containing a single String, which it sets or returns in response to requests.
StringLabel() - Constructor for class edu.stanford.nlp.ling.StringLabel: Create a new StringLabel with a null content (i.e., str).
StringLabel(String) - Constructor for class edu.stanford.nlp.ling.StringLabel: Create a new StringLabel with the given content.
StringLabel(String, int, int) - Constructor for class edu.stanford.nlp.ling.StringLabel: Create a new StringLabel with the given content.
StringLabel(Label) - Constructor for class edu.stanford.nlp.ling.StringLabel: Create a new StringLabel with the value() of another label as its label.
StringLabelFactory - Class in edu.stanford.nlp.ling: A StringLabelFactory object makes a simple StringLabel out of a String.
StringLabelFactory() - Constructor for class edu.stanford.nlp.ling.StringLabelFactory
StringParsingTask<E> - Class in edu.stanford.nlp.util: An instantiation of this abstract class parses a String and returns an object of type E.
StringParsingTask(String) - Constructor for class edu.stanford.nlp.util.StringParsingTask: Constructs a new StringParsingTask from the specified String.
StringParsingTask.ParserException - Exception in edu.stanford.nlp.util
StringParsingTask.ParserException(Exception) - Constructor for exception edu.stanford.nlp.util.StringParsingTask.ParserException
StringParsingTask.ParserException(String) - Constructor for exception edu.stanford.nlp.util.StringParsingTask.ParserException
stringToProperties(String) - Static method in class edu.stanford.nlp.util.StringUtils: This method converts a comma-separated String (with whitespace optionally allowed after the comma) representing properties to a Properties object.
stringToProperties(String, Properties) - Static method in class edu.stanford.nlp.util.StringUtils: This method updates a Properties object based on a comma-separated String (with whitespace optionally allowed after the comma) representing properties to a Properties object.
stringToSet(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
StringUtils - Class in edu.stanford.nlp.util: StringUtils is a class for random String things, including output formatting and command line argument parsing.
stripEmptyNode(Tree) - Static method in class edu.stanford.nlp.trees.DependencyTreeTransformer
stripGF(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
stripGF(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
stripGF(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
stripGF(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns the category for a String with everything following the gf character (which may be language specific) stripped.
stripNonAlphaNumerics(String) - Static method in class edu.stanford.nlp.util.StringUtils
stripSGML(String) - Static method in class edu.stanford.nlp.util.StringUtils
stripTag(Tree) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
stripTags(Reader, List<Integer>, boolean) - Static method in class edu.stanford.nlp.util.XMLUtils
StripTagsProcessor<L,F> - Class in edu.stanford.nlp.process: A Processor whose process method deletes all SGML/XML/HTML tags (tokens starting with < and ending with >.
StripTagsProcessor() - Constructor for class edu.stanford.nlp.process.StripTagsProcessor: Constructs a new StripTagsProcessor that doesn't mark line breaks.
StripTagsProcessor(boolean) - Constructor for class edu.stanford.nlp.process.StripTagsProcessor: Constructs a new StripTagProcessor that marks line breaks as specified.
strToFeatures(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification: Hand-written rules to convert SAMA analyses to feature structures.
strToFeatures(String) - Method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
strToFeatures(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
style(StringBuilder, String, Color, Style) - Method in class edu.stanford.nlp.util.logging.OutputHandler: Style a particular String segment, according to a color and style
Style - Enum in edu.stanford.nlp.util.logging: ANSI supported styles (rather, a subset of) These values are mirrored in Redwood.Util
styleChannel(String, Style) - Method in class edu.stanford.nlp.util.logging.OutputHandler: Style the tag for a particular channel this style
subArray(int[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Returns a TreeTransformer appropriate to the Treebank which can be used to remove functional tags (such as "-TMP") from categories.
subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams: Returns a TreeTransformer that retains categories according to the following options supported by setOptionFlag:
subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams: Returns a TreeTransformer appropriate to the Treebank which can be used to remove functional tags (such as "-TMP") from categories.
subcategoryStripper() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Returns a TreeTransformer appropriate to the Treebank which can be used to remove functional tags (such as "-TMP") from categories.
SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "subject" grammatical relation.
SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "subject" grammatical relation.
subList(int, int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
subState - Variable in class edu.stanford.nlp.parser.lexparser.Hook
substChars - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
subtractAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Subtracts the counts in the given Counter from the counts in this Counter.
subtractAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
subtractAll(TwoDimensionalCounterInterface<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
subtractAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
subtractAll(TwoDimensionalIntCounter<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
subtractInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of target to be target[k]-arg[k] for all keys k in target.
subtractInPlace(double[], Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of double[] target to be target[idx.indexOf(k)]-a.getCount(k) for all keys k in arg
subTreeList() - Method in class edu.stanford.nlp.trees.Tree: Get the list of all subtrees inside the tree by returning a tree rooted at each node.
subTrees() - Method in class edu.stanford.nlp.trees.Tree: Get the set of all subtrees inside the tree by returning a tree rooted at each node.
subTrees(T) - Method in class edu.stanford.nlp.trees.Tree: Add the set of all subtrees inside a tree (including the tree itself) to the given Collection.
sum(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the sum of an array of numbers.
sum(double[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns the sum of the portion of an array of numbers between fromIndex, inclusive, and toIndex, exclusive.
sum(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
sum(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
sum(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
sumEntries(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
sumInnerCounter() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter: Returns the counters with keys as the first key and count as the total count of the inner counter for that key
sumSquared(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
sumSquaredError(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
sumSquares(C) - Static method in class edu.stanford.nlp.stats.Counters: Return the sum of squares (squared L2 norm).
SunJurafskyChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese: A headfinder for Chinese based on rules described in Sun/Jurafsky NAACL '04.
SunJurafskyChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.SunJurafskyChineseHeadFinder
SunJurafskyChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.SunJurafskyChineseHeadFinder
sunJurafskyHeadFinder - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
superPaint(Graphics) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
SUPPCUTOFF - Static variable in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats: Minimum support of parent annotated node for grandparent to be studied.
SUPPCUTOFF - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats: Minimum support of parent annotated node for grandparent to be studied.
supportedFonts(int) - Static method in class edu.stanford.nlp.swing.FontDetector: Returns which Fonts on the system can display the sample string.
supportsAnsi() - Static method in class edu.stanford.nlp.util.logging.Redwood
supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: By default, parsers are assumed to not support dependencies.
supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
supportsBasicDependencies() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
suppressBuckDigitConversion(boolean) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
suppressBuckPunctConversion(boolean) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
suppressTerminalDetails - Static variable in class edu.stanford.nlp.ling.CategoryWordTag: If set to true, when a terminal or preterminal has as its category something that is also the word or tag value, the latter are suppressed.
suppressTestPrompt(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
switchedFilter(Filter<E>, boolean) - Static method in class edu.stanford.nlp.util.Filters: Filter that's either negated or normal as specified.
symbolCounter - Variable in class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
symmetricDiff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets: Returns the symmetric difference of sets s1 and s2 (i.e.
SynchronizedInterner<T> - Class in edu.stanford.nlp.util.concurrent: For interning (canonicalizing) things in a multi-threaded environment.
SynchronizedInterner(Interner<T>) - Constructor for class edu.stanford.nlp.util.concurrent.SynchronizedInterner
SynchronizedInterner(Interner<T>, Object) - Constructor for class edu.stanford.nlp.util.concurrent.SynchronizedInterner
SynchronizedTreeTransformer - Class in edu.stanford.nlp.trees: If you have a TreeTransformer which is not threadsafe, and you need to call it from multiple threads, this will wrap it in a synchronized manner.
SynchronizedTreeTransformer(TreeTransformer) - Constructor for class edu.stanford.nlp.trees.SynchronizedTreeTransformer
syncSpi() - Method in class edu.stanford.nlp.util.DisabledPreferences
systemRoot() - Method in class edu.stanford.nlp.util.DisabledPreferencesFactory





T

tab - Variable in class edu.stanford.nlp.util.logging.OutputHandler

The tab character

tag - Variable in class edu.stanford.nlp.ling.CategoryWordTag
 
tag() - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
tag() - Method in class edu.stanford.nlp.ling.CoreLabel

Return the tag value of the label (or null if none).

tag() - Method in interface edu.stanford.nlp.ling.HasTag

Return the tag value of the label (or null if none).

tag() - Method in class edu.stanford.nlp.ling.LabeledWord
 
Tag - Class in edu.stanford.nlp.ling

A Tag object acts as a Label by containing a
 String that is a part-of-speech tag.

Tag() - Constructor for class edu.stanford.nlp.ling.Tag

Constructs a Tag object.

Tag(String) - Constructor for class edu.stanford.nlp.ling.Tag

Constructs a Tag object.

Tag(Label) - Constructor for class edu.stanford.nlp.ling.Tag

Creates a new tag whose tag value is the value of any
 class that supports the Label interface.

tag() - Method in class edu.stanford.nlp.ling.Tag
 
tag() - Method in class edu.stanford.nlp.ling.TaggedWord
 
tag() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
tag() - Method in class edu.stanford.nlp.ling.WordTag
 
tag - Variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
tag() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
tag - Variable in class edu.stanford.nlp.parser.lexparser.Item
 
TAG_COLUMN - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TAG_INSIDE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TAG_LABEL - Static variable in class edu.stanford.nlp.ling.TaggedWordFactory
 
TAG_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
 
TAG_SEPARATOR - Static variable in class edu.stanford.nlp.ling.CoreLabel

Tag separator to use by default

TAG_SEPARATOR - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TAG_SEPARATOR - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TAG_SEPARATOR_PROPERTY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
tagBin - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
tagBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
tagBin(int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar

Converts a tag (coded as an integer via a Numberer) from its
  representation in the full tag space to the reduced (projected) tag
  space used in the DependencyGrammar.

TaggedFileReader - Interface in edu.stanford.nlp.tagger.io
 
TaggedFileRecord - Class in edu.stanford.nlp.tagger.io
 
TaggedFileRecord.Format - Enum in edu.stanford.nlp.tagger.io
 
taggedFiles - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

A set of files to use as extra information in the lexicon.

taggedLabeledYield() - Method in class edu.stanford.nlp.trees.Tree
 
taggedLeafLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees

returns the labels of the leaves in a Tree, augmented with POS tags.

taggedStringFromTree(Tree, boolean, String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils

Converts a parse tree into a string of tokens.

TaggedWord - Class in edu.stanford.nlp.ling

A TaggedWord object contains a word and its tag.

TaggedWord() - Constructor for class edu.stanford.nlp.ling.TaggedWord

Create a new TaggedWord.

TaggedWord(String) - Constructor for class edu.stanford.nlp.ling.TaggedWord

Create a new TaggedWord.

TaggedWord(String, String) - Constructor for class edu.stanford.nlp.ling.TaggedWord

Create a new TaggedWord.

TaggedWord(Label) - Constructor for class edu.stanford.nlp.ling.TaggedWord

Create a new TaggedWord.

TaggedWord(Label, Label) - Constructor for class edu.stanford.nlp.ling.TaggedWord

Create a new TaggedWord.

TaggedWordFactory - Class in edu.stanford.nlp.ling

A TaggedWordFactory acts as a factory for creating objects of
 class TaggedWord.

TaggedWordFactory() - Constructor for class edu.stanford.nlp.ling.TaggedWordFactory

Create a new TaggedWordFactory.

TaggedWordFactory(char) - Constructor for class edu.stanford.nlp.ling.TaggedWordFactory

Create a new TaggedWordFactory.

taggedWordList - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
taggedYield() - Method in class edu.stanford.nlp.trees.Tree

Gets the tagged yield of the tree.

taggedYield(X) - Method in class edu.stanford.nlp.trees.Tree

Gets the tagged yield of the tree -- that is, get the preterminals
 as well as the terminals.

tagger - Variable in class edu.stanford.nlp.parser.lexparser.EvaluateTreebank

The tagger optionally used before parsing.

TaggerConfig - Class in edu.stanford.nlp.tagger.maxent

Reads and stores configuration information for a POS tagger.

TaggerConfig(TaggerConfig) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig

We force you to pass in a TaggerConfig rather than any other
 superclass so that we know the arg error checking has already occurred

TaggerConfig(String...) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TaggerConfig(Properties) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TaggerConfig.Mode - Enum in edu.stanford.nlp.tagger.maxent
 
taggerSerializedFile - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions

POS tagger model used when preTag is enabled.

TaggingEval - Class in edu.stanford.nlp.parser.metrics

Computes POS tagging P/R/F1 from guess/gold trees.

TaggingEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.TaggingEval
 
TaggingEval(String, boolean, Lexicon) - Constructor for class edu.stanford.nlp.parser.metrics.TaggingEval
 
tagHash - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel

This maps from a tag (as a label) to a Counter from word signatures to
  their P(sig|tag), as estimated in the model.

tagId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
tagITWList - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar

The indices of this list are in the tag binned space.

tagMap - Variable in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
 
tagPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

Parent annotation on tags.

tagProjection - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
TagProjection - Interface in edu.stanford.nlp.parser.lexparser

An interface for projecting POS tags onto a reduced
 set for the dependency grammar.

tagRBGPA - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain

Grand parent annotate RB to try to distinguish sentential ones and
  ones in places like NP post modifier (things like 'very' are already
  distinguished as their parent is ADJP).

tags - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon

Set of all tags as IntTaggedWord.

tags - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
tagSelectivePostSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
tagSelectivePostSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
tagSelectiveSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

Do parent annotation on tags selectively.

tagSelectiveSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
tagSet - Variable in class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
tagsToEscape - Variable in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
 
tagString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
tagWordSize - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams

Annotate tags for number of characters contained.

tallyInternalNode(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyInternalNode(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
 
tallyLeaf(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyLocalTree(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyPreTerminal(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyRoot(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyRoot(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
tallyTree(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyTreeIterator(Iterator<Tree>, Function<Tree, Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyTrees(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
targetBG() - Method in interface edu.stanford.nlp.parser.lexparser.GrammarProjection
 
targetNode - Variable in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
targetUG() - Method in interface edu.stanford.nlp.parser.lexparser.GrammarProjection
 
tempEdge - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
tempHook - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
TEMPORAL_9 - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ACL03PCFG - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ALL_NP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ALL_NP_AND_PP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ALL_NP_EVEN_UNDER_PP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ALL_NP_PP_ADVP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ALL_TERMINALS - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ANY_TMP_PERCOLATED - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations

The "temporal modifier" grammatical relation.

TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations

The "temporal modifier" grammatical relation.

TEMPORAL_NONE - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_NP_AND_PP_WITH_NP_HEAD - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
terminateOnAverageImprovement(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
terminateOnEvalImprovement(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
terminateOnNumericalZero(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
terminateOnRelativeNorm(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
testConvergence(TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
testGraphPaths(TransducerGraph, TransducerGraph, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
 
testingThreads - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions

Number of threads to use at test time.

testMemoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams

You can often return the same thing for testMemoryTreebank as
 for memoryTreebank

testMemoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams

returns a MemoryTreebank appropriate to the testing treebank source

testMemoryTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams

returns a MemoryTreebank appropriate to the testing treebank source

testOnTreebank(Treebank) - Method in class edu.stanford.nlp.parser.lexparser.EvaluateTreebank

Test the parser on a treebank.

testOptions - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
testOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options

Note that the TestOptions is transient.

TestOptions - Class in edu.stanford.nlp.parser.lexparser

Options to the parser which affect performance only at testing (parsing)
 time.

TestOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.TestOptions
 
text - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
TextTaggedFileReader - Class in edu.stanford.nlp.tagger.io
 
TextTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TextTaggedFileReader
 
textualSummary() - Method in class edu.stanford.nlp.trees.Treebank

Return various statistics about the treebank (number of sentences,
 words, tag set, etc.).

textualSummary(TreebankLanguagePack) - Method in class edu.stanford.nlp.trees.Treebank

Return various statistics about the treebank (number of sentences,
 words, tag set, etc.).

tf - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
tf - Variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
 
tfLogScale(C, double) - Static method in class edu.stanford.nlp.stats.Counters

Returns a new Counter which is the input counter with log tf scaling

tg - Variable in class edu.stanford.nlp.trees.TreeGraphNode

The TreeGraph of which this
 node is part.

third - Variable in class edu.stanford.nlp.util.Triple
 
third() - Method in class edu.stanford.nlp.util.Triple
 
thirdKeySet() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
thread - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
 
thread(String, Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util

Wrap a collection of threads (Runnables) to be logged by Redwood.

thread(Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
threadAndRun(String, Iterable<Runnable>, int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util

Thread a collection of runnables, and run them via a java Executor.

threadAndRun(String, Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
threadAndRun(Iterable<Runnable>, int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
threadAndRun(Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
ThreadsafeProcessor<I,O> - Interface in edu.stanford.nlp.util.concurrent

Objects that wish to use MulticoreWrapper for multicore support must implement
 this interface.

ThreeDimensionalMap<K1,K2,K3,V> - Class in edu.stanford.nlp.util
 
ThreeDimensionalMap() - Constructor for class edu.stanford.nlp.util.ThreeDimensionalMap
 
tick(String) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
tick() - Static method in class edu.stanford.nlp.util.Timing

Restart (static) timer.

tick(String, PrintStream) - Static method in class edu.stanford.nlp.util.Timing

Print elapsed time and restart (static) timer.

tick(String) - Static method in class edu.stanford.nlp.util.Timing

Print elapsed time to System.err and restart (static) timer.

TIME - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations

The "temporal clause" grammatical relation.

TIME_POSTPOSITION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations

The "localizer object" grammatical relation.

timesstamp - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
 
Timing - Class in edu.stanford.nlp.util

A class for measuring how long things take.

Timing() - Constructor for class edu.stanford.nlp.util.Timing

Constructs new Timing object and starts the timer.

title - Variable in class edu.stanford.nlp.ling.BasicDocument

title of this document (never null).

title() - Method in class edu.stanford.nlp.ling.BasicDocument

Returns the title of this document.

title() - Method in interface edu.stanford.nlp.ling.Document

Returns title of document, or "" if the document has no title.

tlp - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
 
tlp - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
tlp - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
tlp - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
tlp - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
 
tlp - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
tlp - Variable in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
tlp - Variable in class edu.stanford.nlp.trees.GrammaticalFunctionTreeNormalizer
 
tlp - Variable in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
 
tlp - Variable in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
 
tlpParams - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
tlpParams - Variable in class edu.stanford.nlp.parser.lexparser.Options

The treebank-specific parser parameters  to use.

to2D(double[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
to2D(double[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toArray() - Method in class edu.stanford.nlp.objectbank.ObjectBank
 
toArray(T[]) - Method in class edu.stanford.nlp.objectbank.ObjectBank

Can be slow.

toArray(T[]) - Method in class edu.stanford.nlp.util.DeltaIndex
 
toArray(T[]) - Method in interface edu.stanford.nlp.util.Index
 
toAscii(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
toBiggestValuesFirstString(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
toBiggestValuesFirstString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
 
toBiggestValuesFirstString(Counter<Integer>, int, Index<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
toBinaryString(byte[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toCompactString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toCompactString(boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toComparator(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters

Returns a comparator backed by this counter: two objects are compared by
 their associated values stored in the counter.

toComparator(Counter<E>, boolean, boolean) - Static method in class edu.stanford.nlp.stats.Counters

Returns a comparator suitable for sorting this Counter's keys or entries by
 their respective value or magnitude (by absolute value).

toComparatorDescending(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters

Returns a comparator backed by this counter: two objects are compared by
 their associated values stored in the counter.

toComparatorWithKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters

Returns a comparator backed by this counter: two objects are compared by
 their associated values stored in the counter.

toContinue() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record

This function checks for convergence through first
 order optimality,  numerical convergence (i.e., zero numerical
 gradient), and also by checking the average improvement.

toCoreLabelList(String...) - Static method in class edu.stanford.nlp.ling.Sentence

Create a sentence as a List of CoreLabel objects from
 an array (or varargs) of String objects.

toCoreLabelList(List<? extends HasWord>) - Static method in class edu.stanford.nlp.ling.Sentence

Create a sentence as a List of CoreLabel objects from
 a List of other label objects.

toCounter(double[], Index<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
toCounter(Map<Integer, ? extends Number>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters

Turns the given map and index into a counter instance.

toCSVString(NumberFormat) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
toCSVString(NumberFormat) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
toCSVString(NumberFormat) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
toCSVString(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
toDescendingMagnitudeSortedListWithCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
toDotFormat() - Method in class edu.stanford.nlp.semgraph.SemanticGraph

Returns an unnamed dot format digraph.

toDotFormat(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph

Returns a dot format digraph with the given name.

toDotFormat(String, String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toDouble(float[]) - Static method in class edu.stanford.nlp.util.ArrayUtils

Casts to a double array

toDouble(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils

Casts to a double array.

toDoubleArray(String[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toEnUncollapsedSentenceString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph

Similar to toRecoveredString, but will fill in words that were
 collapsed into relations (i.e.

toFlatTree(List<HasWord>) - Static method in class edu.stanford.nlp.trees.Trees

Turns a sentence into a flat phrasal tree.

toFlatTree(List<? extends HasWord>, LabelFactory) - Static method in class edu.stanford.nlp.trees.Trees

Turns a sentence into a flat phrasal tree.

toFormattedString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph

Returns a String representation of this semantic graph,
 formatted by the default semantic graph formatter.

toFormattedString(SemanticGraphFormatter) - Method in class edu.stanford.nlp.semgraph.SemanticGraph

Returns a String representation of this semantic graph,
 formatted by the supplied semantic graph formatter.

toInterval(E, E) - Static method in class edu.stanford.nlp.util.Interval

Create an interval with the specified endpoints in the specified order,
 Returns null if a does not come before b (invalid interval)

toInterval(E, E, int) - Static method in class edu.stanford.nlp.util.Interval

Create an interval with the specified endpoints in the specified order,
 using the specified flags.

toInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
tokenImage - Variable in exception edu.stanford.nlp.trees.tregex.ParseException

This is a reference to the "tokenImage" array of the generated
 parser within which the parse error occurred.

tokenImage - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException

This is a reference to the "tokenImage" array of the generated
 parser within which the parse error occurred.

tokenize() - Method in class edu.stanford.nlp.process.AbstractTokenizer

Returns text as a List of tokens.

tokenize() - Method in interface edu.stanford.nlp.process.Tokenizer

Returns all tokens of this Tokenizer as a List for convenience.

TOKENIZE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TOKENIZED_CHINESE - Static variable in class edu.stanford.nlp.parser.ui.ParserPanel
 
Tokenizer<T> - Interface in edu.stanford.nlp.process

Tokenizers break up text into individual Objects.

TOKENIZER_FACTORY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TOKENIZER_OPTIONS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TokenizerAdapter - Class in edu.stanford.nlp.process

This class adapts between a java.io.StreamTokenizer
 and a edu.stanford.nlp.process.Tokenizer.

TokenizerAdapter(StreamTokenizer) - Constructor for class edu.stanford.nlp.process.TokenizerAdapter

Create a new TokenizerAdaptor.

tokenizerFactory - Variable in class edu.stanford.nlp.ling.BasicDocument

TokenizerFactory used to convert the text into words inside
 BasicDocument.parse(String).

tokenizerFactory() - Method in class edu.stanford.nlp.ling.BasicDocument

Returns the current TokenizerFactory used by BasicDocument.parse(String).

tokenizerFactory - Variable in class edu.stanford.nlp.ling.DocumentReader

Tokenizer used to chop up document text into words.

TokenizerFactory<T> - Interface in edu.stanford.nlp.process

A TokenizerFactory is used to convert a java.io.Reader
 into a Tokenizer (or an Iterator) over the Objects represented by the text
 in the java.io.Reader.

toLexicalEntry(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
toList() - Method in class edu.stanford.nlp.semgraph.SemanticGraph

Returns a String representation of this graph as a list of typed
 dependencies, as exemplified by the following:

toList(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils

Create a list out of the items in the Iterable.

toMatrix(List<K1>, List<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter

Given an ordering of the first (row) and second (column) keys, will produce
 a double matrix.

toMatrix(List<K1>, List<K2>) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface

Given an ordering of the first (row) and second (column) keys, will produce
 a double matrix.

toMatrix(List<K1>, List<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter

Given an ordering of the first (row) and second (column) keys, will produce a double matrix.

toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
toMatrixString(int) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
toOneLineString() - Method in class edu.stanford.nlp.trees.TreeGraphNode

Returns a String representation of this node and
 its subtree as a one-line parenthesized list.

TOP_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations

The "topic" grammatical relation.

topKeys(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
 
topKeysWithCounts(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
 
topLevelKeySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter

Returns the set of elements that occur in the 0th position of a
 List key in the GeneralizedCounter.

topologicalSort() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toPOSList() - Method in class edu.stanford.nlp.semgraph.SemanticGraph

Similar to toList(), but uses POS tags instead of word and index.

toPrettyString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation

Returns a String representation of this
 GrammaticalRelation and the hierarchy below
 it, with one node per line, indented according to level.

toPrettyString(int) - Method in class edu.stanford.nlp.trees.TreeGraphNode

Returns a String representation of this node and
 its subtree with one node per line, indented according to
 indentLevel.

toPrimes() - Method in class edu.stanford.nlp.ling.CoreLabel
 
toPrimes() - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
toPrimitive(Long[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Integer[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Short[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Character[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Long[], long) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Integer[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Short[], short) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Character[], char) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Double[], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPriorityQueue(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters

Returns a PriorityQueue whose elements are
 the keys of Counter c, and the score of each key in c becomes its priority.

toRankCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters

Converts a counter to ranks; ranks start from 0

toRecoveredSentenceString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toRecoveredSentenceStringWithIndexMarking() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toRelFlags(int, int) - Method in class edu.stanford.nlp.util.Interval
 
toSecondsString() - Method in class edu.stanford.nlp.util.Timing
 
toSecondsString(long) - Static method in class edu.stanford.nlp.util.Timing
 
toSentenceString(ArrayList) - Method in class edu.stanford.nlp.trees.Constituent

Print out as a string the subpart of a sentence covered
 by this Constituent.

toSet(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils

Create a set out of the items in the Iterable.

toShorterString(String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap

Attempt to provide a more human readable String for the contents of
  an ArrayCoreMap.

toShortString(String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap

This gives a very short String representation of a CoreMap
  by leaving it to the content to reveal what field is being printed.

toShortString(char, String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap
 
toSortedByKeysString(Counter<T>, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters

Returns a string representation of a Counter, where (key, value) pairs are
 sorted by key, and formatted as specified.

toSortedList(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters

A List of the keys in c, sorted from highest count to lowest.

toSortedList(Counter<E>, boolean) - Static method in class edu.stanford.nlp.stats.Counters

A List of the keys in c, sorted from highest count to lowest.

toSortedList() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
toSortedList() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
toSortedList() - Method in interface edu.stanford.nlp.util.PriorityQueue
 
toSortedListKeyComparable(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters

A List of the keys in c, sorted from highest count to lowest.

toSortedListWithCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters

A List of the keys in c, sorted from highest count to lowest, paired with
 counts

toSortedString(Counter<T>, int, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters

Returns a string representation of a Counter, displaying the keys and their
 counts in decreasing order of count.

toSortedString(Counter<T>, int, String, String) - Static method in class edu.stanford.nlp.stats.Counters

Returns a string representation of a Counter, displaying the keys and their
 counts in decreasing order of count.

toString() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
toString() - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
toString() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
toString() - Method in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
 
toString() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures

values() returns the values in the order in which they are declared.

toString() - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
toString() - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
 
toString() - Method in class edu.stanford.nlp.ling.CategoryWordTag

Returns a String representation of the label.

toString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag

Returns a String representation of the label.

toString() - Method in class edu.stanford.nlp.ling.CoreLabel
 
toString(String) - Method in class edu.stanford.nlp.ling.CoreLabel

Returns a formatted string representing this label.

toString() - Method in class edu.stanford.nlp.ling.IndexedWord

Computes the toString based on whatever the printFormat is
 currently set as.

toString(String) - Method in class edu.stanford.nlp.ling.IndexedWord

Prints the toString in the form of format.

toString() - Method in interface edu.stanford.nlp.ling.Label

Return a String representation of the label.

toString() - Method in class edu.stanford.nlp.ling.LabeledWord
 
toString(String) - Method in class edu.stanford.nlp.ling.LabeledWord
 
toString() - Method in class edu.stanford.nlp.ling.StringLabel
 
toString() - Method in class edu.stanford.nlp.ling.TaggedWord
 
toString(String) - Method in class edu.stanford.nlp.ling.TaggedWord
 
toString() - Method in class edu.stanford.nlp.ling.ValueLabel

Return a string representation of the label.

toString() - Method in class edu.stanford.nlp.ling.WordLemmaTag

Return a String representation of the Label.

toString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
toString() - Method in class edu.stanford.nlp.ling.WordTag

Return a String representation of the label.

toString(String) - Method in class edu.stanford.nlp.ling.WordTag
 
toString(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(double[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(byte[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(byte[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[][], Object[], Object[], int, int, NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(double[][], int, Object[], Object[], NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[][], int, Object[], Object[], NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
toString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.Edge
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.Hook
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
 
toString(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
toString(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
toString(String, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
toString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
toString() - Method in class edu.stanford.nlp.process.Americanize
 
toString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph

Recursive depth first traversal.

toString(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph

Returns a String representation of the result of this set of typed
 dependencies in a user-specified format.

toString() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
toString() - Method in class edu.stanford.nlp.stats.ClassicCounter

Returns a String representation of the Counter, as formatted by
  the underlying Map.

toString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters

Returns a string representation which includes no more than the
 maxKeysToPrint elements with largest counts.

toString(Counter<E>, NumberFormat) - Static method in class edu.stanford.nlp.stats.Counters
 
toString(Counter<E>, NumberFormat, String, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters

Pretty print a Counter.

toString(NumberFormat) - Method in class edu.stanford.nlp.stats.Distribution
 
toString() - Method in class edu.stanford.nlp.stats.Distribution
 
toString() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
 
toString(String) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
 
toString() - Method in class edu.stanford.nlp.stats.IntCounter
 
toString(NumberFormat, String, String, String, String) - Method in class edu.stanford.nlp.stats.IntCounter
 
toString(NumberFormat) - Method in class edu.stanford.nlp.stats.IntCounter
 
toString() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter

A simple String representation of this TwoDimensionalCounter, which has the
 String representation of each key pair on a separate line, followed by the
 count for that pair.

toString() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter

A simple String representation of this TwoDimensionalCounter, which has
 the String representation of each key pair
 on a separate line, followed by the count for that pair.

toString() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
toString() - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
 
toString() - Method in class edu.stanford.nlp.trees.Constituent

Return a string representation of a Constituent.

toString(String) - Method in interface edu.stanford.nlp.trees.Dependency

Provide different printing options via a String keyword.

toString() - Method in class edu.stanford.nlp.trees.DependencyScoring.Score
 
toString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation

Returns short name (abbreviation) for this
 GrammaticalRelation.

toString() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
 
toString() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
toString() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
toString() - Method in class edu.stanford.nlp.trees.NamedDependency
 
toString(String) - Method in class edu.stanford.nlp.trees.NamedDependency

Provide different printing options via a String keyword.

toString() - Method in class edu.stanford.nlp.trees.Tree

Converts parse tree to string in Penn Treebank format.

toString() - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
 
toString() - Method in class edu.stanford.nlp.trees.treebank.ConfigParser
 
toString() - Method in class edu.stanford.nlp.trees.treebank.DistributionPackage
 
toString() - Method in class edu.stanford.nlp.trees.Treebank

Return the whole treebank as a series of big bracketed lists.

toString() - Method in class edu.stanford.nlp.trees.TreeGraph

Return a String representing this treegraph.

toString() - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
toString(String) - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
toString() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
 
toString() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
 
toString() - Method in class edu.stanford.nlp.trees.TypedDependency
 
toString(boolean) - Method in class edu.stanford.nlp.trees.TypedDependency
 
toString() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
toString(String) - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency

Provide different printing options via a String keyword.

toString() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
toString(String) - Method in class edu.stanford.nlp.trees.UnnamedDependency

Provide different printing options via a String keyword.

toString() - Method in class edu.stanford.nlp.util.ArrayCoreMap
 
toString() - Method in class edu.stanford.nlp.util.ArrayHeap

Prints the array entries in sorted comparator order.

toString(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toString(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toString(boolean[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toString() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
toString(int) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue

Returns a representation of the queue in decreasing priority order,
 displaying at most maxKeysToPrint elements.

toString() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
toString() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper

Return status information about the underlying threadpool.

toString() - Method in class edu.stanford.nlp.util.DeltaIndex

super ghetto

toString() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue

Returns a representation of the queue in decreasing priority order.

toString(int) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue

Returns a representation of the queue in decreasing priority order,
 displaying at most maxKeysToPrint elements.

toString() - Method in class edu.stanford.nlp.util.HashIndex

Returns a readable version of the Index contents

toString(int) - Method in class edu.stanford.nlp.util.HashIndex

Returns a readable version of at least part of the Index contents.

toString() - Method in class edu.stanford.nlp.util.IntTuple
 
toString() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
 
toString() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
toString() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
 
toString() - Method in class edu.stanford.nlp.util.MetaClass
 
toString() - Method in class edu.stanford.nlp.util.MutableDouble
 
toString() - Method in class edu.stanford.nlp.util.MutableInteger
 
toString() - Method in class edu.stanford.nlp.util.Pair
 
toString(int) - Method in interface edu.stanford.nlp.util.PriorityQueue

Returns a representation of the queue in decreasing priority order,
 displaying at most maxKeysToPrint elements.

toString() - Method in class edu.stanford.nlp.util.ScoredComparator
 
toString() - Method in class edu.stanford.nlp.util.ScoredObject
 
toString() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
toString() - Method in class edu.stanford.nlp.util.Timing
 
toString() - Method in class edu.stanford.nlp.util.Triple
 
toString() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
 
toString() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
toString() - Method in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
toStringAttachmentScore(boolean) - Method in class edu.stanford.nlp.trees.DependencyScoring.Score
 
toStringBuffer - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
 
toStringBuilder(StringBuilder) - Method in class edu.stanford.nlp.trees.Tree

Appends the printed form of a parse tree (as a bracketed String)
 to an Appendable, such as a StringBuffer.

toStringBuilder(StringBuilder, boolean) - Method in class edu.stanford.nlp.trees.Tree

Appends the printed form of a parse tree (as a bracketed String)
 to an Appendable, such as a StringBuffer.

toStringFScore(boolean, boolean) - Method in class edu.stanford.nlp.trees.DependencyScoring.Score
 
toStringNoScore(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
toStringNoScore(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
toStringOneEntryPerLine() - Method in class edu.stanford.nlp.util.HashIndex
 
toStringOneEntryPerLine(int) - Method in class edu.stanford.nlp.util.HashIndex
 
toStringSorted(Map<K, V>, StringBuilder) - Static method in class edu.stanford.nlp.util.Maps

Stringifies a Map in a stable fashion.

toStringSorted(Map<K, V>) - Static method in class edu.stanford.nlp.util.Maps

Stringifies a Map in a stable fashion.

toStructureDebugString(Tree) - Static method in class edu.stanford.nlp.trees.Trees

Returns a String reporting what kinds of Tree and Label nodes this
  Tree contains.

toTaggedList(List<String>, List<String>) - Static method in class edu.stanford.nlp.ling.Sentence

Create an ArrayList as a list of TaggedWord from two
 lists of String, one for the words, and the second for
 the tags.

toTaggedWord(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
totalCount() - Method in class edu.stanford.nlp.stats.ClassicCounter

Computes the total of all counts in this counter, and returns it
 as a double.

totalCount() - Method in interface edu.stanford.nlp.stats.Counter

Computes the total of all counts in this counter, and returns it
 as a double.

totalCount() - Method in class edu.stanford.nlp.stats.Distribution
 
totalCount() - Method in class edu.stanford.nlp.stats.GeneralizedCounter

returns the total count of objects in the GeneralizedCounter.

totalCount(Filter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
 
totalCount() - Method in class edu.stanford.nlp.stats.IntCounter
 
totalCount() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter

Takes linear time.

totalCount(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
totalCount() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
totalCount(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
totalCount() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter

Takes linear time.

totalCount(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
totalCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
totalDoubleCount() - Method in class edu.stanford.nlp.stats.IntCounter
 
totalDoubleCount(Filter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
 
totalIntCount() - Method in class edu.stanford.nlp.stats.IntCounter

Returns the current total count for all objects in this Counter.

totalIntCount(Filter<E>) - Method in class edu.stanford.nlp.stats.IntCounter

Returns the total count for all objects in this Counter that pass the
 given Filter.

totalParamSize() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
toTiedRankCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters

Converts a counter to tied ranks; ranks start from 1

toUntaggedList(List<String>) - Static method in class edu.stanford.nlp.ling.Sentence

Create an ArrayList as a list of Word from a
 list of String.

toUntaggedList(String...) - Static method in class edu.stanford.nlp.ling.Sentence

Create a Sentence as a list of Word objects from
 an array of String objects.

toValidInterval(E, E) - Static method in class edu.stanford.nlp.util.Interval

Create an interval with the specified endpoints, reordering them as needed

toValidInterval(E, E, int) - Static method in class edu.stanford.nlp.util.Interval

Create an interval with the specified endpoints, reordering them as needed,
 using the specified flags

toVerticalString(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
toVerticalString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
 
toVerticalString(Counter<E>, String) - Static method in class edu.stanford.nlp.stats.Counters
 
toVerticalString(Counter<E>, int, String) - Static method in class edu.stanford.nlp.stats.Counters
 
toVerticalString(Counter<E>, int, String, boolean) - Static method in class edu.stanford.nlp.stats.Counters

Returns a String representation of the k keys
 with the largest counts in the given Counter, using the given
 format string.

toVerticalString() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
toVerticalString(Map<K, V>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
toWordList(String...) - Static method in class edu.stanford.nlp.ling.Sentence
 
tr(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils

Swap any occurrences of any characters in the from String in the input String with
 the corresponding character from the to String.

trackColor - Variable in class edu.stanford.nlp.util.logging.OutputHandler

The color to use for track beginning and ends

trackStack - Variable in class edu.stanford.nlp.util.logging.OutputHandler

Information about the current and higher level tracks

trackStyle - Variable in class edu.stanford.nlp.util.logging.OutputHandler

The style to use for track beginning and ends

train(List<Tree>, IdentityHashMap<Tree, byte[]>, Treebank, String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVParser
 
train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
 
train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
 
train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
 
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer

Trains this lexicon on the Collection of trees.

train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon

Trains this lexicon on the Collection of trees.

train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon

Trains this lexicon on the Collection of trees.

train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
 
train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon

Train this lexicon on the given set of trees.

train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon

Train this lexicon on the given set of trees.

train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon

TODO: make this method do something with the weight

train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
 
train(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
 
train(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
 
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer

trains the first-character based unknown word model.

train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer

Trains this UWM on the Collection of trees.

train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon

This method should populate wordIndex, tagIndex, and morphIndex.

train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModelTrainer

Trains this lexicon on the Collection of trees.

train(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon

Trains this lexicon on the Collection of trees.

train(Collection<Tree>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
train(Collection<Tree>, Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
train(Tree, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
train(List<TaggedWord>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon

Not all subclasses support this particular method.

train(TaggedWord, int, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon

Not all subclasses support this particular method.

train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
train(TaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
train(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer

Tallies statistics for this particular collection of trees.

train(Collection<Tree>, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer

Tallies statistics for a weighted collection of trees.

train(Tree, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer

Tallies statistics for a single tree.

train(TaggedWord, int, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer

Tallies statistics for a single word.

train(Collection<Tree>) - Method in interface edu.stanford.nlp.process.WordSegmenter
 
train(Tree) - Method in interface edu.stanford.nlp.process.WordSegmenter
 
train(List<TaggedWord>) - Method in interface edu.stanford.nlp.process.WordSegmenter
 
trainFromTreebank(Treebank, GrammarCompactor, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser

Construct a new LexicalizedParser.

trainFromTreebank(String, FileFilter, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
trainFromTreebank(Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
trainingThreads - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

If the training algorithm allows for parallelization, how many
 threads to use

trainLengthLimit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
trainOptions - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
trainOptions - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
trainOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
TrainOptions - Class in edu.stanford.nlp.parser.lexparser

Non-language-specific options for training a grammar from a treebank.

TrainOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.TrainOptions
 
TrainOptions.TransformMatrixType - Enum in edu.stanford.nlp.parser.lexparser
 
trainTestFoldsForCV(List<T>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils

Split a list into train, test pairs for use in k-fold crossvalidation.

trainTreeFile - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
trainUnannotated(List<TaggedWord>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon

Sometimes we might have a sentence of tagged words which we would
 like to add to the lexicon, but they weren't part of a binarized,
 markovized, or otherwise annotated tree.

trainWithExpansion(Collection<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon

Not yet implemented.

TransducerGraph - Class in edu.stanford.nlp.fsm

TransducerGraph
 
 Class for representing a deterministic finite state automaton
 without epsilon transitions.

TransducerGraph() - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
 
TransducerGraph(TransducerGraph) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
 
TransducerGraph(TransducerGraph, TransducerGraph.ArcProcessor) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
 
TransducerGraph(TransducerGraph, TransducerGraph.NodeProcessor) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
 
TransducerGraph(Set<TransducerGraph.Arc>, Object, Set, TransducerGraph.ArcProcessor, TransducerGraph.NodeProcessor) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
 
TransducerGraph(Set<TransducerGraph.Arc>) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph

Uses the Arcs newArcs.

TransducerGraph.Arc<NODE,IN,OUT> - Class in edu.stanford.nlp.fsm
 
TransducerGraph.Arc(TransducerGraph.Arc<NODE, IN, OUT>) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
TransducerGraph.Arc(NODE, NODE) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
TransducerGraph.Arc(NODE, NODE, IN) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
TransducerGraph.Arc(NODE, NODE, IN, OUT) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
TransducerGraph.ArcProcessor - Interface in edu.stanford.nlp.fsm
 
TransducerGraph.GraphProcessor - Interface in edu.stanford.nlp.fsm
 
TransducerGraph.InputSplittingProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.InputSplittingProcessor() - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.InputSplittingProcessor
 
TransducerGraph.NodeProcessor - Interface in edu.stanford.nlp.fsm
 
TransducerGraph.NodeProcessorWrappingArcProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.NodeProcessorWrappingArcProcessor(TransducerGraph.NodeProcessor) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.NodeProcessorWrappingArcProcessor
 
TransducerGraph.NormalizingGraphProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.NormalizingGraphProcessor(boolean) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.NormalizingGraphProcessor
 
TransducerGraph.ObjectToSetNodeProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.ObjectToSetNodeProcessor() - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.ObjectToSetNodeProcessor
 
TransducerGraph.OutputCombiningProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.OutputCombiningProcessor() - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.OutputCombiningProcessor
 
TransducerGraph.SetToStringNodeProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.SetToStringNodeProcessor(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.SetToStringNodeProcessor
 
transform(Counter<T1>, Function<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters

Returns the counter with keys modified according to function F.

transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.MemoryTreebank

Return a MemoryTreebank where each
 Tree in the current treebank has been transformed using the
 TreeTransformer.

transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.Tree

Create a transformed Tree.

transform(TreeTransformer, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree

Create a transformed Tree.

transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.Treebank

Return a Treebank (actually a TransformingTreebank) where each
 Tree in the current treebank has been transformed using the
 TreeTransformer.

transformAsList(Collection<? extends T1>, Function<T1, ? extends T2>) - Static method in class edu.stanford.nlp.util.CollectionUtils

Transforms the keyset of collection according to the given Function and returns a list

transformAsSet(Collection<? extends T1>, Function<T1, ? extends T2>) - Static method in class edu.stanford.nlp.util.CollectionUtils

Transforms the keyset of collection according to the given Function and returns a set of the keys

transformHelper(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
TransformingTreebank - Class in edu.stanford.nlp.trees

This class wraps another Treebank, and will vend trees that have been through
  a TreeTransformer.

TransformingTreebank() - Constructor for class edu.stanford.nlp.trees.TransformingTreebank

Create a new TransformingTreebank.

TransformingTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.TransformingTreebank

Create a new TransformingTreebank.

TransformingTreebank(Treebank, TreeTransformer) - Constructor for class edu.stanford.nlp.trees.TransformingTreebank

Create a new TransformingTreebank from a base Treebank that will
 transform trees with the given TreeTransformer.

transformLabel(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformMatrixType - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
transformNonterminal(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformNonterminalLabel(Tree) - Method in class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
 
transformNonterminalLabel(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformTerminal(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformTerminalLabel(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBCorrector
 
transformTree(Tree) - Method in class edu.stanford.nlp.international.french.pipeline.FTBCorrector
 
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
 
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams

This method does language-specific tree transformations such
 as annotating particular nodes with language-relevant features.

transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BoundaryRemover
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams

transformTree does all language-specific tree
 transformations.

transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.CollinsPuncTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.Debinarizer
 
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams

This method does language-specific tree transformations such
 as annotating particular nodes with language-relevant features.

transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams

transformTree does all language-specific tree
 transformations.

transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotator

Do the category splitting of the tree passed in.

transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer

The tree t is normally expected to be a Penn-Treebank-style tree
  in which the top node is an extra node that rewrites unarily.

transformTree(Tree, Tree) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams

This method does language-specific tree transformations such
 as annotating particular nodes with language-relevant features.

transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer

Binarizes the tree according to options set up in the constructor.

transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeCollinizer
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams

Annotates a tree according to options.

transformTree(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer

Transforms t if it contains a coordination in a flat structure (CCtransform)
 and transforms UCP (UCPtransform).

transformTree(Tree) - Method in class edu.stanford.nlp.trees.DateTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.QPTreeTransformer

Right now (Jan 2013) we only deal with the following QP structures:

 QP (RB IN CD|DT ...)   well over, more than
 QP (JJR IN CD|DT ...)  fewer than
 QP (IN JJS CD|DT ...)  at least
 QP (...

transformTree(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.SynchronizedTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.TreeLeafLabelTransformer
 
transformTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer

Does whatever one needs to do to a particular tree.

transformTreeHelper(Tree) - Method in class edu.stanford.nlp.parser.lexparser.Debinarizer
 
traverseAndFix(Tree, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>) - Static method in class edu.stanford.nlp.international.french.pipeline.MWEPreprocessor
 
traverseLocate(Tree[], String[], boolean) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder

Attempt to locate head daughter tree from among daughters.

tree - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel
 
Tree - Class in edu.stanford.nlp.trees

The abstract class Tree is used to collect all of the
 tree types, and acts as a generic extendable type.

Tree() - Constructor for class edu.stanford.nlp.trees.Tree
 
TREE_FILTER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TREE_NORMALIZER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TREE_NORMALIZER - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TREE_RANGE - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TREE_RANGE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TREE_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
TREE_TRANSFORMER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TREE_TRANSFORMER - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TreeAnnotator - Class in edu.stanford.nlp.parser.lexparser

Performs non-language specific annotation of Trees.

TreeAnnotator(HeadFinder, TreebankLangParserParams, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotator
 
TreeAnnotatorAndBinarizer - Class in edu.stanford.nlp.parser.lexparser
 
TreeAnnotatorAndBinarizer(TreebankLangParserParams, boolean, boolean, boolean, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
TreeAnnotatorAndBinarizer(HeadFinder, HeadFinder, TreebankLangParserParams, boolean, boolean, boolean, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
treebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams

Implemented as required by TreebankFactory.

treebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams

Required to extend TreebankFactory

Treebank - Class in edu.stanford.nlp.trees

A Treebank object provides access to a corpus of examples with
 given tree structures.

Treebank() - Constructor for class edu.stanford.nlp.trees.Treebank

Create a new Treebank (using a LabeledScoredTreeReaderFactory).

Treebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.Treebank

Create a new Treebank.

Treebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.Treebank

Create a new Treebank.

Treebank(int) - Constructor for class edu.stanford.nlp.trees.Treebank

Create a new Treebank.

Treebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.Treebank

Create a new Treebank.

treebank - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
 
treebank() - Method in interface edu.stanford.nlp.trees.TreebankFactory

Returns a treebank instance

TreebankAnnotator - Class in edu.stanford.nlp.parser.lexparser

Class for getting an annotated treebank.

TreebankAnnotator(Options, String) - Constructor for class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
TreebankFactory - Interface in edu.stanford.nlp.trees

An interface for treebank vendors.

treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack

Returns the extension of treebank files for this treebank.

treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack

Returns the extension of treebank files for this treebank.

treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack

Returns the extension of treebank files for this treebank.

treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack

Returns the extension of treebank files for this treebank.

treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
treebankFileExtension() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack

Returns the extension of treebank files for this treebank.

treebankFileExtension() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack

Returns the extension of treebank files for this treebank.

TreebankLangParserParams - Interface in edu.stanford.nlp.parser.lexparser

Contains language-specific methods necessary to get the parser to parse
 an arbitrary treebank.

treebankLanguagePack() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams

Returns an appropriate treebankLanguagePack

treebankLanguagePack() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams

contains Treebank-specific (but not parser-specific) info such
 as what is punctuation, and also information about the structure
 of labels

treebankLanguagePack() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
treebankLanguagePack() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams

returns a TreebankLanguagePack containing Treebank-specific (but
 not parser-specific) info such as what is punctuation, and also
 information about the structure of labels

TreebankLanguagePack - Interface in edu.stanford.nlp.trees

This interface specifies language/treebank specific information for a
 Treebank, which a parser or other treebank user might need to know.

TreebankPreprocessor - Class in edu.stanford.nlp.trees.treebank

A data preparation pipeline for treebanks

TreeBinarizer - Class in edu.stanford.nlp.parser.lexparser

Binarizes trees in such a way that head-argument structure is respected.

TreeBinarizer(HeadFinder, TreebankLanguagePack, boolean, boolean, int, boolean, boolean, double, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeBinarizer

Build a custom binarizer for Trees.

TreeCollinizer - Class in edu.stanford.nlp.parser.lexparser

Does detransformations to a parsed sentence to map it back to the
 standard treebank form for output or evaluation.

TreeCollinizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
 
TreeCollinizer(TreebankLanguagePack, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
 
TreeCollinizer(TreebankLanguagePack, boolean, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
 
TreeCoreAnnotations - Class in edu.stanford.nlp.trees

Set of common annotations for CoreMaps 
 that require classes from the trees package.

TreeCoreAnnotations.HeadTagAnnotation - Class in edu.stanford.nlp.trees

The standard key for storing a head tag in the map as a pointer to
 another node.

TreeCoreAnnotations.HeadTagAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagAnnotation
 
TreeCoreAnnotations.HeadWordAnnotation - Class in edu.stanford.nlp.trees

The standard key for storing a head word in the map as a pointer to
 another node.

TreeCoreAnnotations.HeadWordAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordAnnotation
 
TreeCoreAnnotations.TreeAnnotation - Class in edu.stanford.nlp.trees

The CoreMap key for getting the syntactic parse tree of a sentence.

TreeCoreAnnotations.TreeAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation
 
treeFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode

Return a TreeFactory that produces trees of the
 same type as the current Tree.

treeFactory() - Method in class edu.stanford.nlp.trees.SimpleTree

Return a TreeFactory that produces trees of the
 SimpleTree type.

treeFactory() - Method in class edu.stanford.nlp.trees.Tree

Return a TreeFactory that produces trees of the
 appropriate type.

TreeFactory - Interface in edu.stanford.nlp.trees

A TreeFactory acts as a factory for creating objects of
 class Tree, or some descendant class.

treeFactory() - Method in class edu.stanford.nlp.trees.TreeGraphNode

Returns a TreeFactory that produces
 TreeGraphNodes.

treeFileExtension - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
 
treeFilter - Variable in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
 
TreeFilters - Class in edu.stanford.nlp.trees

A location for general implementations of Filter<Tree>.

TreeFilters.HasMatchingChild - Class in edu.stanford.nlp.trees
 
TreeFilters.HasMatchingChild(TreebankLanguagePack, String) - Constructor for class edu.stanford.nlp.trees.TreeFilters.HasMatchingChild
 
TreeFunctions - Class in edu.stanford.nlp.trees

This is a utility class which vends tree transformers to translate
 trees from one factory type to trees of another.

TreeGraph - Class in edu.stanford.nlp.trees

A TreeGraph is a tree with additional directed,
 labeled arcs between arbitrary pairs of nodes.

TreeGraph(Tree) - Constructor for class edu.stanford.nlp.trees.TreeGraph

Construct a new TreeGraph having the same tree
 structure and label values as an existing tree (but no shared
 storage).

TreeGraph(TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TreeGraph
 
treeGraph() - Method in class edu.stanford.nlp.trees.TreeGraphNode

Get the TreeGraph of which this node is a
 part.

TreeGraphNode - Class in edu.stanford.nlp.trees

A "TreeGraph" is a tree with additional directed, labeled arcs
 between arbitrary pairs of nodes.

TreeGraphNode() - Constructor for class edu.stanford.nlp.trees.TreeGraphNode

Create a new empty TreeGraphNode.

TreeGraphNode(Label) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode

Create a new TreeGraphNode with the supplied
 label.

TreeGraphNode(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode

Create a new TreeGraphNode with the supplied
 label and list of child nodes.

TreeGraphNode(Tree, TreeGraph) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode

Create a new TreeGraphNode having the same tree
 structure and label values as an existing tree (but no shared
 storage).

TreeGraphNode(TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
 
TreeGraphNode(Tree, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode

Create a new TreeGraphNode having the same tree
 structure and label values as an existing tree (but no shared
 storage).

TreeGraphNodeFactory - Class in edu.stanford.nlp.trees

A TreeGraphNodeFactory acts as a factory for creating
 nodes in a TreeGraph.

TreeGraphNodeFactory() - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory

Make a TreeFactory that produces
 TreeGraphNodes.

TreeGraphNodeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
 
TreeJPanel - Class in edu.stanford.nlp.parser.ui

Class for displaying a Tree.

TreeJPanel() - Constructor for class edu.stanford.nlp.parser.ui.TreeJPanel
 
TreeJPanel(int, int) - Constructor for class edu.stanford.nlp.parser.ui.TreeJPanel
 
TreeJPanel.WidthResult - Class in edu.stanford.nlp.parser.ui
 
TreeJPanel.WidthResult(double, double, double, double) - Constructor for class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
 
TreeLeafLabelTransformer - Class in edu.stanford.nlp.trees

Applies a Function to the labels in a tree.

TreeLeafLabelTransformer(Function<String, String>) - Constructor for class edu.stanford.nlp.trees.TreeLeafLabelTransformer
 
TreeLengthComparator - Class in edu.stanford.nlp.trees

A TreeLengthComparator orders trees by their yield sentence
 lengths.

TreeLengthComparator() - Constructor for class edu.stanford.nlp.trees.TreeLengthComparator

Create a new TreeLengthComparator.

treeMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
 
treeMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory

Return a MapFactory that returns an TreeMap.

TreeNormalizer - Class in edu.stanford.nlp.trees

A class for tree normalization.

TreeNormalizer() - Constructor for class edu.stanford.nlp.trees.TreeNormalizer
 
treePrint(TreebankLangParserParams) - Method in class edu.stanford.nlp.parser.lexparser.TestOptions

Determines method for print trees on output.

TreePrint - Class in edu.stanford.nlp.trees

A class for customizing the print method(s) for a
 edu.stanford.nlp.trees.Tree as the output of the
 parser.

TreePrint(String) - Constructor for class edu.stanford.nlp.trees.TreePrint

Construct a new TreePrint that will print the given formats.

TreePrint(String, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.TreePrint

Make a TreePrint instance with no options specified.

TreePrint(String, String, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.TreePrint

Make a TreePrint instance.

TreePrint(String, String, TreebankLanguagePack, HeadFinder, HeadFinder) - Constructor for class edu.stanford.nlp.trees.TreePrint

Make a TreePrint instance.

TreeReader - Interface in edu.stanford.nlp.trees

A TreeReader adds functionality to another Reader
 by reading in Trees, or some descendant class.

treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams

Creates an ArabicTreeReaderFactory with parameters set
 via options passed in from the command line.

treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams

Makes appropriate TreeReaderFactory with all options specified

treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
treeReaderFactory() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams

Returns a factory for reading in trees from the source you want.

treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack

Returns a TreeReaderFactory suitable for general purpose use
  with this language/treebank.

treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.Treebank

Get the TreeReaderFactory for a Treebank --
 this method is provided in order to make the
 TreeReaderFactory available to subclasses.

treeReaderFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack

Returns a TreeReaderFactory suitable for general purpose use
  with this language/treebank.

TreeReaderFactory - Interface in edu.stanford.nlp.trees

A TreeReaderFactory is a factory for creating objects of
 class TreeReader, or some descendant class.

Trees - Class in edu.stanford.nlp.trees

Various static utilities for the Tree class.

treeSet() - Static method in class edu.stanford.nlp.util.TwoDimensionalSet
 
treeSetFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
 
treeSkeletonCopy() - Method in class edu.stanford.nlp.trees.Tree

Create a deep copy of the tree structure.

treeSkeletonCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree

Create a deep copy of the tree structure.

TreeSpanScoring - Class in edu.stanford.nlp.parser.metrics

Provides a method for deciding how similar two trees are.

TreeTaggedFileReader - Class in edu.stanford.nlp.tagger.io
 
TreeTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
 
treeToDependencyHelper(Tree, List<IntDependency>, int, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar

Adds dependencies to list depList.

treeToDependencyList(Tree, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar

Returns the List of dependencies for a binarized Tree.

treeToEvents(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
treeTokenizerFactory() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
treeTokenizerFactory() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
treeTokenizerFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack

Return a TokenizerFactory for Trees of this language/treebank.

treeTokenizerFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack

Return a TokenizerFactory for Trees of this language/treebank.

TreeTokenizerFactory - Class in edu.stanford.nlp.trees

Wrapper for TreeReaderFactory.

TreeTokenizerFactory(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.TreeTokenizerFactory

Create a TreeTokenizerFactory from a TreeReaderFactory.

treeToLatex(Tree) - Static method in class edu.stanford.nlp.trees.Trees
 
treeToLatexEven(Tree) - Static method in class edu.stanford.nlp.trees.Trees
 
TreeTransformer - Interface in edu.stanford.nlp.trees

This is a simple interface for a function that alters a
 local Tree.

TreeVisitor - Interface in edu.stanford.nlp.trees

This is a simple strategy-type interface for operations that are applied to
 Tree.

TregexMatcher - Class in edu.stanford.nlp.trees.tregex

A TregexMatcher can be used to match a TregexPattern against a Tree.

TregexParseException - Exception in edu.stanford.nlp.trees.tregex

A runtime exception that indicates something went wrong parsing a
 tregex expression.

TregexParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.trees.tregex.TregexParseException
 
TregexPattern - Class in edu.stanford.nlp.trees.tregex

A TregexPattern is a tgrep-type pattern for matching tree
 node configurations.

TregexPattern.TRegexTreeReaderFactory - Class in edu.stanford.nlp.trees.tregex
 
TregexPattern.TRegexTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
 
TregexPattern.TRegexTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
 
TregexPatternCompiler - Class in edu.stanford.nlp.trees.tregex

A class for compiling TregexPatterns with specific HeadFinders and or
 basicCategoryFunctions.

TregexPatternCompiler() - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
 
TregexPatternCompiler(Function<String, String>) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler

A compiler that uses this basicCatFunction and the default HeadFinder.

TregexPatternCompiler(HeadFinder) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler

A compiler that uses this HeadFinder and the default basicCategoryFunction

TregexPatternCompiler(HeadFinder, Function<String, String>) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler

A compiler that uses this HeadFinder and this basicCategoryFunction

triggerAllHooks(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
triggerHooks(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
trim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils

Returns s if it's at most maxWidth chars, otherwise chops right side to fit.

trim(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
Triple<T1,T2,T3> - Class in edu.stanford.nlp.util

Class representing an ordered triple of objects, possibly typed.

Triple(T1, T2, T3) - Constructor for class edu.stanford.nlp.util.Triple
 
truncate(int, int, int) - Static method in class edu.stanford.nlp.util.StringUtils

This returns a string from decimal digit smallestDigit to decimal digit
 biggest digit.

Tsurgeon - Class in edu.stanford.nlp.trees.tregex.tsurgeon

Tsurgeon provides a way of editing trees based on a set of operations that
  are applied to tree locations matching a tregex pattern.

TsurgeonParseException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon

A runtime exception that indicates something went wrong parsing a
 tsurgeon expression.

TsurgeonParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParseException
 
TsurgeonParserTreeConstants - Interface in edu.stanford.nlp.trees.tregex.tsurgeon
 
TsurgeonPattern - Class in edu.stanford.nlp.trees.tregex.tsurgeon

An abstract class for patterns to manipulate Trees when
 successfully matched on with a TregexMatcher.

TSVTaggedFileReader - Class in edu.stanford.nlp.tagger.io
 
TSVTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
 
TueBaDZHeadFinder - Class in edu.stanford.nlp.trees.international.tuebadz

A HeadFinder for TueBa-D/Z.

TueBaDZHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
 
TueBaDZLanguagePack - Class in edu.stanford.nlp.trees.international.tuebadz

Language pack for the Tuebingen Treebank of Written German (TueBa-D/Z).

TueBaDZLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack

Gives a handle to the TreebankLanguagePack

TueBaDZLanguagePack(boolean) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack

Make a new language pack with grammatical functions used based on the value of leaveGF

TueBaDZLanguagePack(boolean, char) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack

Make a new language pack with grammatical functions used based on the value of leaveGF
 and marked with the character gfChar.

TueBaDZLanguagePack(boolean, boolean, char) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack

Make a new language pack with grammatical functions used based on the value of leaveGF
 and marked with the character gfChar.

TueBaDZParserParams - Class in edu.stanford.nlp.parser.lexparser

TreebankLangParserParams for the German Tuebingen corpus.

TueBaDZParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
 
TueBaDZPennTreeNormalizer - Class in edu.stanford.nlp.trees.international.tuebadz

Tree normalizer for the TueBaDZ treebank.

TueBaDZPennTreeNormalizer(TreebankLanguagePack, int) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
 
TueBaDZPennTreeNormalizer(TreebankLanguagePack, int, List<TreeNormalizer>) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
 
TueBaDZTreeReaderFactory - Class in edu.stanford.nlp.trees.international.tuebadz
 
TueBaDZTreeReaderFactory(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZTreeReaderFactory
 
TueBaDZTreeReaderFactory(TreebankLanguagePack, int) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZTreeReaderFactory
 
tune(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar

Default is no-op.

tune() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon

TODO: this used to actually score things based on the original trees

tune(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar

Tune free parameters on these trees.

tune(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar

Tune the smoothing and interpolation parameters of the dependency
  grammar based on a tuning treebank.

TwoDimensionalCounter<K1,K2> - Class in edu.stanford.nlp.stats

A class representing a mapping between pairs of typed objects and double
 values.

TwoDimensionalCounter() - Constructor for class edu.stanford.nlp.stats.TwoDimensionalCounter
 
TwoDimensionalCounter(MapFactory<K1, ClassicCounter<K2>>, MapFactory<K2, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalCounter
 
TwoDimensionalCounterInterface<K1,K2> - Interface in edu.stanford.nlp.stats

Interface representing a mapping between pairs of typed objects and double
 values.

TwoDimensionalIntCounter<K1,K2> - Class in edu.stanford.nlp.stats

A class representing a mapping between pairs of typed objects and int values.

TwoDimensionalIntCounter() - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
TwoDimensionalIntCounter(int) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
TwoDimensionalIntCounter(MapFactory<K1, IntCounter<K2>>, MapFactory<K2, MutableInteger>) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
TwoDimensionalIntCounter(MapFactory<K1, IntCounter<K2>>, MapFactory<K2, MutableInteger>, int) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
TwoDimensionalMap<K1,K2,V> - Class in edu.stanford.nlp.util
 
TwoDimensionalMap() - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
 
TwoDimensionalMap(TwoDimensionalMap<K1, K2, V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
 
TwoDimensionalMap(MapFactory<K1, Map<K2, V>>, MapFactory<K2, V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
 
TwoDimensionalMap.Entry<K1,K2,V> - Class in edu.stanford.nlp.util

This inner class represents a single entry in the TwoDimensionalMap.

TwoDimensionalSet<K1,K2> - Class in edu.stanford.nlp.util

Wrap a TwoDimensionalMap as a TwoDimensionalSet.

TwoDimensionalSet() - Constructor for class edu.stanford.nlp.util.TwoDimensionalSet
 
TwoDimensionalSet(TwoDimensionalMap<K1, K2, Boolean>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalSet
 
typedDependencies() - Method in class edu.stanford.nlp.semgraph.SemanticGraph

Returns a list of TypedDependency in the graph.

typedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
typedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure

Returns the typed dependencies of this grammatical structure.

typedDependencies(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure

Returns the typed dependencies of this grammatical structure.

typedDependenciesCCprocessed(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure

Get the typed dependencies after collapsing them and processing eventual
 CC complements.

typedDependenciesCCprocessed() - Method in class edu.stanford.nlp.trees.GrammaticalStructure

Get a list of the typed dependencies, including extras like control
 dependencies, collapsing them and distributing relations across
 coordination.

typedDependenciesCollapsed() - Method in class edu.stanford.nlp.trees.GrammaticalStructure

Get the typed dependencies after collapsing them.

typedDependenciesCollapsed(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure

Get the typed dependencies after collapsing them.

typedDependenciesCollapsedTree() - Method in class edu.stanford.nlp.trees.GrammaticalStructure

Get the typed dependencies after mostly collapsing them, but keep a tree
 structure.

TypedDependency - Class in edu.stanford.nlp.trees

A TypedDependency is a relation between two words in a
 GrammaticalStructure.

TypedDependency(GrammaticalRelation, TreeGraphNode, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TypedDependency
 
typedDependencyClasser() - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams

Returns an EquivalenceClasser that classes typed dependencies
  by the syntactic categories of mother, head and daughter,
  plus direction.

typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams

The HeadFinder to use when extracting typed dependencies.

typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
typedDependencyHeadFinder() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack

The HeadFinder to use when making typed dependencies.

typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack

The HeadFinder to use when making typed dependencies.

typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack

The HeadFinder to use when making typed dependencies.

typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack

The HeadFinder to use when making typed dependencies.

typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack

The HeadFinder to use when making typed dependencies.

typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack

The HeadFinder to use when making typed dependencies.

typedDependencyHeadFinder() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack

The HeadFinder to use when making typed dependencies.

typedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams

Returns a collection of word-word dependencies typed by mother, head, daughter node syntactic categories.

typeEquals(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
TypesafeMap - Interface in edu.stanford.nlp.util

Type signature for a class that supports the basic operations required
 of a typesafe heterogeneous map.

TypesafeMap.Key<VALUE> - Interface in edu.stanford.nlp.util

Base type of keys for the map.





U

UCPtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer

Transforms t if it contains an UCP, it will change the UCP tag
 into the phrasal tag of the first word of the UCP
 (UCP (JJ electronic) (, ,) (NN computer) (CC and) (NN building))
 will become
 (ADJP (JJ electronic) (, ,) (NN computer) (CC and) (NN building))

ug - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
ug - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
ug - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
unaryCP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
unaryDT - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain

Mark "Intransitive" DT.

UnaryGrammar - Class in edu.stanford.nlp.parser.lexparser

Maintains efficient indexing of unary grammar rules.

UnaryGrammar(Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
unaryIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain

Mark "Intransitive" IN.

unaryIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams

Chinese: unary category marking

unaryPRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain

"Intransitive" PRP.

unaryRB - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain

Mark "Intransitive" RB.

UnaryRule - Class in edu.stanford.nlp.parser.lexparser

Unary grammar rules (with ints for parent and child).

UnaryRule(int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.UnaryRule

The score is set to Float.NaN by default.

UnaryRule(int, int, double) - Constructor for class edu.stanford.nlp.parser.lexparser.UnaryRule
 
UnaryRule(String, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.UnaryRule

Decode a UnaryRule out of a String representation with help from
  an Index.

unaryScore - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
 
unaryScoreIndex(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
unaryTransform - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
 
unaryTransformIndex(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
unbox(Collection<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
unboxToInt(Collection<Integer>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
uncheckedCast(Object) - Static method in class edu.stanford.nlp.util.ErasureUtils

Casts an Object to a T

UNDERLINE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
unEscape(String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils

Reverts escaping from a flat string.

unescapeStringForXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
unicodeToBuckwalter(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
 
union(C, C) - Static method in class edu.stanford.nlp.stats.Counters

Returns a Counter that is the union of the two Counters passed in (counts
 are added).

union(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
union(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets

Returns the union of sets s1 and s2.

unionAsSet(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
uniqueNonhashableObjects(Collection<ObjType>, Function<ObjType, Hashable>) - Static method in class edu.stanford.nlp.util.CollectionUtils

Makes it possible to uniquify a collection of objects which are normally
 non-hashable.

UniversalPOSMapper - Class in edu.stanford.nlp.international.arabic.pipeline

Maps LDC-provided Bies mappings to the Universal POS tag set described in
  
   Slav Petrov, Dipanjan Das and Ryan McDonald.

UniversalPOSMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.UniversalPOSMapper
 
unknown - Static variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
unknown - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
 
UNKNOWN_WORD - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
unknownCapsVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

Whether or not to build an unknown word vector for words with caps in them

unknownChineseNumberVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

Whether or not to build an unknown word vector to match Chinese numbers

unknownChinesePercentVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

Whether or not to build an unknown word vector to match Chinese percentages

unknownChineseYearVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

Whether or not to build an unknown word vector to match Chinese years

unknownDashedWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

Whether or not to handle unknown dashed words by taking the last part

UnknownGTTrainer - Class in edu.stanford.nlp.parser.lexparser

This class trains a Good-Turing model for unknown words from a
 collection of trees.

UnknownGTTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
unknownLevel - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel

What type of equivalence classing is done in getSignature

unknownNumberVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

Whether or not to build an unknown word vector specifically for numbers

unknownPrefixSize - Variable in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
 
unknownPrefixSize - Variable in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
 
unknownPrefixSize - Variable in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
 
unknownPrefixSize - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions

For certain Lexicons, a certain number of word-initial letters are
  used to subclassify the unknown token.

unknownSuffixSize - Variable in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
 
unknownSuffixSize - Variable in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
 
unknownSuffixSize - Variable in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
 
unknownSuffixSize - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions

For certain Lexicons, a certain number of word-final letters are
  used to subclassify the unknown token.

UnknownWordModel - Interface in edu.stanford.nlp.parser.lexparser
 
UnknownWordModelTrainer - Interface in edu.stanford.nlp.parser.lexparser

An interface for training an UnknownWordModel.

UnknownWordPrinter - Class in edu.stanford.nlp.parser.dvparser

Prints out words which are unknown to the DVParser.

UnknownWordPrinter(DVModel) - Constructor for class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
 
unkWord - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions

Some models will use external data sources which contain
 information about unknown words.

UnlabeledAttachmentEval - Class in edu.stanford.nlp.parser.metrics

Dependency unlabeled attachment score.

UnlabeledAttachmentEval(String, boolean, HeadFinder) - Constructor for class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
 
UnlabeledAttachmentEval(String, boolean, HeadFinder, Filter<String>) - Constructor for class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
 
unlock() - Method in class edu.stanford.nlp.util.DeltaIndex
 
unlock() - Method in class edu.stanford.nlp.util.HashIndex

Unlocks the Index.

unlock() - Method in interface edu.stanford.nlp.util.Index

Unlocks the Index.

unmodifiableCounter(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters

Returns unmodifiable view of the counter.

unmodifiableView() - Method in class edu.stanford.nlp.util.HashIndex

Returns an unmodifiable view of the Index.

UnnamedConcreteDependency - Class in edu.stanford.nlp.trees

An individual dependency between a head and a dependent.

UnnamedConcreteDependency(String, int, String, int) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedConcreteDependency(Label, int, Label, int) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedConcreteDependency(Label, Label) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedDependency - Class in edu.stanford.nlp.trees

An individual dependency between a head and a dependent.

UnnamedDependency(String, String) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
UnnamedDependency(Label, Label) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
unorderedTypedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams

Returns a collection of unordered (but directed!) typed word-word dependencies for the tree.

unorderedUntypedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams

Returns a collection of unordered (but directed!) untyped word-word dependencies for the tree.

unprocess(String) - Static method in class edu.stanford.nlp.process.PTBEscapingProcessor
 
unread() - Method in class edu.stanford.nlp.util.StringParsingTask
 
unSeenCounter - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel

Has counts for taggings in terms of unseen signatures.

unSeenCounter() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
unSeenCounter() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
 
unseenSmooth - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions

The amount of smoothing put in (as an m-estimate) for unknown words.

UNTOKENIZED_CHINESE - Static variable in class edu.stanford.nlp.parser.ui.ParserPanel
 
UNTOKENIZED_ENGLISH - Static variable in class edu.stanford.nlp.parser.ui.ParserPanel
 
untypedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams

Returns a collection of untyped word-word dependencies for the tree.

update(double[], double[], double[], double[], double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
update(double[], double[], double, double, double, double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
updateTagger(TwoDimensionalCounter<String, String>, Tree) - Static method in class edu.stanford.nlp.international.french.pipeline.MWEPreprocessor
 
upperMostUnary(Tree) - Method in class edu.stanford.nlp.trees.Tree

Return the highest node of the (perhaps trivial) unary chain that
  this node is part of.

useBacktracking() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useCharacterBasedLexicon - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useCharBasedUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseLexicon
 
useCharBasedUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useCoarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
useCoarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor

Whether dependent distance is distinguished more coarsely.

useContextWords - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useDistance - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
useDistance - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor

Whether dependent distance from head is distinguished.

useFastFactored - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions

If true, use approximate factored algorithm, which just rescores
  PCFG k best, rather than exact factored algorithm.

useFirst - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
useGoodTuringUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseLexicon
 
useGoodTuringUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useGT - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
useLexiconToScoreDependencyPwGt - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions

If this is true, the Lexicon is used to score P(w|t) in the backoff inside the
  dependency grammar.

USEMAX - Static variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
useMaxentDepGrammar - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useMaxentLexicon - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useMinPackSearch() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useN5 - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions

If true, the n^4 "speed-up" is not used with the Factored Parser.

useNewBetas(boolean, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
useNonProjectiveDependencyParser - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions

If this is true, perform non-projective dependency parsing.

useOWLQN(boolean, double) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
userRoot() - Method in class edu.stanford.nlp.util.DisabledPreferencesFactory
 
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useSignatureForKnownSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
useSignatureForKnownSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions

Whether to use signature rather than just being unknown as prior in
  known word smoothing.

useSimilarWordMap - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useSmoothTagProjection - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
useStdin() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig

Returns whether or not we should use stdin for reading when
 tagging data.

USESUM - Static variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
useUnicodeType - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions

Make use of unicode code point types in smoothing.

useUnigramWordSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
useUnknownCharacterModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useUnknownWordSignatures - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions

Whether to use suffix and capitalization information for unknowns.

UTF8EquivalenceFunction - Class in edu.stanford.nlp.util

A word function that can be applied to Chinese text in the tagger
 or similar systems to make it treat ( and （ the same.

UTF8EquivalenceFunction() - Constructor for class edu.stanford.nlp.util.UTF8EquivalenceFunction
 
uwModel - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
uwModelTrainer - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
uwModelTrainer - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions

Model for unknown words that the lexicon should use.

uwModelTrainerClass - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 




V

valenceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
validateBinarizedTree(Tree, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
value() - Method in class edu.stanford.nlp.ling.CoreLabel

Return a String representation of just the "main" value of this label.

value() - Method in interface edu.stanford.nlp.ling.Label

Return a String representation of just the "main" value of this label.

value() - Method in class edu.stanford.nlp.ling.StringLabel

Return the word value of the label (or null if none).

value() - Method in class edu.stanford.nlp.ling.ValueLabel

Return the value of the label (or null if none).

value() - Method in class edu.stanford.nlp.ling.WordLemmaTag

Return a String representation of just the "main" value of this Label.

value() - Method in class edu.stanford.nlp.ling.WordTag

Return a String representation of just the "main" value of this label.

value - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
value() - Method in class edu.stanford.nlp.trees.Constituent

Return the value of the label (or null if none).

value() - Method in class edu.stanford.nlp.trees.Tree
 
VALUE_FORMAT - Static variable in class edu.stanford.nlp.ling.IndexedWord
 
valueAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
valueAt(float[]) - Method in interface edu.stanford.nlp.optimization.FloatFunction

Returns the value of the function at a single point.

valueAt(double[]) - Method in interface edu.stanford.nlp.optimization.Function

Returns the value of the function at a single point.

valueIterator() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
ValueLabel - Class in edu.stanford.nlp.ling

A ValueLabel object acts as a Label with linguistic
 attributes.

ValueLabel() - Constructor for class edu.stanford.nlp.ling.ValueLabel
 
valueOf(String) - Static method in enum edu.stanford.nlp.international.Languages.Language

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.international.morph.MorphoFeatureSpecification.MorphoFeatureType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.ling.CoreAnnotations.SRL_ID

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in class edu.stanford.nlp.ling.WordTag
 
valueOf(String, String) - Static method in class edu.stanford.nlp.ling.WordTag
 
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eLineSearch

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eScaling

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eState

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.parser.lexparser.TrainOptions.TransformMatrixType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.process.DocumentPreprocessor.DocType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraph

Tries to parse a String representing a SemanticGraph.

valueOf(String) - Static method in enum edu.stanford.nlp.tagger.io.TaggedFileRecord.Format

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.tagger.maxent.TaggerConfig.Mode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations

Returns the EnglishGrammaticalRelation having the given string
 representation (e.g.

valueOf(Object) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations

Returns an EnglishGrammaticalRelation based on the argument.

valueOf(String) - Static method in enum edu.stanford.nlp.trees.GrammaticalRelation.Language

Returns the enum constant of this type with the specified name.

valueOf(String, Collection<GrammaticalRelation>) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation

Returns the GrammaticalRelation having the given string
 representation (e.g.

valueOf(GrammaticalRelation.Language, String) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation

Convert from a String representation of a GrammaticalRelation to a
  GrammaticalRelation.

valueOf(String) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
 
valueOf(String) - Static method in enum edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder.TagSet

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
 
valueOf(String) - Static method in class edu.stanford.nlp.trees.Tree

This gives you a tree from a String representation (as a
 bracketed Tree, of the kind produced by toString(),
 pennPrint(), or as in the Penn Treebank).

valueOf(String, TreeReaderFactory) - Static method in class edu.stanford.nlp.trees.Tree

This gives you a tree from a String representation (as a
 bracketed Tree, of the kind produced by toString(),
 pennPrint(), or as in the Penn Treebank.

valueOf(String) - Static method in enum edu.stanford.nlp.trees.treebank.Dataset.Encoding

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.util.Interval.RelType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Color

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Redwood.Flag

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Style

Returns the enum constant of this type with the specified name.

valueOfIgnoreComments(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter

Returns the Counter over Strings specified by this String.

values() - Static method in enum edu.stanford.nlp.international.Languages.Language

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.international.morph.MorphoFeatureSpecification.MorphoFeatureType

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.ling.CoreAnnotations.SRL_ID

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eLineSearch

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eScaling

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eState

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.parser.lexparser.TrainOptions.TransformMatrixType

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.process.DocumentPreprocessor.DocType

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Method in class edu.stanford.nlp.stats.ClassicCounter

Returns a copy of the values currently in this counter.

values() - Method in interface edu.stanford.nlp.stats.Counter

Returns a copy of the values currently in this counter.

values() - Method in class edu.stanford.nlp.stats.IntCounter
 
values() - Static method in enum edu.stanford.nlp.tagger.io.TaggedFileRecord.Format

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.tagger.maxent.TaggerConfig.Mode

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
values(boolean) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
values() - Static method in enum edu.stanford.nlp.trees.GrammaticalRelation.Language

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder.TagSet

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
 
values() - Static method in enum edu.stanford.nlp.trees.treebank.Dataset.Encoding

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
values() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
values() - Static method in enum edu.stanford.nlp.util.Interval.RelType

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.util.logging.Color

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.util.logging.Redwood.Flag

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Static method in enum edu.stanford.nlp.util.logging.Style

Returns an array containing the constants of this enum type, in
the order they are declared.

values() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
values() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
valuesLock - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
valuesLock() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
valueSplit(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils

Split a string into tokens.

variance(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
vectorToParams(double[], Iterator<SimpleMatrix>...) - Static method in class edu.stanford.nlp.parser.dvparser.DVModel
 
vectorToParams(double[]) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
VERB_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations

The "coordinated verb compound" grammatical relation.

VERBOSE - Static variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
VERBOSE - Static variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
VERBOSE - Static variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
 
verbose - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
verbose - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions

Print a lot of extra output as you parse.

VERBOSE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
VERBOSE - Static variable in class edu.stanford.nlp.trees.DependencyScoring
 
VERBOSE_RESULTS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
verbSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
verify() - Method in class edu.stanford.nlp.util.ArrayHeap
 
vertexListSorted() - Method in class edu.stanford.nlp.semgraph.SemanticGraph

This returns an ordered list of vertices (based upon their
 indices in the sentence).

vertexSet() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
VERTICAL_ALIGN - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel
 
VERY_COMMON_WORD_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
VERY_VERBOSE - Static variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
VisibilityHandler - Class in edu.stanford.nlp.util.logging

A filter for selecting which channels are visible.

VisibilityHandler() - Constructor for class edu.stanford.nlp.util.logging.VisibilityHandler
 
VisibilityHandler(Object[]) - Constructor for class edu.stanford.nlp.util.logging.VisibilityHandler
 
visitTree(Tree) - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
 
visitTree(Tree) - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBCorrectorVisitor
 
visitTree(Tree) - Method in class edu.stanford.nlp.international.arabic.pipeline.MWETreeVisitor
 
visitTree(Tree) - Method in class edu.stanford.nlp.international.french.pipeline.FTBCorrectorVisitor
 
visitTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats

Does whatever one needs to do to a particular parse tree

visitTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats

Does whatever one needs to do to a particular parse tree

visitTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeVisitor

Does whatever one needs to do to a particular parse tree.

visitTree(Tree) - Method in class edu.stanford.nlp.trees.WordStemmer
 
ViterbiParser - Interface in edu.stanford.nlp.parser

The interface for Viterbi parsers.

ViterbiParserWithOptions - Interface in edu.stanford.nlp.parser

The interface for Viterbi parsers with options.

vpSubCat - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain

Pitiful attempt at marking V* preterms with their surface subcat
 frames.





W

WARN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
warn(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
WARN - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
wasSuccessful() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
weakHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory

Return a MapFactory that returns a WeakHashMap.

weight - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
WHITE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
WHITE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
WHITEPLUS - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
WhitespaceTokenizer<T extends HasWord> - Class in edu.stanford.nlp.process

A WhitespaceTokenizer is a tokenizer that splits on and discards only
 whitespace characters.

WhitespaceTokenizer(LexedTokenFactory, Reader, boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer

Constructs a new WhitespaceTokenizer

WhitespaceTokenizer.WhitespaceTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.process

A factory which vends WhitespaceTokenizers.

WhitespaceTokenizer.WhitespaceTokenizerFactory(LexedTokenFactory<T>) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
WhitespaceTokenizer.WhitespaceTokenizerFactory(LexedTokenFactory<T>, String) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
WhitespaceTokenizer.WhitespaceTokenizerFactory(LexedTokenFactory<T>, boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
wideLExtent - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
wideRExtent - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
width(Tree, FontMetrics) - Static method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
width - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
 
widthResult(Tree, FontMetrics) - Static method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
wildTW - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
word - Variable in class edu.stanford.nlp.ling.CategoryWordTag
 
word() - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
word() - Method in class edu.stanford.nlp.ling.CoreLabel

Return the word value of the label (or null if none).

word() - Method in interface edu.stanford.nlp.ling.HasWord

Return the word value of the label (or null if none).

Word - Class in edu.stanford.nlp.ling

A Word object acts as a Label by containing a String.

Word() - Constructor for class edu.stanford.nlp.ling.Word

Construct a new word with a null value.

Word(String) - Constructor for class edu.stanford.nlp.ling.Word

Construct a new word, with the given value.

Word(String, int, int) - Constructor for class edu.stanford.nlp.ling.Word

Construct a new word, with the given value.

Word(Label) - Constructor for class edu.stanford.nlp.ling.Word

Creates a new word whose word value is the value of any
 class that supports the Label interface.

word() - Method in class edu.stanford.nlp.ling.Word
 
word() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
word() - Method in class edu.stanford.nlp.ling.WordTag
 
word() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
word - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
word - Variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
word() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
word - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
WORD_COLUMN - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
WORD_FORMAT - Static variable in class edu.stanford.nlp.ling.IndexedWord

Various printing options for toString

WORD_FUNCTION - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
WORD_TAG_FORMAT - Static variable in class edu.stanford.nlp.ling.IndexedWord
 
WORD_TAG_INDEX_FORMAT - Static variable in class edu.stanford.nlp.ling.IndexedWord
 
wordClassesFile - Variable in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
 
wordClassesFile - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions

A file of word class data which may be used for smoothing,
  normally instead of hand-specified signatures.

WordFactory - Class in edu.stanford.nlp.ling

A WordFactory acts as a factory for creating objects of
 class Word.

WordFactory() - Constructor for class edu.stanford.nlp.ling.WordFactory

Creates a new WordFactory.

wordFunction - Variable in class edu.stanford.nlp.parser.lexparser.Options

A function that maps words used in training and testing to new
 words.

wordId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
WordLemmaTag - Class in edu.stanford.nlp.ling

A WordLemmaTag corresponds to a pair of a tagged (e.g., for part of speech)
 word and its lemma.

WordLemmaTag(String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag(Label) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag() - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag(String, String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag

Create a new WordLemmaTag.

WordLemmaTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag

Create a new WordLemmaTag.

WordLemmaTag(Label, Label) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag

Create a new WordLemmaTag from a Label.

WordLemmaTagFactory - Class in edu.stanford.nlp.ling

/**
 A WordLemmaTagFactory acts as a factory for creating
 objects of class WordLemmaTag.

WordLemmaTagFactory() - Constructor for class edu.stanford.nlp.ling.WordLemmaTagFactory

Create a new WordLemmaTagFactory.

WordLemmaTagFactory(char) - Constructor for class edu.stanford.nlp.ling.WordLemmaTagFactory

Create a new WordLemmaTagFactory.

WordNetConnection - Interface in edu.stanford.nlp.trees

Allows us to verify that a wordnet connection is available without compile
 time errors if the package is not found.

wordNetContains(String) - Method in interface edu.stanford.nlp.trees.WordNetConnection
 
words - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
words - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
words - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
WordSegmenter - Interface in edu.stanford.nlp.process

An interface for segmenting strings into words
  (in unwordsegmented languages).

WordSegmentingTokenizer - Class in edu.stanford.nlp.process

A tokenizer that works by calling a WordSegmenter.

WordSegmentingTokenizer(WordSegmenter, Reader) - Constructor for class edu.stanford.nlp.process.WordSegmentingTokenizer
 
WordSegmentingTokenizer(WordSegmenter, Tokenizer<CoreLabel>) - Constructor for class edu.stanford.nlp.process.WordSegmentingTokenizer
 
wordShape(String, int) - Static method in class edu.stanford.nlp.process.WordShapeClassifier

Specify the String and the int identifying which word shaper to
 use and this returns the result of using that wordshaper on the String.

wordShape(String, int, Collection<String>) - Static method in class edu.stanford.nlp.process.WordShapeClassifier

Specify the string and the int identifying which word shaper to
 use and this returns the result of using that wordshaper on the String.

WORDSHAPECHINESE - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS2USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS3 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS3USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS4 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeChris4(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
WordShapeClassifier - Class in edu.stanford.nlp.process

Provides static methods which
 map any String to another String indicative of its "word shape" -- e.g.,
 whether capitalized, numeric, etc.

WORDSHAPECLUSTER1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2BIO - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2BIOUSELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDIGITS - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEJENNY1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEJENNY1USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordsInSpan - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
WordStemmer - Class in edu.stanford.nlp.trees

Stems the Words in a Tree using Morphology.

WordStemmer() - Constructor for class edu.stanford.nlp.trees.WordStemmer
 
wordsToSentences(List<? extends IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor

Returns a List of Lists where each element is built from a run
 of Words in the input Document.

wordString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
WordTag - Class in edu.stanford.nlp.ling

A WordTag corresponds to a tagged (e.g., for part of speech) word
 and is implemented with String-valued word and tag.

WordTag(String, String) - Constructor for class edu.stanford.nlp.ling.WordTag

Create a new WordTag.

WordTag(String) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(E) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag() - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(Label, Label) - Constructor for class edu.stanford.nlp.ling.WordTag

Create a new WordTag from a Label.

WordTagFactory - Class in edu.stanford.nlp.ling

A WordTagFactory acts as a factory for creating
 objects of class WordTag.

WordTagFactory() - Constructor for class edu.stanford.nlp.ling.WordTagFactory

Create a new WordTagFactory.

WordTagFactory(char) - Constructor for class edu.stanford.nlp.ling.WordTagFactory

Create a new WordTagFactory.

WordTokenFactory - Class in edu.stanford.nlp.process

Constructs a Word from a String.

WordTokenFactory() - Constructor for class edu.stanford.nlp.process.WordTokenFactory
 
WordToSentenceProcessor<IN> - Class in edu.stanford.nlp.process

Transforms a Document of Words into a Document of Sentences by grouping the
 Words.

WordToSentenceProcessor() - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor

Create a WordToSentenceProcessor using a sensible default
 list of tokens to split on for English/Latin writing systems.

WordToSentenceProcessor(String) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor

Flexibly set the set of acceptable sentence boundary tokens, but with
 a default set of allowed boundary following tokens and sentence boundary
 to discard tokens (based on English and Penn Treebank encoding).

WordToSentenceProcessor(String, Set<String>, Set<String>) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor

Flexibly set the set of acceptable sentence boundary tokens,
 the set of tokens commonly following sentence boundaries, and also
 the set of tokens that are sentences boundaries that should be
 discarded.

wordToString(T, boolean) - Static method in class edu.stanford.nlp.ling.Sentence
 
wordToString(T, boolean, String) - Static method in class edu.stanford.nlp.ling.Sentence
 
WordToTaggedWordProcessor<IN extends HasWord,L,F> - Class in edu.stanford.nlp.process

Transforms a Document of Words into a document all or partly of
 TaggedWords by breaking words on a tag divider character.

WordToTaggedWordProcessor() - Constructor for class edu.stanford.nlp.process.WordToTaggedWordProcessor

Create a WordToTaggedWordProcessor using the default
 forward slash character to split on.

WordToTaggedWordProcessor(char) - Constructor for class edu.stanford.nlp.process.WordToTaggedWordProcessor

Flexibly set the tag splitting chars.

wordVectorFile - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
 
wordVectors - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
 
write(int) - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
 
writeAllData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar

Writes out a lot of redundant data from this Object to the Writer w.

writeData(PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar

Default is to throw exception.

writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon

Writes out data from this Object to the Writer w.

writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar

Writes out data from this Object to the Writer w.

writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
writeData(PrintWriter) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar

Write to text grammar.

writeData(Writer) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon

Write the lexicon in human-readable format to the Writer.

writeData(PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar

Writes out data from this Object to the Writer w.

writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.Options
 
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar

Writes out data from this Object.

writeEVALBline(Tree, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
writeFile(TransducerGraph, String, String) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
writeObjectToFile(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils

Write object to a file with the specified name.

writeObjectToFile(Object, File) - Static method in class edu.stanford.nlp.io.IOUtils

Write an object to a specified File.

writeObjectToFile(Object, File, boolean) - Static method in class edu.stanford.nlp.io.IOUtils

Write an object to a specified File.

writeObjectToFileNoExceptions(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils

Write object to a file with the specified name.

writeObjectToTempFile(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils

Write object to temp file which is destroyed when the program exits.

writeObjectToTempFileNoExceptions(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils

Write object to a temp file and ignore exceptions.

writeOutputFiles - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions

If true, write files parsed to a new file with the same name except
  for an added ".stp" extension.

writeStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
writeStreamToStream(InputStream, OutputStream) - Static method in class edu.stanford.nlp.io.IOUtils

Send all bytes from the input stream to the output stream.

writeStringToFile(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils

Writes a string to a file.

writeStringToFileNoExceptions(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils

Writes a string to a file, squashing exceptions

writeStringToTempFile(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils

Writes a string to a temporary file

writeStringToTempFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils

Writes a string to a temporary file, as UTF-8

writeStringToTempFileNoExceptions(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils

Writes a string to a temporary file, squashing exceptions

writeStringToTempFileNoExceptions(String, String) - Static method in class edu.stanford.nlp.io.IOUtils

Writes a string to a temporary file with UTF-8 encoding, squashing exceptions

writeTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
writeTrees(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 




X

XCLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations

An open clausal complement (xcomp) of a VP or an ADJP is a clausal
 complement without its own subject, whose reference is determined by an
 external subject.

XCLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations

The "xclausal complement" grammatical relation.

XML_INPUT - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
XMLBeginEndIterator<E> - Class in edu.stanford.nlp.objectbank

A class which iterates over Strings occurring between the begin and end of
 a selected tag or tags.

XMLBeginEndIterator(Reader, String) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, Function<String, E>, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, Function<String, E>, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, Function<String, E>, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLUtils - Class in edu.stanford.nlp.util

Provides some utilities for dealing with XML files, both by properly
 parsing them and by using the methods of a desperate Perl hacker.

XMLUtils.XMLTag - Class in edu.stanford.nlp.util
 
XMLUtils.XMLTag(String) - Constructor for class edu.stanford.nlp.util.XMLUtils.XMLTag

Assumes that String contains an XML tag.

xTree(List<? extends HasWord>) - Static method in class edu.stanford.nlp.pipeline.ParserAnnotatorUtils

Construct a fall through tree in case we can't parse this sentence





Y

YELLOW - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
yield() - Method in class edu.stanford.nlp.trees.Tree

Gets the yield of the tree.

yield(ArrayList<Label>) - Method in class edu.stanford.nlp.trees.Tree

Gets the yield of the tree.

yield(List<T>) - Method in class edu.stanford.nlp.trees.Tree

Gets the yield of the tree.

yieldHasWord() - Method in class edu.stanford.nlp.trees.Tree
 
yieldHasWord(ArrayList<X>) - Method in class edu.stanford.nlp.trees.Tree
 
yieldWords() - Method in class edu.stanford.nlp.trees.Tree
 
yieldWords(ArrayList<Word>) - Method in class edu.stanford.nlp.trees.Tree
 
yylex() - Method in interface edu.stanford.nlp.io.Lexer

Gets the next token from input and returns an integer value
 signalling what to do with the token.

yyreset(Reader) - Method in interface edu.stanford.nlp.io.Lexer

put a Reader inside the Lexer.

yytext() - Method in interface edu.stanford.nlp.io.Lexer

returns the matched input text region





Z

ZERO_TGN_CHILDREN - Static variable in class edu.stanford.nlp.trees.TreeGraphNode

A leaf node should have a zero-length array for its
 children.


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