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## A

ABBREVIATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "abbreviation modifier" grammatical relation.
absoluteDifference(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
  Returns |c1 - c2|.
AbstractCollinsHeadFinder - Class in edu.stanford.nlp.trees
  A base class for Head Finders similar to the one described in Michael Collins' 1999 thesis.
AbstractCollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
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
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.
accept(File) - Method in class edu.stanford.nlp.io.ExtensionFileFilter
  Checks whether a file satisfies the selection filter.
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.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(T) - Method in interface edu.stanford.nlp.util.Filter
  Checks if the given object passes the filter.
acceptFilter() - Static method in class edu.stanford.nlp.util.Filters
  The acceptFilter accepts everything.
adaptFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
  NER adapation (Gaussian prior) parameters.
adaptSigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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(Experiments) - Method in class edu.stanford.nlp.maxent.Experiments
add(Feature) - Method in class edu.stanford.nlp.maxent.Features
add(Feature) - Method in class edu.stanford.nlp.maxent.Problem
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) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
add(String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
add(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
  Adds a FeatureKey to the set of known FeatureKeys.
add(int, History, int) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
add(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
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.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, 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 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_escapes(String) - Method in exception edu.stanford.nlp.trees.tregex.ParseException
  Used to convert raw characters to their escaped version when these raw version cannot be used as part of an ASCII string literal.
add_escapes(String) - Method in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
  Used to convert raw characters to their escaped version when these raw version cannot be used as part of an ASCII string literal.
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(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(TwoDimensionalCounter<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
addAll(K1, ClassicCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
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(Map<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
  Adds all of the mappings in m to this 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.HashIndex
  Adds every member of Collection to the Index.
addAll(Collection<? extends E>) - Method in interface edu.stanford.nlp.util.Index
addArc(Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode
  Add a labeled arc from this node to the argument node.
addChild(int, Tree) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Leaves have no children.
addChild(Tree) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Leaves have no children.
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.
addEscapes(String) - Static method in error edu.stanford.nlp.trees.tregex.TokenMgrError
  Replaces unprintable characters by their escaped (or unicode escaped) equivalents in the given string
addEscapes(String) - Static method in error edu.stanford.nlp.trees.tregex.tsurgeon.TokenMgrError
  Replaces unprintable characters by their escaped (or unicode escaped) equivalents in the given string
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 target.
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]
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.
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.
addMultInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
  Add c times the array 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.
addPositions(int, int, FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
addPrev(int, History) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
addTransformer(TreeTransformer) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
addVThatTaking(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
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.
ADJOIN - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
ADJOIN_TO_FOOT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
ADJOIN_TO_HEAD - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
adjustBeginLineColumn(int, int) - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Method to adjust line and column numbers for the start of a token.
adjustBeginLineColumn(int, int) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Method to adjust line and column numbers for the start of a token.
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "adverbial clause modifier" grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "adverbial modifier" grammatical relation.
after() - Method in class edu.stanford.nlp.ling.CoreLabel
  Return the String after the word.
after() - Method in interface edu.stanford.nlp.ling.HasContext
  Return the String after the word.
AGENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "agent" grammatical relation.
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
altAnswerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
AmbiguityClass - Class in edu.stanford.nlp.tagger.maxent
  An ambiguity class for a word is the word by itself or its set of observed tags.
AmbiguityClass() - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
AmbiguityClass(String) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
AmbiguityClass(String, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
AmbiguityClasses - Class in edu.stanford.nlp.tagger.maxent
  A collection of Ambiguity Class.
AmbiguityClasses() - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
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).
annealingRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
annealingType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
AnnotationLookup - Class in edu.stanford.nlp.ling
AnnotationLookup.KeyLookup - Enum in edu.stanford.nlp.ling
announceObjectBankEntries - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
answerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
append(String[], String) - Static method in class edu.stanford.nlp.tagger.maxent.TestSentence
appendAfter(String) - Method in class edu.stanford.nlp.ling.CoreLabel
  Append this String to the current after String
appendAfter(String) - Method in interface edu.stanford.nlp.ling.HasContext
  Append this String to the current after String
apply(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
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
  Unescape a List of HasWords.
apply(Sentence<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Expects a sentence and returns a tagged sentence.
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.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.
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.
arcLabelsToNode(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode
  Finds all arcs between this node and `destNode`, and returns the `Set` of `Object`s 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.
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(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(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
  Analagous to `StringUtils.argsToMap(java.lang.String[])`.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "argument" grammatical relation.
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 MapNLPObject, 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.
arrayListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
  Return a factory for making ArrayList Collections.
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
ArrayUtils - Class in edu.stanford.nlp.util
  Static utility methods for operating on arrays.
ArrayWrapper<E> - Class in edu.stanford.nlp.util
  Wraps an array.
ArrayWrapper(E...) - Constructor for class edu.stanford.nlp.util.ArrayWrapper
ASBCDict - Class in edu.stanford.nlp.tagger.maxent
ASBCunkDict - Class in edu.stanford.nlp.tagger.maxent
asciiToChar(byte) - Static method in class edu.stanford.nlp.maxent.Convert
asciiToNative(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
asciiToNative(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
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.
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
asIntOutputFormat(String) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
  Convert a String expressing an output format to its internal coding as an int constant.
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(Object...) - Static method in class edu.stanford.nlp.util.CollectionUtils
  Returns a new List containing the specified objects.
asMap(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
  Returns a map view of the given counter.
asPrimitiveDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.ArrayUtils
asPrimitiveIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.ArrayUtils
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.
aStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.maxent.Convert
aStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
aStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
attributes - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
ATTRIBUTIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "attributive" grammatical relation.
augmentedDateChars - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "auxiliary" grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "passive auxiliary" grammatical relation.
auxTrueCaseModels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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

backgroundSymbol - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
backup(int) - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Backup a number of characters.
backup(int) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Backup a number of characters.
baseline - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
baseTestDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
baseTrainDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
basicCategory(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
  Returns the basic syntactic category of a String.
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()`.
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
beamSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
before() - Method in class edu.stanford.nlp.ling.CoreLabel
before() - Method in interface edu.stanford.nlp.ling.HasContext
beginColumn - Variable in class edu.stanford.nlp.trees.tregex.Token
  The column number of the first character of this Token.
beginColumn - Variable in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  The column number of the first character of this Token.
beginLine - Variable in class edu.stanford.nlp.trees.tregex.Token
  The line number of the first character of this Token.
beginLine - Variable in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  The line number of the first character of this Token.
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
BeginToken() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Start.
BeginToken() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Start.
bestSequence(SequenceModel) - Method in interface edu.stanford.nlp.sequences.BestSequenceFinder
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder
  Runs the Viterbi algorithm on the sequence model given by the TagScorer in order to find the best sequence.
BestSequenceFinder - Interface in edu.stanford.nlp.sequences
  An interface for classes capable of computing the best sequence given a SequenceModel.
biasedTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BinaryHeapPriorityQueue<E> - Class in edu.stanford.nlp.util
  PriorityQueue with explicit double priority values.
BinaryHeapPriorityQueue() - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryHeapPriorityQueue(MapFactory<Object, BinaryHeapPriorityQueue.Entry<E>>) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
binnedLengths - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bioSubmitOutput - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BLANK - Static variable in interface edu.stanford.nlp.trees.tregex.TregexParserConstants
  RegularExpression Id.
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.
blockTags - Static variable in class edu.stanford.nlp.process.StripTagsProcessor
  Block-level HTML tags that are rendered with surrounding line breaks.
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
booleanArrToByteArr(boolean[]) - Static method in class edu.stanford.nlp.maxent.Convert
booleanArrToByteArr(boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
booleanArrToByteArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
booleanFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
bufcolumn - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
bufcolumn - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
buffer - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
buffer - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
bufline - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
bufline - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
bufpos - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Position in buffer.
bufpos - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Position in buffer.
byteArrToAString(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToAString(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToAStringArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToAStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToAStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToBoolean(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToBooleanArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToBooleanArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToBooleanArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToChar(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToCharArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToCharArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToCharArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToDouble(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToDoubleArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
  This method allocates a new double[] to return, based on the size of the array b (namely b.length / 8 in size)
byteArrToDoubleArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToDoubleArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToFloat(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToFloatArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToFloatArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToFloatArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToInt(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToIntArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToIntArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToIntArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToLong(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToLongArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToLongArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToLongArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToShort(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToShortArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToShortArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToShortArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToUString(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToUString(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToUStringArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToUStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteArrToUStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
byteValue() - Method in class edu.stanford.nlp.util.MutableDouble
byteValue() - Method in class edu.stanford.nlp.util.MutableInteger

## C

c - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
  The underlying Collection of input sources.
cacheNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
calculateProbs(double[][][]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
  calculateProbs puts log probs of taggings in the probabilities array.
calculatesHessianVectorProduct() - Method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
capitalize(String) - Static method in class edu.stanford.nlp.util.StringUtils
  Uppercases the first character of a string.
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) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
  Transforms t if it contains a coordination in a flat structure
cf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
CGMinimizer - Class in edu.stanford.nlp.optimization
  Conjugate-gradient implementation based on the code in Numerical Recipes in C.
CGMinimizer() - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
  Basic constructor, use this.
CGMinimizer(boolean) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
  Pass in `false` to get per-iteration progress reports (to stderr).
CGMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
  Perform minimization with monitoring.
CGRunner - Class in edu.stanford.nlp.maxent
  This class will call an optimization method such as Conjugate Gradient or Quasi-Newton on a LambdaSolve object to find optimal parameters, including imposing a Gaussian prior on those parameters.
CGRunner(LambdaSolve, String) - Constructor for class edu.stanford.nlp.maxent.CGRunner
  Set up a LambdaSolve problem for solution by Conjugate Gradient.
CGRunner(LambdaSolve, String, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner
  Set up a LambdaSolve problem for solution by Conjugate Gradient, specifying a value for sigma2.
CGRunner(LambdaSolve, String, double, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner
  Set up a LambdaSolve problem for solution by Conjugate Gradient.
CGRunner(LambdaSolve, String, double, double[]) - Constructor for class edu.stanford.nlp.maxent.CGRunner
  Set up a LambdaSolve problem for solution by Conjugate Gradient.
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.
characters(char[], int, int) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
charArrToByteArr(char[]) - Static method in class edu.stanford.nlp.maxent.Convert
charArrToByteArr(char[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
charArrToByteArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
charHalfWindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
charToAscii(char) - Static method in class edu.stanford.nlp.maxent.Convert
checkCorrectness() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Check whether the constraints are satisfied, the probabilities sum to one, etc.
checkCorrectness() - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger
  Works out whether the model expectations match the empirical expectations.
checkNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Leaves have no 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.
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
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
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
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
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.
classBias - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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(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(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.
classifierType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "clausal complement" 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.
clean() - Method in class edu.stanford.nlp.maxent.Features
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
cleanGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.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
cleanUpScorer() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
  clean-up after the scorer
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.process.TransformXML.SAXInterface
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.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.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.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
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.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.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`.
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
codeTable - Static variable in class edu.stanford.nlp.maxent.Convert
COINDEX - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
CoindexNodes - Class in edu.stanford.nlp.trees.tregex.tsurgeon
CoindexNodes(TsurgeonPattern[]) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CoindexNodes
collapseDependencies(List<TypedDependency>, boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
  Destructively modify the `Collection<TypedDependency>` to collapse language-dependent transitive dependencies.
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.
collapseNN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
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.
CollectionTaggerOutputs - Class in edu.stanford.nlp.tagger.maxent
  This class will just hold an array of the outputs of all available taggers.
CollectionTaggerOutputs(int) - Constructor for class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
CollectionTaggerOutputs(String[]) - Constructor for class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
  These will be like commnad-line arguments.
CollectionTaggerOutputs.TaggerOutputHolder - Class in edu.stanford.nlp.tagger.maxent
  This class has instances for each tagger used in the tagger combination.
CollectionTaggerOutputs.TaggerOutputHolder(boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs.TaggerOutputHolder
CollectionTaggerOutputs.TaggerOutputHolder(String, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs.TaggerOutputHolder
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 `Collection`s.
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.
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
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.
column - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
column - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
combo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
comboProps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
compareLists(List<T>, List<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
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(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
compareTo(TypedDependency) - Method in class edu.stanford.nlp.trees.TypedDependency
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.
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.
COMPLEMENTIZER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "complementizer" grammatical relation.
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
concat(IntTuple, IntTuple) - Static method in class edu.stanford.nlp.util.IntTuple
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
confusionMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
conjoinShapeNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
CONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "conjunct" grammatical relation.
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.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.
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.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
containsAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
  Can be slow.
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.IntCounter
containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
containsKey(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
  Does the word exist in the dictionary?
containsKey(Class<KEY>) - 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(Class<KEY>) - 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.
containsValue(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
  Unsupported.
containsValue(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
CONTROLLING_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "controlling subject" grammatical relation.
Convert - Class in edu.stanford.nlp.maxent
  This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
convertMultifileTagger(String, String, TaggerConfig) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
  This method is provided for backwards compatibility with the old tagger.
convertValues - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
COORDINATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  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(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
copyHelper(Tree, Map<Tree, Tree>, Map<Tree, Tree>) - Static method in class edu.stanford.nlp.trees.Trees
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 `CoreMap`'s.
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.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.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.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.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.CorefAnnotation - Class in edu.stanford.nlp.ling
  the standard key for the coref label.
CoreAnnotations.CorefAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CorefAnnotation
CoreAnnotations.CorefDestAnnotation - Class in edu.stanford.nlp.ling
  Destination of the coreference link for this word (if any): it contains the index of the sentence and the index of the word that are the end of this coref link Both indeces start at 1 The sentence index is IntTuple.get(0); the token index in the sentence is IntTuple.get(1)
CoreAnnotations.CorefDestAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CorefDestAnnotation
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.CurrentAnnotation - Class in edu.stanford.nlp.ling
  From the invertible PTB tokenizer - the actual, original current word.
CoreAnnotations.CurrentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CurrentAnnotation
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.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.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.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.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 is generally an individual word or feature index - it is local, and may not be uniquely identifying without other identifiers such as sentence and doc.
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.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.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.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.NormalizedNERAnnotation - Class in edu.stanford.nlp.ling
  The key for the normalized value of numeric named entities.
CoreAnnotations.NormalizedNERAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNERAnnotation
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.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.ParaPosAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ParaPosAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParaPosAnnotation
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.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.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.SentencePosAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SentencePosAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencePosAnnotation
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.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.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.TreeAnnotation - Class in edu.stanford.nlp.ling
  The CoreMap key for getting the syntactic parse tree of a sentence.
CoreAnnotations.TreeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TreeAnnotation
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.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.ValueLabelAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ValueLabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ValueLabelAnnotation
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.WordAnnotation - Class in edu.stanford.nlp.ling
  The CoreMap key identifying the text of a token.
CoreAnnotations.WordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordAnnotation
CoreAnnotations.WordFormAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WordFormAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
CoreAnnotations.WordPosAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WordPosAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordPosAnnotation
CoreAnnotations.WordSenseAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WordSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
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 class that bridges the gap between old-style JavaNLP Labels and the new core object infrastructure.
CoreLabel() - Constructor for class edu.stanford.nlp.ling.CoreLabel
  Default constructor, calls super()
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 This allows you to read in arbitrary values from a file as features, for example.
CoreLabelTokenFactory - Class in edu.stanford.nlp.process
  Constructs `CoreLabel`s 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.
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.tagger.maxent.TestSentence
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.
Counters - Class in edu.stanford.nlp.stats
  Static methods for operating on `Counter`s.
countInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
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
countPositive(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
CountWrapper - Class in edu.stanford.nlp.tagger.maxent
  A simple data structure for some tag counts.
CountWrapper() - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
CountWrapper(String, int, int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
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.
createIndex() - Method in class edu.stanford.nlp.maxent.Experiments
CRForder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
crfType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
CRFwindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
cross(Set<E>, Set<F>) - Static method in class edu.stanford.nlp.util.Sets
  Returns the set cross product of s1 and s2, as `Pair`s
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.
ctb_pre_dict - Variable in class edu.stanford.nlp.tagger.maxent.CtbDict
ctb_suf_dict - Variable in class edu.stanford.nlp.tagger.maxent.CtbDict
CtbDict - Class in edu.stanford.nlp.tagger.maxent
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
CTBunkDict - Class in edu.stanford.nlp.tagger.maxent
curChar - Static variable in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
curChar - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
current() - Method in class edu.stanford.nlp.ling.CoreLabel
  Return the String which is the unmangled word.
current() - Method in interface edu.stanford.nlp.ling.HasContext
  Return the String which is the unmangled word.
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.
CyclicCoreLabel - Class in edu.stanford.nlp.ling
  Version of CoreLabel that allows for cycles in values/keys.
CyclicCoreLabel() - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
  Default constructor, calls super()
CyclicCoreLabel(Label) - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
  Copy constructor from any CoreMap.
CyclicCoreLabel(CoreMap) - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
  Copy constructor from any CoreMap.
CyclicCoreLabel(CoreLabel) - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
  Copy constructor from any CoreMap.
CyclicCoreLabel(CyclicCoreLabel) - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
  Copy constructor from any CoreMap.
cyclicEquals(Object) - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
  Equals method that is well defined even if there are cycles in keys/values.
cyclicHashCode() - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
  Hashcode function that works on object address equality.
cyclicToString() - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
  To string method that works regardless of whether cycles exist

## D

d - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
data - Variable in class edu.stanford.nlp.maxent.Problem
  This is the training data.
DataGeneric - Class in edu.stanford.nlp.maxent
  A class representing a data item with an array of inputs X and a String classification Y
DataGeneric() - Constructor for class edu.stanford.nlp.maxent.DataGeneric
DataWordTag - Class in edu.stanford.nlp.tagger.maxent
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.tagger.maxent.TestSentence
DEBUG - Static variable in class edu.stanford.nlp.optimization.OWLQNMinimizer
debugStream - Static variable in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
  Debug output.
debugStream - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
  Debug output.
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.
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
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
  Create a deep copy of the tree.
deepCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
  Create a deep copy of the tree.
deepCopy(MapFactory<Object, BinaryHeapPriorityQueue.Entry<E>>) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
deepCopy() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
deeperCopy() - Method in class edu.stanford.nlp.trees.Tree
  Same as deepCopy but makes a copy of the labels as well.
deeperCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
  Same as deepCopy but makes a copy of the labels as well.
deeperCopy(TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.Tree
  Same as deepCopy but will copy the labels over as well.
DEFAULT - Static variable in interface edu.stanford.nlp.trees.tregex.TregexParserConstants
  Lexical state.
DEFAULT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  Lexical state.
DEFAULT_BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
DEFAULT_DISTRIBUTION_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
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_GF_CHAR - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
DEFAULT_NLP_GROUP_MODEL_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
DEFAULT_TREE_FILE_SUFFIX - Static variable in class edu.stanford.nlp.trees.Treebank
defaultCompiler - Static variable in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
defaultOldChars - Static variable in class edu.stanford.nlp.process.PTBEscapingProcessor
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
defaultRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
dehyphenateNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
delegate - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
DELETE - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
deleteBlankLines - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
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
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 Word-Word dependencies, represented as Dependency objects, for the Tree.
dependencies(Filter<Dependency<Label, Label, Object>>) - Method in class edu.stanford.nlp.trees.Tree
  Return a set of Word-Word dependencies, represented as Dependency objects, for the Tree.
dependencies(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
  Return a set of Word-Word dependencies, represented as Dependency objects for the Tree.
dependencies(Filter<Dependency<Label, Label, Object>>, HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
  Return a set of Word-Word 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
Dependency<G extends Label,D extends Label,N> - Interface in edu.stanford.nlp.trees
  An individual dependency between a governor and a dependent.
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.UnnamedDependency
dependencyIndexComparator() - Static method in class edu.stanford.nlp.trees.Dependencies
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 and NP-ADV tags (Note [cdm]: A lot of this overlaps other existing functionality in trees.
DependencyTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DependencyTreeTransformer
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.NamedDependency
dependent() - Method in class edu.stanford.nlp.trees.UnnamedDependency
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.
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.
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.
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.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.
devFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
diag(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
  Returns diagonal elements of the given (square) matrix.
dictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Dictionary - Class in edu.stanford.nlp.tagger.maxent
  Maintains a map from words to tags and their counts.
Dictionary() - Constructor for class edu.stanford.nlp.tagger.maxent.Dictionary
dictionary2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
diff(Counter<T>, Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
diff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
  Returns the difference of sets s1 and s2.
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.
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "direct object" grammatical relation.
disjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
DiskTreebank - Class in edu.stanford.nlp.trees
  A `DiskTreebank` is a `Collection` of `Tree`s.
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.
DISPLAY_SCORES - Static variable in class edu.stanford.nlp.trees.Tree
distSimLexicon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
divide(double, double) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Given a numerator and denominator in log form, this calculates the conditional model probabilities.
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.
division(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
  Returns c1 divided by c2.
doAdaptation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
docID() - Method in class edu.stanford.nlp.ling.CoreLabel
docID() - Method in interface edu.stanford.nlp.ling.HasIndex
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
  Fully customizable preprocessor for XML, HTML, and PLAIN text documents.
DocumentPreprocessor(TokenizerFactory<? extends HasWord>) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
DocumentPreprocessor() - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
  Constructs a preprocessor using the default tokenzier: `PTBTokenizer`.
DocumentPreprocessor(boolean) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
  Constructs a preprocessor using the default tokenizer: `PTBTokenizer`.
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.
documentReader - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
DocumentReaderAndWriter - Interface in edu.stanford.nlp.sequences
  This interface is used for reading data and writing output into and out of `SequenceClassifier`s.
doDeterministicTagExpansion - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
doFE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
doGibbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
doing(String) - Method in class edu.stanford.nlp.util.Timing
  Print the start of timing message to stderr and start the timer.
domain() - Method in class edu.stanford.nlp.maxent.Features
domain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
dominates(Tree) - Method in class edu.stanford.nlp.trees.Tree
  Returns true if `this` dominates the Tree passed in as an argument.
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() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Reset buffer when finished.
Done() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Reset buffer when finished.
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
dontExtendTaggy - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
  Returns the product of c1 and c2.
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
doubleArrToByteArr(double[]) - Static method in class edu.stanford.nlp.maxent.Convert
doubleArrToByteArr(double[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
doubleArrToByteArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
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
dropGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dump - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dump() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
dump(PrintStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
dumpModel() - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder

## E

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.io - package edu.stanford.nlp.io
edu.stanford.nlp.ling - package edu.stanford.nlp.ling
edu.stanford.nlp.math - package edu.stanford.nlp.math
edu.stanford.nlp.maxent - package edu.stanford.nlp.maxent
edu.stanford.nlp.maxent.iis - package edu.stanford.nlp.maxent.iis
edu.stanford.nlp.movetrees - package edu.stanford.nlp.movetrees
edu.stanford.nlp.objectbank - package edu.stanford.nlp.objectbank
edu.stanford.nlp.optimization - package edu.stanford.nlp.optimization
edu.stanford.nlp.process - package edu.stanford.nlp.process
edu.stanford.nlp.sequences - package edu.stanford.nlp.sequences
edu.stanford.nlp.stats - package edu.stanford.nlp.stats
edu.stanford.nlp.tagger.maxent - package edu.stanford.nlp.tagger.maxent
  A Maximum Entropy Part-of-Speech Tagger.
edu.stanford.nlp.trees - package edu.stanford.nlp.trees
edu.stanford.nlp.trees.international.pennchinese - package edu.stanford.nlp.trees.international.pennchinese
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.util - package edu.stanford.nlp.util
edu.stanford.nlp.util.concurrent - package edu.stanford.nlp.util.concurrent
edu.stanford.nlp.web - package edu.stanford.nlp.web
elementsToBeTransformed - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
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_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
EMPTYSTRING - Static variable in class edu.stanford.nlp.ling.Word
  String representation of an empty.
EmptyTreeLeaf<EmptyType> - Class in edu.stanford.nlp.movetrees
EmptyTreeLeaf(Label, EmptyType, Tree) - Constructor for class edu.stanford.nlp.movetrees.EmptyTreeLeaf
  Create a leaf parse tree with given word.
EmptyTreeLeaf(Label, EmptyType) - Constructor for class edu.stanford.nlp.movetrees.EmptyTreeLeaf
  Create a leaf parse tree with given word.
emptyType() - Method in class edu.stanford.nlp.movetrees.EmptyTreeLeaf
enc - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
  The encoding for file input.
ENCODING - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
encoding() - Method in class edu.stanford.nlp.trees.Treebank
  Returns the encoding in use for treebank file bytestream access.
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.
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() - Method in class edu.stanford.nlp.trees.Constituent
  access end node.
end() - Method in class edu.stanford.nlp.trees.SimpleConstituent
  access end node.
endColumn - Variable in class edu.stanford.nlp.trees.tregex.Token
  The column number of the last character of this Token.
endColumn - Variable in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  The column number of the last character of this Token.
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.
endElement(String, String, String) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
endElement(String, String, String) - Method in class edu.stanford.nlp.tagger.maxent.TaggerSaxInterface
endFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
endLine - Variable in class edu.stanford.nlp.trees.tregex.Token
  The line number of the last character of this Token.
endLine - Variable in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  The line number of the last character of this Token.
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
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).
EnglishGrammaticalRelations - Class in edu.stanford.nlp.trees
  `EnglishGrammaticalRelations` is a set of `GrammaticalRelation` objects for the English language.
EnglishGrammaticalRelations.AbbreviationModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.AbbreviationModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.AbbreviationModifierGRAnnotation
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.ComplementizerGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ComplementizerGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ComplementizerGRAnnotation
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.ExpletiveGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ExpletiveGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ExpletiveGRAnnotation
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.MeasurePhraseGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.MeasurePhraseGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.MeasurePhraseGRAnnotation
EnglishGrammaticalRelations.ModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.ModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.ModifierGRAnnotation
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.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.PurposeClauseModifierGRAnnotation - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations.PurposeClauseModifierGRAnnotation() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalRelations.PurposeClauseModifierGRAnnotation
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
entitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.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.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.
EOF - Static variable in interface edu.stanford.nlp.trees.tregex.TregexParserConstants
  End of File.
EOF - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  End of File.
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.
eolString - Variable in class edu.stanford.nlp.process.TokenizerAdapter
eosWord - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
eps - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
epsilon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.ling.CyclicCoreLabel
  Two CoreMaps are equal iff all keys and values are equal.
equals(Object) - Method in class edu.stanford.nlp.ling.ValueLabel
  Equality for `ValueLabel`s 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.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.IntCounter
equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
  Equality is tested only on the word, and not the various counts that are maintained.
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.History
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 `TreeGraphNode`s.
equals(Object) - Method in class edu.stanford.nlp.trees.TypedDependency
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.ArrayWrapper
  StringArrays are equal if they contain the same elements.
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.IntTuple
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.Triple
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.NamedDependency
equalsIgnoreName(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
ErasureUtils - Class in edu.stanford.nlp.util
  Class to gather unsafe operations into one place.
escapeAttributeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
  Returns a String in which some XML special characters have been escaped.
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, 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.
estimateInitial - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.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.
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.
ExactBestSequenceFinder - Class in edu.stanford.nlp.sequences
  A class capable of computing the best sequence given a SequenceModel.
ExactBestSequenceFinder() - Constructor for class edu.stanford.nlp.sequences.ExactBestSequenceFinder
exactBinomial(int, int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
  Find a one tailed exact binomial test probability.
EXCISE - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
exp(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
exp(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
ExpandBuff(boolean) - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
ExpandBuff(boolean) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
expandMidDot - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
expectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Each pair x,y has a value in p.data.values[x][y]
Experiments - Class in edu.stanford.nlp.maxent
  This class represents the training samples.
Experiments() - Constructor for class edu.stanford.nlp.maxent.Experiments
Experiments(int[][]) - Constructor for class edu.stanford.nlp.maxent.Experiments
  If this constructor is used, the maximum possible class overall is found and all classes are assumed possible for all instances
Experiments(int[][], int[]) - Constructor for class edu.stanford.nlp.maxent.Experiments
  The number of possible classes for each instance is contained in the array maxYs then the possible classes for x are from 0 to maxYs[x]-1
Experiments(int[][], int) - Constructor for class edu.stanford.nlp.maxent.Experiments
Experiments(String) - Constructor for class edu.stanford.nlp.maxent.Experiments
  The filename has format: xSize ySize x1 y1 x2 y2 ..
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.
exSize - Variable in class edu.stanford.nlp.maxent.Problem
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.
Extractor - Class in edu.stanford.nlp.tagger.maxent
  This class serves as the base class for classes which extract relevant information from a history to give it to the features.
Extractor() - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
Extractor(int, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
  This constructor creates an extractor which extracts either the tag or the word from position position in the history.
ExtractorDistsim - Class in edu.stanford.nlp.tagger.maxent
  Extractor for adding distsim information.
ExtractorDistsim.ExtractorDistsimConjunction - Class in edu.stanford.nlp.tagger.maxent
ExtractorFrames - Class in edu.stanford.nlp.tagger.maxent
  The static eFrames contains an array of all Extractors that are used to define features.
ExtractorFramesRare - Class in edu.stanford.nlp.tagger.maxent
  Provides arrays of ExtractorFrames for rare words.
Extractors - Class in edu.stanford.nlp.tagger.maxent
  Maintains a set of feature extractors and applies them.
Extractors() - Constructor for class edu.stanford.nlp.tagger.maxent.Extractors
ExtractorVerbalVBNZero - Class in edu.stanford.nlp.tagger.maxent
  Look for verbs selecting a VBN verb.
ExtractorVerbalVBNZero(int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero

## F

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() - 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.CyclicCoreLabel
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.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, LexedTokenFactory<T>) - 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
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() - 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.LabeledScoredTreeLeaf
  Return a `TreeFactory` that produces trees of the `LabeledScoredTree{Node|Leaf}` type.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  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.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.UnnamedDependency
Factory<T> - Interface in edu.stanford.nlp.util
  A generified factory class which creates instances of a particular type.
fakeDataset - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featThreshFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Feature - Class in edu.stanford.nlp.maxent
  This class is used as a base class for TaggerFeature for the tagging problem and for BinaryFeature for the general problem with binary features.
Feature() - Constructor for class edu.stanford.nlp.maxent.Feature
Feature(Experiments, double[], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
  This is if we are given an array of double with a value for each training sample in the order of their occurrence.
Feature(Experiments, double[][], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
Feature(Experiments, int, Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
Feature(Experiments, int[], double[], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
featureCountThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featureDiffThresh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featureFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
FeatureKey - Class in edu.stanford.nlp.tagger.maxent
  Stores a triple of an extractor ID, a feature value (derived from history) and a y (tag) value.
FeatureKey() - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
FeatureKey(int, String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
Features - Class in edu.stanford.nlp.maxent
  An ArrayList of Feature
Features() - Constructor for class edu.stanford.nlp.maxent.Features
Features(String, Experiments) - Constructor for class edu.stanford.nlp.maxent.Features
  reads in the features from a file, having already read the experiments
featureThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featureWeightThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Featurizable<F> - Interface in edu.stanford.nlp.ling
  Interface for Objects that can be described by their features.
femaleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
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.
FileSequentialCollection - Class in edu.stanford.nlp.io
  A `FileSequentialCollection` maintains a read-only collection of `Files`.
FileSequentialCollection() - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
  Creates an empty `FileSequentialCollection`, with no Files in it.
FileSequentialCollection(Collection<?>) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
  Creates a `FileSequentialCollection` from the passed in `Collection`.
FileSequentialCollection(File, String, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
  Creates a `FileSequentialCollection` from the passed in `File` path.
FileSequentialCollection(Collection<?>, String, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
  Creates a `FileSequentialCollection` from the passed in `Collection`.
FileSequentialCollection(Collection<?>, FileFilter) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
  Creates a `FileSequentialCollection` from the passed in `Collection`.
FileSequentialCollection(String, FileFilter) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
FileSequentialCollection(Collection<?>, FileFilter, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
  Creates a `FileSequentialCollection` from the passed in `Collection`.
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
FillBuff() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
FillBuff() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
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.
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
filterNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
filterNaNAndInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Filters - Class in edu.stanford.nlp.util
  Some simple implementations of the Filter interface.
finalTags - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
find() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
  Find the next match of the pattern on the tree
find(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
  Say whether this regular expression can be found inside this String.
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
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.
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
fixedFnumXY - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
  This flag is true if all (x,y) have the same f# in which case the newton equation solving is avoided
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
fixEmptyTreeLeafs(Tree, Map<Tree, Tree>, Map<Tree, Tree>) - Static method in class edu.stanford.nlp.trees.Trees
  traceTo() values that are contained in the tree are assigned to new objects.
fixQuotes - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
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
floatArrayToDoubleArray(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
floatArrayToDoubleArray(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
floatArrToByteArr(float[]) - Static method in class edu.stanford.nlp.maxent.Convert
floatArrToByteArr(float[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
floatArrToByteArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
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
fnum(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
fnumArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
  This contains the number of features active for each pair (x,y)
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 `TreeGraphNode`s to which there exist arcs bearing the specified label from this node, or `null` if no such nodes exist.
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
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>.
fSize - Variable in class edu.stanford.nlp.maxent.Problem
ftilde() - Method in class edu.stanford.nlp.maxent.Feature
ftilde() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
ftildeArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
  This is an array of empirical expectations for the features
Function - Interface in edu.stanford.nlp.optimization
  An interface for double-valued functions over double arrays.
function - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
Function<T1,T2> - Interface in edu.stanford.nlp.util
  An interface for classes that act as a function transforming one object to another.
functions - Variable in class edu.stanford.nlp.maxent.Problem
  These are the features.

## G

GainCompute(Feature, double) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Computes the gain from a feature.
gainSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
gamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
gazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
gazFilesFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
get(int) - Method in class edu.stanford.nlp.maxent.Experiments
get(int) - Method in class edu.stanford.nlp.maxent.Features
get(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
get(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
  Get a tree by index from the Treebank.
get(Class<KEY>) - 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(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(Class<KEY>) - Method in interface edu.stanford.nlp.util.TypesafeMap
  Returns the value associated with the given key or null if none is provided.
getAllTranslations(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
getAmbClass(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getAnnotationClass(GrammaticalRelation) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
getAnswers(List<CoreLabel>) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
  Deprecated. This has been left in since it is still called in the version of the tagger that we currently distribute, but it will be removed.
getAnswers(List<CoreLabel>, int, boolean) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
getArch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
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.
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.
getBeginColumn() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Get token beginning column number.
getBeginColumn() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Get token beginning column number.
getBeginLine() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Get token beginning line number.
getBeginLine() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Get token beginning line number.
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.
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.
getChild(int) - Method in class edu.stanford.nlp.trees.Tree
  Return the child at some daughter index.
getChildrenAsList() - Method in class edu.stanford.nlp.trees.Tree
  Returns a List of children for the current node.
getClass(String) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
getClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getClosedTagThreshold() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getColumn() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Deprecated.
getColumn() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Deprecated.
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
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(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
  Returns the count for this key as a double.
getCount(E) - 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.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(String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getCountAsString(E) - Method in class edu.stanford.nlp.stats.IntCounter
getCountCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
getCountIn() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
getCountIn(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getCountPart() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
getCountPart(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getCountRB() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
getCountRB(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getCountThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
getCountThat(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getCurrentFile() - Method in class edu.stanford.nlp.trees.DiskTreebank
  Return the `File` from which trees are currently being read by an Iterator or `apply()` and passed to a `TreePprocessor`.
getCurWordMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getDebug() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getDebugPrefix() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
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").
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
getDependencyPath(TreeGraphNode, TreeGraphNode) - 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
getDependents(TreeGraphNode) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
  Tries to return a `Set` of leaf (terminal) nodes which are the ``DEPENDENT``s of the given node `t`.
getDerivatives() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  assuming we have the lambdas in the array and we need only the derivatives now.
getDerivativesExpectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  assuming we have the probConds[x][y] , compute the derivatives for the expectedValue function
getDerivativesLossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Using the arrays calculated when computing the loss, it should not be too hard to get the derivatives.
getDerivativesNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  assuming we have the lambdas in the array and we need only the derivatives now.
getDescription() - Method in class edu.stanford.nlp.io.ExtensionFileFilter
  Returns a description of what extension is being used (for file choosers).
getEncoding() - Static method in class edu.stanford.nlp.maxent.Convert
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.pennchinese.ChineseTreebankLanguagePack
  Return the input Charset encoding for the Treebank.
getEncoding() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
  Return the charset encoding of the Treebank.
getEndColumn() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Get token end column number.
getEndColumn() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Get token end column number.
getEndLine() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Get token end line number.
getEndLine() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Get token end line number.
getExtractorFrames(String) - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
getExtractorFramesRare(String) - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
  Get an array of rare word feature Extractor identified by a name.
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
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.
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(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`.
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) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
  Get GrammaticalRelation between gov and dep, and null if gov is not the governor of dep
getHeadFinder() - Method in class edu.stanford.nlp.trees.TreePrint
getHistories(String[], History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
getHistory() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
GetImage() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Get token literal value.
GetImage() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Get token literal value.
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.
getInitFromTrees() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
getInstance() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
  A method for getting a singleton instance of this class.
getIntCount(E) - 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.
getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
getIntTuple(List<Integer>) - Static method in class edu.stanford.nlp.util.IntTuple
getIterations() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getIterator(Reader) - Method in interface edu.stanford.nlp.objectbank.IteratorFromReaderFactory
getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
getIterator(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
getIterator(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
getIterator(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
  Same as getTokenizer().
getJarModel() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getKeepOriginalText() - Method in class edu.stanford.nlp.ling.DocumentReader
  Returns whether created documents will store their source text along with tokenized words.
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.
getLambdaSolve() - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
getLang() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getLeaf(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
  Gets the ith leaf of a tree from the left.
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<Tree>) - Method in class edu.stanford.nlp.trees.Tree
  Gets the leaves of the tree.
getLine() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Deprecated.
getLine() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Deprecated.
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(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<?>, 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.
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.
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
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.
getMessage() - Method in exception edu.stanford.nlp.trees.tregex.ParseException
  This method has the standard behavior when this object has been created using the standard constructors.
getMessage() - Method in error edu.stanford.nlp.trees.tregex.TokenMgrError
  You can also modify the body of this method to customize your error messages.
getMessage() - Method in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
  This method has the standard behavior when this object has been created using the standard constructors.
getMessage() - Method in error edu.stanford.nlp.trees.tregex.tsurgeon.TokenMgrError
  You can also modify the body of this method to customize your error messages.
getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
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
getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
  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.trees.international.pennchinese.CHTBTokenizer
  Internally fetches the next token.
getNextToken() - Static method in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
  Get the next Token.
getNextToken() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
  Get the next Token.
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.trees.TreeGraph
  Return the node in the this treegraph corresponding to the specified integer index.
getNodeInRelation(TreeGraphNode, GrammaticalRelation) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
getNodeNumber(int) - Method in class edu.stanford.nlp.trees.Tree
  Fetches the `i`th node in the tree, with node numbers defined as in `Tree.nodeNumber(Tree)`.
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 `edu.stanford.nlp.stats.Distribution` instead of using this method.
getNum(FeatureKey) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
getNumber() - Method in class edu.stanford.nlp.maxent.Experiments
getObject(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
  Searches for the object in the queue and returns it.
getOpenClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getOpenTags() - Method in class edu.stanford.nlp.tagger.maxent.TTags
  Returns a list of all open class tags
getOperationFromFile(String) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
  Parses a tsurgeon script file and compiles all operations in the file into one tsurgeon pattern
getOperationFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
  Parses a tsurgeon script text input and compiles all operations in the file into one tsurgeon pattern.
getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
getOutputFile() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getOutputFormat() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getOutputOptions() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getParent() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
  Returns the parent of this `GrammaticalRelation`.
getPatternFromFile(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
  Assumes that we arre at the beginning of a tsurgeon script file and gets the string for the tregex pattern leading the file
getPositions(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
getPossibleValues(int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
  0...leftWindow-1 etc are null, leftWindow...length+leftWindow-1 are words, length+leftWindow...length+leftWindow+rightWindow-1 are null;
getPossibleValues(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
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 `n`th preterminal in `tree`.
getPrintWriter() - Method in class edu.stanford.nlp.trees.TreePrint
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.
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
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.
getRelation(Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
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(Collection<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
  Return a list of TypedDependencies which are not dependent on any node from the list
getS(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
getSearch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getSentencesFromHTML(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
getSentencesFromHTML(Reader) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
getSentencesFromText(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Reads a file or URL and outputs a list of sentences.
getSentencesFromText(String, boolean, String, int) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
getSentencesFromText(Reader) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
getSentencesFromText(String, Function<List<HasWord>, List<HasWord>>, String, int) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Produce a list of sentences from text.
getSentencesFromText(Reader, String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
getSentencesFromText(Reader, Function<List<HasWord>, List<HasWord>>, String, int) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Produce a list of sentences from a Reader.
getSentencesFromXML(String, String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Returns a list of sentences contained in an XML file or URL, occuring between the begin and end of a selected tag.
getSentencesFromXML(String, String, boolean) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Returns a list of sentences contained in an XML file or URL, occuring between the begin and end of a selected tag.
getSentencesFromXML(String, String, String, boolean) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Returns a list of sentences contained in an XML file, occuring between the begin and end of a selected tag.
getSentencesFromXML(Reader, String, String, boolean) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Returns a list of sentences contained in an XML file, occuring between the begin and end of a selected tag.
getSentencesFromXML(String, Function<List<HasWord>, List<HasWord>>, String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Returns a list of sentences contained in an XML file, occuring between the begin and end of a selected tag.
getSentencesFromXML(String, Function<List<HasWord>, List<HasWord>>, String, String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Returns a list of sentences contained in an XML file, occuring between the begin and end of a selected tag.
getSentencesFromXML(Reader, Function<List<HasWord>, List<HasWord>>, String, String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Returns a list of sentences contained in an XML file, occuring between the begin and end of a selected tag.
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.
getShortName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
getSigmaSquared() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getSize() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
getSize() - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
getSize() - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
  Returns the number of tokens in the data read, which is the number of words plus one end sentence token per sentence.
getSize() - Method in class edu.stanford.nlp.tagger.maxent.TTags
getSource() - Method in class edu.stanford.nlp.util.IntPair
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
getSpan() - Method in class edu.stanford.nlp.trees.Tree
getSpecific() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
getString(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel
  Return a non-null String value for a key.
GetSuffix(int) - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Get the suffix.
GetSuffix(int) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Get the suffix.
getTabSize(int) - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
getTabSize(int) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
getTag(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.ASBCunkDict
getTag(int, int) - Method in class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
getTag(int) - Method in class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs.TaggerOutputHolder
getTag(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.CTBunkDict
  Returns "1" as true if the dictionary listed this word with this tag, and "0" otherwise.
getTag() - Method in class edu.stanford.nlp.tagger.maxent.OutputTags
getTag(int) - Method in class edu.stanford.nlp.tagger.maxent.TTags
getTaggerFeatures() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
getTagInside() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTagPre(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.ASBCDict
getTagPre(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.CtbDict
getTags(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getTags() - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
getTagSeparator() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTagSuf(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.ASBCDict
getTagSuf(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.CtbDict
getTarget() - Method in class edu.stanford.nlp.util.IntPair
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
getTerminal(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
  gets the `n`th terminal in `tree`.
getTestSentence() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
getTokenize() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTokenizer(Reader) - Method in interface edu.stanford.nlp.objectbank.TokenizerFactory
getTokenizer(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
getTokenizer(Reader) - 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.
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.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.
getTokenizerOptions() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTreeNormalizer() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTreeRange() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getTreeTransformer() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
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, collection 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 buffer, mirroring the way the strings appear in the file - this is helpful for lazy evaluation of the operations, as in a GUI, because you do not parse the operations on load.
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.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.BestCliquesAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
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.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.CorefAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CorefDestAnnotation
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.CurrentAnnotation
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.DocIDAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
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.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.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.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.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.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.NormalizedNERAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
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.ParaPosAnnotation
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.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.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.SentencePosAnnotation
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.SRLIDAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
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.TreeAnnotation
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.UTypeAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ValueLabelAnnotation
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.WordAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordPosAnnotation
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
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.trees.GrammaticalRelation.GrammaticalRelationAnnotation
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagAnnotation
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordAnnotation
getVal(int) - Method in class edu.stanford.nlp.maxent.Feature
  Get the value at the index-ed non zero value pair (x,y)
getVal(int, int) - Method in class edu.stanford.nlp.maxent.Feature
  This is rarely used because it is slower and requires initHashVals() to be called beforehand to initiallize the hashValues
getVal(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
getVal(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
getValue() - Method in class edu.stanford.nlp.trees.tregex.Token
  An optional attribute value of the Token.
getValue() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  An optional attribute value of the Token.
getValueType(Class<? extends CoreAnnotation>) - Static method in class edu.stanford.nlp.ling.AnnotationLookup
  Returns the runtime value type associated with the given key.
getVerbose() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getVeryCommonWordThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getWord() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
getWord() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
getWordsFromHTML(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
getWordsFromHTML(Reader) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
getWordsFromString(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Gets a list of words from a string.
getWordsFromText(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Reads the file into a single list of words.
getWordsFromText(Reader) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
getX(int) - Method in class edu.stanford.nlp.maxent.Feature
getX() - Method in class edu.stanford.nlp.tagger.maxent.History
getX(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
getXMLInput() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getXValues(Pair<Integer, String>) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
getY() - Method in class edu.stanford.nlp.maxent.DataGeneric
getY(int) - Method in class edu.stanford.nlp.maxent.Feature
getY(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
getY() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
getY(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
getYInd() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
getYTag() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
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
GlobalHolder - Class in edu.stanford.nlp.tagger.maxent
  This class holds many global variables and other things that are used by the Stanford MaxEnt Part-of-speech Tagger package.
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
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.NamedDependency
governor() - Method in class edu.stanford.nlp.trees.UnnamedDependency
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, String[], String) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
GrammaticalRelation(GrammaticalRelation.Language, String, String, Class<? extends GrammaticalRelation.GrammaticalRelationAnnotation>, GrammaticalRelation, String, 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.DependendentGRAnnotation - Class in edu.stanford.nlp.trees
GrammaticalRelation.DependendentGRAnnotation() - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation.DependendentGRAnnotation
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
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 - Class in edu.stanford.nlp.trees
  A general factory for `GrammaticalStructure` objects.
GrammaticalStructureFactory(String) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructureFactory
  Make a new GrammaticalStructureFactory that dispenses `GrammaticalStructure` objects of the given specific type
GrammaticalStructureFactory(String, Filter<String>) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructureFactory
  Make a new GrammaticalStructureFactory that dispenses `GrammaticalStructure` objects of the given specific type
GrammaticalStructureFactory(String, Filter<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructureFactory
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() - 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.
greekifyNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags

## H

handleEndTag(HTML.Tag, int) - Method in class edu.stanford.nlp.web.HTMLParser
  Sets a flag if the end tag is the "TITLE" element end tag
handleStartTag(HTML.Tag, MutableAttributeSet, int) - Method in class edu.stanford.nlp.web.HTMLParser
  Sets a flag if the start tag is the "TITLE" element start tag.
handleText(char[], int) - Method in class edu.stanford.nlp.web.HTMLParser
has(Class<KEY>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
  Returns true if the map contains the given key.
has(Class<KEY>) - Method in interface edu.stanford.nlp.util.TypesafeMap
  Returns true if the map contains the given key.
HasCategory - Interface in edu.stanford.nlp.ling
  Something that implements the `HasCategory` interface knows about categories.
HasContext - Interface in edu.stanford.nlp.ling
HASH_INTEGER - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
HASH_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
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<CoreMap, ?>>, 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<CoreMap, ?>>>) - 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.ling.CyclicCoreLabel
  Returns a composite hashcode over all the keys and values currently stored in the map.
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.stats.ClassicCounter
  Returns a hashCode which is the underlying Map's hashCode.
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.tagger.maxent.AmbiguityClass
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.History
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.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.ArrayWrapper
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.IntTuple
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.Triple
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.
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
hashValues - Variable in class edu.stanford.nlp.maxent.Feature
HasIndex - Interface in edu.stanford.nlp.ling
hasInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
hasNaN(double[]) - 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.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
HasOffset - Interface in edu.stanford.nlp.ling
  Something that implements the `HasOffset` interface bears a offset reference to the original text
HasTag - Interface in edu.stanford.nlp.ling
  Something that implements the `HasTag` interface knows about part-of-speech tags.
HasWord - Interface in edu.stanford.nlp.ling
  Something that implements the `HasWord` interface knows about words.
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.pennchinese.ChineseTreebankLanguagePack
  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.
heads(Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
  returns true iff `head` (transitively) heads `node`
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 ``CyclicCoreLabel``.
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 ``CyclicCoreLabel``.
highestNodeWithSameHead() - Method in class edu.stanford.nlp.trees.TreeGraphNode
History - Class in edu.stanford.nlp.tagger.maxent
HistoryTable - Class in edu.stanford.nlp.tagger.maxent
  Notes: This maintains a two way lookup between a History and an Integer index.
HistoryTable() - Constructor for class edu.stanford.nlp.tagger.maxent.HistoryTable
howLong() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
  Return the time in seconds since this class was created.
HTMLParser - Class in edu.stanford.nlp.web
  Parses an HTML document and returns the plain text (and title).
HTMLParser() - Constructor for class edu.stanford.nlp.web.HTMLParser
hybridCutoffIteration - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
hypergeometric(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
  Find a hypergeometric distribution.

## I

IDENTIFIER - Static variable in interface edu.stanford.nlp.trees.tregex.TregexParserConstants
  RegularExpression Id.
IDENTIFIER - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
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
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
image - Variable in class edu.stanford.nlp.trees.tregex.Token
  The string image of the token.
image - Variable in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  The string image of the token.
improvedIterative() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Iterate until convergence.
improvedIterative(int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Does a fixed number of IIS iterations.
in - Variable in class edu.stanford.nlp.ling.DocumentReader
  Reader used to read in document text.
inBuf - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
inBuf - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
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(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
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.
incThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
incValue(int) - Method in class edu.stanford.nlp.util.MutableInteger
  Add the argument to the value of this integer.
InDataStreamFile - Class in edu.stanford.nlp.io
InDataStreamFile(String) - Constructor for class edu.stanford.nlp.io.InDataStreamFile
InDataStreamFile(File) - Constructor for class edu.stanford.nlp.io.InDataStreamFile
InDataStreamFile(URL) - Constructor for class edu.stanford.nlp.io.InDataStreamFile
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.
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.
indexedValues - Variable in class edu.stanford.nlp.maxent.Feature
  This will contain the (x,y) pairs for which the feature is non-zero in case it is sparse.
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.
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(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.
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.
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.
inElementToBeTransformed - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
inferenceType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
INFINITIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "infinitival modifier" grammatical relation.
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(SeqClassifierFlags) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
  Will be called immediately after construction.
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
init() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
init() - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
init(TaggerConfig) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
init() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
initHashVals() - Method in class edu.stanford.nlp.maxent.Feature
  Creates a hashmap with keys pairs (x,y) and values the value of the function at the pair; required for use of getVal(x,y)
initialGain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
initializeScorer(List<String>) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
initialWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
initViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
innaPPAttach - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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_stream - Static variable in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
input_stream - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
inputEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
inputStream - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
inputStream - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
INSERT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
insertDtr(Tree, int) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Leaves have no children.
insertDtr(Tree, int) - Method in class edu.stanford.nlp.trees.Tree
  insert `dtr` after `position` existing daughters in `this`.
instanceIndex - Variable in class edu.stanford.nlp.maxent.Feature
intArrToByteArr(int[]) - Static method in class edu.stanford.nlp.maxent.Convert
intArrToByteArr(int[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
intArrToByteArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
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.
interimOutputFreq - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
intern - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
intern2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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 InternedPair where the Strings have been interned.
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
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.
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
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
iobTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
iobWrapper - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
IOUtils - Class in edu.stanford.nlp.io
  Helper Class for storing serialized objects to disk.
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
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(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
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.
isBody - Variable in class edu.stanford.nlp.web.HTMLParser
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.util.StringUtils
  Check if a string begins with an uppercase.
isClosed(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
isCloseTo(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
isConnected(Collection<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
  Checks if all the typeDependencies are connected
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.
isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim.ExtractorDistsimConjunction
isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim
isEmpty() - Method in class edu.stanford.nlp.maxent.Feature
isEmpty() - Method in class edu.stanford.nlp.objectbank.ObjectBank
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.IntCounter
isEmpty() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
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.IdentityHashSet
  Returns `true` if this set contains no elements.
isEndTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
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.
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.
isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
  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.LabeledScoredTreeLeaf
  Indicates that `this` is a leaf.
isLeaf() - Method in class edu.stanford.nlp.trees.Tree
  Says whether a node is a leaf.
isLocal() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
isLocal() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim.ExtractorDistsimConjunction
isLocal() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim
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.
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
isPhrasal() - Method in class edu.stanford.nlp.trees.Tree
  Return whether this node is a phrasal node or not.
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.
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.
isRare(String) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
isScript - Variable in class edu.stanford.nlp.web.HTMLParser
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).
isTitle - Variable in class edu.stanford.nlp.web.HTMLParser
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
  Reinserted so samples.GetSubcats compiles ...
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.
iterator() - Method in class edu.stanford.nlp.io.FileSequentialCollection
  Return an Iterator over files in the collection.
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.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.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.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.util.BinaryHeapPriorityQueue
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 class edu.stanford.nlp.util.IdentityHashSet
  Returns an iterator over the elements in this set.
IteratorFromReaderFactory<T> - Interface in edu.stanford.nlp.objectbank
  A IteratorFromReaderFactory is used to convert a java.io.Reader into an Iterator over the Objects 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.

## J

jaccardCoefficient(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
  Returns the Jaccard Coefficient of the two counters.
JAR_TAGGER_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
  The directory in a jar file in which to find a tagger resource specified by jar:file
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.
jjFillToken() - Static method in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
jjFillToken() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
jjstrLiteralImages - Static variable in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
  Token literal values.
jjstrLiteralImages - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
  Token literal values.
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(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 elems with a space.
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`.
justify - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags

## K

kBest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
kBestSize - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
keepAllWhitespaces - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
  Keep all the whitespaces words in testFile when printing out answers.
keepEnglishWhitespaces - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
  Keep the whitespaces between English words in testFile when printing out answers.
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.
keepOBInMemory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
keepOriginalText - Variable in class edu.stanford.nlp.ling.DocumentReader
  Whether to keep source text in document along with tokenized words.
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.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.
KILL - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
  Dummy relation, used while collapsing relations, in English & Chinese GrammaticalStructure
kind - Variable in class edu.stanford.nlp.trees.tregex.Token
  An integer that describes the kind of this token.
kind - Variable in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  An integer that describes the kind of this token.
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

l1reg - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
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() - 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.LabeledScoredTreeLeaf
  Returns the label associated with the current node.
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.
LABEL - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
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.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.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.
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.
LabeledScoredTreeLeaf - Class in edu.stanford.nlp.trees
  A `LabeledScoredTreeLeaf` represents the leaf of a tree in a parse tree with labels and scores.
LabeledScoredTreeLeaf() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Create an empty leaf parse tree with an empty word.
LabeledScoredTreeLeaf(Label) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Create a leaf parse tree with given word.
LabeledScoredTreeLeaf(Label, double) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Create a leaf parse tree with given word and score.
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, 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
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(List<LabeledWord>) - Method in class edu.stanford.nlp.movetrees.EmptyTreeLeaf
  A `EmptyTreeLeaf` is invisible in the tagged yield
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.CyclicCoreLabel
  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.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.LabeledConstituent
  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 `Label`s, null or otherwise, contained in the tree.
lambda - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
  These are the model parameters that have to be learned
lambda_converged - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
LambdaSolve - Class in edu.stanford.nlp.maxent.iis
  This is the main class that does the core computation in IIS.
LambdaSolve(Problem, double, double) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
LambdaSolve(String) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
  Reads the lambda parameters from a file.
LambdaSolve() - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
LambdaSolveTagger - Class in edu.stanford.nlp.tagger.maxent
  This module does the working out of lambda parameters for binary tagger features.
largeChSegFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
lastNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
leaves(Tree) - Static method in class edu.stanford.nlp.trees.Trees
  returns the leaves in a Tree in the order that they're found.
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.
leftContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
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.
leftWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
  How many positions to the left a position is dependent on.
leftWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
lemma() - Method in class edu.stanford.nlp.ling.CoreLabel
  Return the lemma of the label (or null if none).
lemma() - Method in class edu.stanford.nlp.ling.WordLemmaTag
LEMMA_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
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
len() - Method in class edu.stanford.nlp.maxent.Feature
len() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
length() - Method in class edu.stanford.nlp.ling.Sentence
  A convenience method since we normally say sentences have a length.
length() - Method in interface edu.stanford.nlp.sequences.SequenceModel
length() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
length() - Method in class edu.stanford.nlp.util.IntTuple
LexedTokenFactory<T> - Interface in edu.stanford.nlp.process
  Constructs a token (of arbitrary type) from a String and its position in the underlying text.
LexicalError(boolean, int, int, int, String, char) - Static method in error edu.stanford.nlp.trees.tregex.TokenMgrError
  Returns a detailed message for the Error when it is thrown by the token manager to indicate a lexical error.
LexicalError(boolean, int, int, int, String, char) - Static method in error edu.stanford.nlp.trees.tregex.tsurgeon.TokenMgrError
  Returns a detailed message for the Error when it is thrown by the token manager to indicate a lexical error.
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.
lexStateNames - Static variable in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
  Lexer state names.
lexStateNames - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
  Lexer state names.
lgamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
line - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
line - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
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.
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
LINKED_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
linkedListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
listIterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
listIterator(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
ListProcessor<IN,OUT> - Interface in edu.stanford.nlp.process
  An interface for things that operate on a List.
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
loadAuxClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
loadClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
loadDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
loadFromFilename(String) - Static method in class edu.stanford.nlp.util.HashIndex
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.
loadIntCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters
  Loads a Counter from a text file.
loadJarClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.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.
loadProcessedData - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
loadTextClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
localContextScores - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
localScores - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
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 `Tree`s that ares the local trees of the tree.
LOCATION_RELATION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
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
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.
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
logLikelihood() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
logLikelihoodNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Calculate the log-likelihood from scratch, hashing the conditional probabilities in pcond, which we will use later.
logLikelihoodScratch() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  calculate the log likelihood from scratch, hashing the conditional probabilities in pcond which we will use for the derivative later.
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.
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(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.
longArrToByteArr(long[]) - Static method in class edu.stanford.nlp.maxent.Convert
longArrToByteArr(long[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
longArrToByteArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
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.
lossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  calculate the loss for Dom ranking using the numbers in p.data.values to determine domination relationships in the graphs if values[x][y]> values[x][y'] then there is an edge (x,y)->(x,y')
lowercaseNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
lowerNewgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags

## M

main(String[]) - Static method in class edu.stanford.nlp.io.FileSequentialCollection
  This is simply a debugging aid that tests the functionality of the class.
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.maxent.Convert
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  With arguments, this will print out the lambda parameters of a bunch of .lam files (which are assumed to all be the same size).
main(String[]) - Static method in class edu.stanford.nlp.maxent.Problem
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.optimization.OWLQNMinimizer
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.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 named 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.sequences.ExactBestSequenceFinder
main(String[]) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Dictionary
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Extractors
  Prints out the pair of `Extractors` objects found in the file that is the first and only argument.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Command-line tagger interface.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTaggerGUI
  Run the simple tagger GUI.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTaggerServer
  Starts this server on the specified port.
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.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.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.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.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.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.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.HashIndex
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.Sets
main(String[]) - Static method in class edu.stanford.nlp.util.StringBuildMemoizer
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.
main(String[]) - Static method in class edu.stanford.nlp.web.HTMLParser
makeAsciiTable(Object[][], Object[], Object[], int, int, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
  Returns an text table containing the matrix of Strings passed in.
makeConsistent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
makeHTMLTable(String[][], String[], String[]) - Static method in class edu.stanford.nlp.util.StringUtils
  Returns an HTML table containing the matrix of Strings passed in.
makeIntFromByte2(byte[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
makeIntFromByte4(byte[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
makeList(T) - Static method in class edu.stanford.nlp.util.CollectionUtils
  Returns a new List containing the given object.
makeList(T, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
  Returns a new List containing the given objects.
makeList(T, T, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
  Returns a new List containing the given objects.
makeStringMap() - Static method in class edu.stanford.nlp.process.PTBEscapingProcessor
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, 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
maleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
map - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
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.
MARKER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "marker" grammatical relation.
markHeadNodes(Tree) - Method in class edu.stanford.nlp.trees.TreePrint
markMasdar - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
markProperNN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
matcher(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
  Get a `TregexMatcher` for this pattern on this tree.
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`.
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
  Returns the minimum of three int values.
max(Collection<Integer>) - Static method in class edu.stanford.nlp.math.SloppyMath
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.
maxDocSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
MaxentTagger - Class in edu.stanford.nlp.tagger.maxent
  The main class for users to run, train, and test the part of speech tagger.
MaxentTagger(String) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Constructor for a tagger using a model stored in a particular file.
MaxentTagger(String, TaggerConfig) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Constructor for a tagger using a model stored in a particular file, with options taken from the supplied TaggerConfig.
MaxentTaggerGUI - Class in edu.stanford.nlp.tagger.maxent
  A very simple GUI for illustrating the POS tagger tagging text.
MaxentTaggerGUI() - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTaggerGUI
MaxentTaggerServer - Class in edu.stanford.nlp.tagger.maxent
  A POS tagger server for the Stanford POS Tagger.
MaxentTaggerServer(int, MaxentTagger.TaggerWrapper, String) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTaggerServer
  Creates a new tagger server on the specified port.
maximalProjection(Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
  returns the maximal projection of `head` in `root` given a `HeadFinder`
maxIterations - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
maxLeft - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
maxNextCharInd - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
maxNextCharInd - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
maxNGramLeng - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
maxRight - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
maxY - Variable in class edu.stanford.nlp.maxent.Experiments
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).
MEASURE_PHRASE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "measure-phrase" grammatical relation.
median(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
memoryThrift - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
mergeTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
mf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
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.
minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.CGMinimizer
minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.CGMinimizer
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(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.OWLQNMinimizer
minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.OWLQNMinimizer
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
Minimizer<T extends Function> - Interface in edu.stanford.nlp.optimization
  The interface for unconstrained function minimizers.
mixedCaseMapFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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[].
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
MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "modifier" grammatical relation.
monitorX(double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
morphFeatureFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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(String) - Constructor for class edu.stanford.nlp.process.Morphology
MOVE - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
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.
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

## N

naClass - Static variable in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
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(String, int, String, int, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
NamedDependency(String, int, int, String, int, int, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
NamedDependency(Label, Label, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
naTag - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
nativeToAscii(String) - Static method in class edu.stanford.nlp.maxent.Convert
nChooseK(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
  Computes n choose k in an efficient way.
NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "negation modifier" grammatical relation.
ner() - Method in class edu.stanford.nlp.ling.CoreLabel
  Return the named entity class of the label (or null if none).
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
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.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.
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
newgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.GrammaticalStructureFactory
  Vend a new `GrammaticalStructure` based on the given `Tree`.
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
newIndex() - Static method in class edu.stanford.nlp.util.Generics
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) - Static method in class edu.stanford.nlp.process.PTBTokenizer
  Constructs a new PTBTokenizer that optionally returns newlines as their own token.
newPTBTokenizer(Reader, boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
  Constructs a new PTBTokenizer that makes CoreLabel tokens.
newPTBTokenizerFactory(boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
  Constructs a new PTBTokenizer that optionally returns carriage returns as their own token.
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
newStrings - Static variable in class edu.stanford.nlp.process.PTBEscapingProcessor
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
newToken(int, String) - Static method in class edu.stanford.nlp.trees.tregex.Token
  Returns a new Token object, by default.
newToken(int) - Static method in class edu.stanford.nlp.trees.tregex.Token
newToken(int, String) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  Returns a new Token object, by default.
newToken(int) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
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.
newtonerr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
newTreeMap() - Static method in class edu.stanford.nlp.util.Generics
newTreeNode(String, List) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
newTreeNode(Label, List) - 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 nonleaf 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 nonleaf 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.pennchinese.CTBTreeReaderFactory
  Create a new `TreeReader` using the provided `Reader`.
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.PennTreeReaderFactory
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.SimpleTreeReaderFactory
  Returns a new `TreeReader`.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.StringLabeledScoredTreeReaderFactory
  An implementation of the `TreeReaderFactory` interface.
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.
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 - Variable in class edu.stanford.nlp.trees.tregex.Token
  A reference to the next regular (non-special) token from the input stream.
next - Variable in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  A reference to the next regular (non-special) token from the input stream.
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
nodeArity() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
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`.
nodeString() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
nodeString() - Method in class edu.stanford.nlp.trees.Tree
  Returns the label of a tree node as a String.
noMidNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "nominal passive subject" grammatical relation.
NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "nominal subject" grammatical relation.
nonTerminalInfo - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
noop(Object) - Static method in class edu.stanford.nlp.util.ErasureUtils
  Does nothing, occasionally used to make Java happy that a value is used
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
normalizationTable - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
  Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer
  Normalizes a nonterminal contents (and maybe intern it).
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
  Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer
  Normalizes a leaf contents (and maybe intern it).
normalizeTerms - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
normalizeTimex - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.NPTmpRetainingTreeNormalizer
  Normalize a whole tree -- one can assume that this is the root.
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`.
normTableEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
NOWORDSHAPE - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
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.
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.
NUMBER - Static variable in interface edu.stanford.nlp.trees.tregex.TregexParserConstants
  RegularExpression Id.
NUMBER_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "compound number 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.
numChildren() - Method in class edu.stanford.nlp.trees.Tree
  Says how many children a tree node has in its local tree.
numDatasetsPerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "numeric modifier" grammatical relation.
numFolds - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
numRows(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
numRuns - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
numSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
numStartLayers - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
numTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
numTimesPruneFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
numTimesRemoveTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
numY(int) - Method in class edu.stanford.nlp.maxent.Experiments

## O

OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "object" 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.
objectEqualityIndexOf(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
  Returns the index of `daughter` in `parent` by ==.
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.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.
occuringTagsOnly() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
ocrFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
ocrTrain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
oldChars - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
oldKey - Variable in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
oldStrings - Static variable in class edu.stanford.nlp.process.PTBEscapingProcessor
oneTailedFishersExact(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
  Find a one-tailed Fisher's exact probability.
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
options - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
orFilter(Filter<E>, Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
  Filter that accepts when either filter accepts (OR).
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.
OutDataStreamFile - Class in edu.stanford.nlp.io
OutDataStreamFile(String) - Constructor for class edu.stanford.nlp.io.OutDataStreamFile
OutDataStreamFile(File) - Constructor for class edu.stanford.nlp.io.OutDataStreamFile
outDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
OUTPUT_STYLE_INLINE_XML - Static variable in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
OUTPUT_STYLE_SLASH_TAGS - Static variable in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
OUTPUT_STYLE_TSV - Static variable in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
OUTPUT_STYLE_XML - Static variable in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
outputEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
outputFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
outputFormat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
outputIterationsToFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
OutputTags - Class in edu.stanford.nlp.tagger.maxent
  This is an array of max 3 tags with probabilities for them, that the taggers have output.
OutputTags() - Constructor for class edu.stanford.nlp.tagger.maxent.OutputTags
OutputTags(String, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.OutputTags
outputToFile - Variable in class edu.stanford.nlp.optimization.QNMinimizer
outputTreeFormats - Static variable in class edu.stanford.nlp.trees.TreePrint
  The legal output tree formats.
outWriter - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
OWLQNMinimizer - Class in edu.stanford.nlp.optimization
  Class implementing the Orthant-Wise Limited-memory Quasi-Newton algorithm (OWL-QN).
OWLQNMinimizer() - Constructor for class edu.stanford.nlp.optimization.OWLQNMinimizer
OWLQNMinimizer(double) - Constructor for class edu.stanford.nlp.optimization.OWLQNMinimizer
OWLQNMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.OWLQNMinimizer

## P

p - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
pad - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
Pair<T1,T2> - Class in edu.stanford.nlp.util
  Pair is a Class for holding a pair of objects.
Pair() - Constructor for class edu.stanford.nlp.util.Pair
Pair(T1, T2) - Constructor for class edu.stanford.nlp.util.Pair
pairs - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
PairsHolder - Class in edu.stanford.nlp.tagger.maxent
  A simple class that maintains a list of WordTag pairs which are interned as they are added.
PairsHolder() - Constructor for class edu.stanford.nlp.tagger.maxent.PairsHolder
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
PARATAXIS - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "parataxis" grammatical relation.
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.
parse(String) - Method in class edu.stanford.nlp.ling.BasicDocument
  Tokenizes the given text to populate the list of words this Document represents.
parse(URL) - Method in class edu.stanford.nlp.web.HTMLParser
parse(Reader) - Method in class edu.stanford.nlp.web.HTMLParser
parse(String) - Method in class edu.stanford.nlp.web.HTMLParser
  The parse method that actually does the work.
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.
parseMethod(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
parseOperation(String) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
  Parses an operation string into a `TsurgeonPattern`.
parseString(String) - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
parseTag(String) - Static method in class edu.stanford.nlp.util.XMLUtils
PARTICIPIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "participial modifier" grammatical relation.
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.
pattern() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
pcond(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
pearsonCorrelation(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
  Direct computation of Pearson product-moment correlation coefficient.
peek() - Method in class edu.stanford.nlp.objectbank.LineIterator
peek() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
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().
peekNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
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(PrintStream) - Method in class edu.stanford.nlp.trees.Tree
  Print the tree as done in Penn Treebank merged files.
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, Tokenizer<String>) - 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`.
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 ``CyclicCoreLabel`` and the `CyclicCoreLabel`s of all its descendants.
perturbCounts(C, Random, double) - Static method in class edu.stanford.nlp.stats.Counters
PHRASAL_VERB_PARTICLE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "phrasal verb particle" grammatical relation.
PlainTextDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
  This class provides methods for reading plain text documents and writing out those documents once classified in several different formats.
PlainTextDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
  Construct a PlainTextDocumentReaderAndWriter.
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
popNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
populated(int, int) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
POSSESSION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "possession" grammatical relation.
POSSESSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "possessive" grammatical relation.
possibleTagsOnly() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
  A way for subclasses to fix any heads under special conditions The default does nothing.
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: a, b and c -> we want a to be the head
postOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
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.
precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
  This evaluates any precondition for a feature being applicable based on a certain tag.
precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
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.
predProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
preOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
prependBefore(String) - Method in class edu.stanford.nlp.ling.CoreLabel
  Prepend this String to the before String.
prependBefore(String) - Method in interface edu.stanford.nlp.ling.HasContext
  Prepend this String to the before String.
PREPOSITIONAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "prepositional complement" grammatical relation.
PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "prepositional modifier" grammatical relation.
PREPOSITIONAL_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  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.
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.
prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
  Print a multi-line respresentation of the pattern illustrating it's syntax.
prettyPrint(PrintStream) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
  Print a multi-line respresentation of the pattern illustrating it's syntax.
prettyPrint() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
  Print a multi-line respresentation of the pattern illustrating it's syntax to System.out.
prevCharIsCR - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
prevCharIsCR - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
prevCharIsLF - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
prevCharIsLF - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
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() - Method in class edu.stanford.nlp.maxent.Experiments
print(PrintFile) - Method in class edu.stanford.nlp.maxent.Experiments
print() - Method in class edu.stanford.nlp.maxent.Feature
  Prints out the points where the feature is non-zero and the values at these points.
print(PrintStream) - Method in class edu.stanford.nlp.maxent.Feature
print() - Method in class edu.stanford.nlp.maxent.Features
print() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Print out p(y|x) for all pairs to the standard output.
print() - Method in class edu.stanford.nlp.maxent.Problem
print(String) - Method in class edu.stanford.nlp.maxent.Problem
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
printAnswers(List<CoreLabel>, PrintWriter) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
  This method prints the output of the classifier to a `PrintWriter`.
printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
  Print the classifications for the document to the given Writer.
printAnswers(List<CoreLabel>, PrintWriter, int, boolean) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
printClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
printClassifierParam - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
PrintCollocationStrings(PrintWriter) - Method in class edu.stanford.nlp.trees.CollocationFinder
  Prints the collocations found in this `Tree` as strings.
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.
printCounterSortedByKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
printErrInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
printFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
printFeaturesUpto - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
PrintFile - Class in edu.stanford.nlp.io
  Shorthand class for opening an output file for human-readable output.
PrintFile(String) - Constructor for class edu.stanford.nlp.io.PrintFile
PrintFile(File) - Constructor for class edu.stanford.nlp.io.PrintFile
printFirstOrderProbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
printFooter(PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
printGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
printHeader(PrintWriter, String) - Method in class edu.stanford.nlp.trees.TreePrint
printLabelValue - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
printLocalTree() - Method in class edu.stanford.nlp.trees.Tree
printLocalTree(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree
printNR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
printProbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
printSent() - Method in class edu.stanford.nlp.tagger.maxent.History
printState(BasicDocument<L>) - Static method in class edu.stanford.nlp.ling.BasicDocument
  For internal debugging purposes only.
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.
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.
printWordTag - Static variable in class edu.stanford.nlp.ling.CategoryWordTag
  If this is false, the tag and word are never printed in toString() calls.
printXML - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
priorType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
prob - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
probConds - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Conditional probabilities.
Problem - Class in edu.stanford.nlp.maxent
  This is a general class for Problem to be solved by the MaxEnt toolkit.
Problem(Experiments, Features) - Constructor for class edu.stanford.nlp.maxent.Problem
Problem() - Constructor for class edu.stanford.nlp.maxent.Problem
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
  Returns a List of Sentences where each element is built from a run of Words in the input Document.
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(List<? extends Sentence<? extends HasWord>>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Tags the Words in each Sentence in the given List with their grammatical part-of-speech.
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
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`.
processLists(List<List<IN>>) - Method in class edu.stanford.nlp.process.AbstractListProcessor
  Process a list of lists of tokens.
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
processSentence(Sentence<I>) - Method in interface edu.stanford.nlp.ling.SentenceProcessor
  Does whatever one needs to do to a particular sentence.
processSentence(Sentence) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Returns a new Sentence that is a copy of the given sentence with all the words tagged with their part-of-speech.
product(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
  Returns the product of c1 and c2.
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.
PRUNE - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
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(Map<String, String>, char[], 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
  Tokenizer implementation that conforms to the Penn Treebank tokenization conventions.
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
ptilde() - Method in class edu.stanford.nlp.maxent.Experiments
ptilde(int) - Method in class edu.stanford.nlp.maxent.Experiments
  When we want a pre-given number of classes.
ptildeX(int) - Method in class edu.stanford.nlp.maxent.Experiments
ptildeXY(int, int) - Method in class edu.stanford.nlp.maxent.Experiments
ptildeY(int) - Method in class edu.stanford.nlp.maxent.Experiments
PUNCTUATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  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 rejects 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.pennchinese.ChineseTreebankLanguagePack
  Returns a String array of punctuation tags for this treebank/language.
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.pennchinese.ChineseTreebankLanguagePack
  Returns a String array of punctuation words for this treebank/language.
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.
purgeDatasets - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
purgeFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
PURPOSE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "purpose clause modifier" grammatical relation.
pushDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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(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.
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
px - Variable in class edu.stanford.nlp.maxent.Experiments
  px[x] holds the number of times the history x appeared in training data
pxy - Static variable in class edu.stanford.nlp.maxent.Experiments
  pxy[x][y]=# times (x,y) occurred in training
py - Variable in class edu.stanford.nlp.maxent.Experiments
  py[y] holds the number of times the outcome y appeared in training data

## Q

QNMinimizer - Class in edu.stanford.nlp.optimization
  An implementation of L-BFGS for Quasi Newton unconstrained minimization.
QNMinimizer(int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer(int, boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
QNMinimizer(FloatFunction) - 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.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() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
QNMinimizer.Record(PrintWriter) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
QNMinimizer.Record(boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
QNMinimizer.Record(boolean, Function) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
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
QNPasses - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
QNsize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
QNsize2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
QPtransform(Tree) - 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
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))
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.
QUOTEX - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.

## R

randomizedRatio - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
read(DataInputStream) - Method in class edu.stanford.nlp.ling.WordTag
read(InDataStreamFile) - Method in class edu.stanford.nlp.maxent.Feature
read(String) - Method in class edu.stanford.nlp.maxent.Features
read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
read(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
read(InDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
read(String) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeatures
read(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.TTags
read_lambdas(DataInputStream) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Read the lambdas from the stream.
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
readChar() - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Read a character.
readChar() - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Read a character.
readConfig(DataInputStream) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
  Read in a TaggerConfig.
ReadDataTagged - Class in edu.stanford.nlp.tagger.maxent
  Reads tagged data from a file and creates a dictionary.
ReadDataTagged(TaggerConfig, PairsHolder) - Constructor for class edu.stanford.nlp.tagger.maxent.ReadDataTagged
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
readDoubleArr(DataInputStream) - Static method in class edu.stanford.nlp.maxent.Convert
readerAndWriter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
readFloatArr(DataInputStream) - Static method in class edu.stanford.nlp.maxent.Convert
readL(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Read the lambdas from the file.
readLines(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, wrapping the generated FileInputStream with an instance of the supplied class.
readModelAndInit(TaggerConfig, String, boolean) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
  This reads the complete tagger from a single model stored in a file, at a URL, or as a resource in a jar file, and inits the tagger using a combination of the properties passed in and parameters from the file.
readModelAndInit(TaggerConfig, DataInputStream, boolean) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
  This reads the complete tagger from a single model file, and inits the tagger using a combination of the properties passed in and parameters from the file.
readNextDocumentText() - Method in class edu.stanford.nlp.ling.DocumentReader
  Reads the next document's worth of text from the reader.
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.
readOutput(int, String, boolean) - Method in class edu.stanford.nlp.tagger.maxent.CollectionTaggerOutputs
readReaderFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
readReaderFromString(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
  Open a BufferedReader to a file or URL specified by a String name.
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.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.
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.
REFERENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "referent" grammatical relation.
REGEX - Static variable in interface edu.stanford.nlp.trees.tregex.TregexParserConstants
  RegularExpression Id.
REGEX - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
ReInit(Reader, int, int, int) - Method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Reinitialise.
ReInit(Reader, int, int) - Method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Reinitialise.
ReInit(Reader) - Method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Reinitialise.
ReInit(InputStream, String, int, int, int) - Method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Reinitialise.
ReInit(InputStream, int, int, int) - Method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Reinitialise.
ReInit(InputStream, String) - Method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Reinitialise.
ReInit(InputStream) - Method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Reinitialise.
ReInit(InputStream, String, int, int) - Method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Reinitialise.
ReInit(InputStream, int, int) - Method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Reinitialise.
ReInit(SimpleCharStream) - Static method in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
  Reinitialise parser.
ReInit(SimpleCharStream, int) - Static method in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
  Reinitialise parser.
ReInit(Reader, int, int, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Reinitialise.
ReInit(Reader, int, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Reinitialise.
ReInit(Reader) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Reinitialise.
ReInit(InputStream, String, int, int, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Reinitialise.
ReInit(InputStream, int, int, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Reinitialise.
ReInit(InputStream, String) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Reinitialise.
ReInit(InputStream) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Reinitialise.
ReInit(InputStream, String, int, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Reinitialise.
ReInit(InputStream, int, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Reinitialise.
ReInit(SimpleCharStream) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
  Reinitialise parser.
ReInit(SimpleCharStream, int) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
  Reinitialise parser.
rejectFilter() - Static method in class edu.stanford.nlp.util.Filters
  The rejectFilter accepts nothing.
REL_W_STR_ARG - Static variable in interface edu.stanford.nlp.trees.tregex.TregexParserConstants
  RegularExpression Id.
RELABEL - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
RELATION - Static variable in interface edu.stanford.nlp.trees.tregex.TregexParserConstants
  RegularExpression Id.
RELATIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "relative" grammatical relation.
RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "relative clause modifier" grammatical relation.
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.
release() - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
reln() - Method in class edu.stanford.nlp.trees.TypedDependency
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(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<KEY>) - 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() - 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
  Removes an object from the index, if it exists (otherwise nothing happens).
remove(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet
  Removes the specified element from this set if it is present.
remove(Object) - Method in interface edu.stanford.nlp.util.Index
remove(Class<KEY>) - Method in interface edu.stanford.nlp.util.TypesafeMap
  Removes the given key from the map, returning the value removed.
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.
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.
removeBackgroundSingletonFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
removeChild(int) - Method in class edu.stanford.nlp.trees.Tree
  Destructively removes the child at some daughter index and returns it.
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.
removeLast() - Method in class edu.stanford.nlp.maxent.Features
removeLast() - Method in class edu.stanford.nlp.maxent.Problem
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
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.
removeTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
removeTopNPercent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
repeat(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
REPLACE - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
replaceNode(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
  replaces all instances (by ==) of node with node1.
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).
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
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.
restrictedArgMax(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
restrictLabels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
restrictTransitionsTimit - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
retainEntitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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`
reverse(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
reverseIndexOrder(TwoDimensionalCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
  Produces a new ConditionalCounter.
revert(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
rif - Variable in class edu.stanford.nlp.objectbank.ObjectBank
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.
rightContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
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.
rightWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
  How many positions to the right a position is dependent on.
rightWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
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.
rootLabelOnlyFormat - Static variable in class edu.stanford.nlp.trees.TreePrint
rootNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
round(double, int) - Static method in class edu.stanford.nlp.math.SloppyMath
  E.g.
run() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTaggerServer
  Runs this tagger server.
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

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.
safeDeepCopy(Tree) - Static method in class edu.stanford.nlp.trees.Trees
  #### MAJOR UGLINESS #### this is a workaround for the fact that there's no good way to clone a tree.
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.
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
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.
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(OutDataStreamFile) - Method in class edu.stanford.nlp.maxent.Feature
save(String) - Method in class edu.stanford.nlp.maxent.Features
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
save(OutDataStreamFile) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
save(String) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeatures
save(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
save(DataOutputStream) - Method in class edu.stanford.nlp.tagger.maxent.TTags
save(DataOutputStream) - Method in class edu.stanford.nlp.util.Pair
  Write a string representation of a Pair from a DataStream.
save2DCounter(TwoDimensionalCounter<T1, T2>, String) - Static method in class edu.stanford.nlp.stats.Counters
save_lambdas(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Writes the lambda feature weights to the file.
save_lambdas(OutDataStreamFile, double[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Writes the lambdas to a stream.
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.
saveDoubleArr(DataOutputStream, double[]) - Static method in class edu.stanford.nlp.maxent.Convert
saveFeatureIndexToDisk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
saveFloatArr(DataOutputStream, float[]) - Static method in class edu.stanford.nlp.maxent.Convert
saveModel(String, TaggerConfig) - Static method in class edu.stanford.nlp.tagger.maxent.GlobalHolder
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.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.
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.
scaledSGDMethod - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
scaleOpt - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
score() - Method in class edu.stanford.nlp.trees.Constituent
  access score
score() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Returns the node's 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
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.
ScoredObject<T> - Class in edu.stanford.nlp.util
  Wrapper class for holding a scored object
ScoredObject() - Constructor for class edu.stanford.nlp.util.ScoredObject
ScoredObject(T, double) - Constructor for class edu.stanford.nlp.util.ScoredObject
scoreOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
  Computes the unnormalized log conditional distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
scoreOf(int[]) - Method in interface edu.stanford.nlp.sequences.SequenceModel
  Computes the score assigned by this model to the whole sequence.
scoreOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
scoreOf(int[]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
scoresOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
  Computes the unnormalized log conditional distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
scoresOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
searchAndReplace(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
searchGraphPrefix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
searchGraphPrune - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
SELECTION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
selfTest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
selfTrainConfidenceThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
selfTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
selfTrainIterations - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
selfTrainWindowSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
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
sent - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
Sentence<T extends HasWord> - Class in edu.stanford.nlp.ling
  Sentence holds a single sentence, and mediates between word numbers and words.
Sentence() - Constructor for class edu.stanford.nlp.ling.Sentence
  Constructs an empty sentence.
Sentence(int) - Constructor for class edu.stanford.nlp.ling.Sentence
  Constructs an empty list with the specified initial capacity.
Sentence(Collection<T>) - Constructor for class edu.stanford.nlp.ling.Sentence
  Constructs a sentence from the input Collection.
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.pennchinese.ChineseTreebankLanguagePack
  Returns a String array of sentence final punctuation tags for this treebank/language.
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.pennchinese.ChineseTreebankLanguagePack
  Returns a String array of sentence final punctuation words for this treebank/language.
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.
SentenceProcessor<I extends HasWord,O extends HasWord> - Interface in edu.stanford.nlp.ling
  This is a simple interface for applying a transformer to a `Sentence`.
sentIndex() - Method in class edu.stanford.nlp.ling.CoreLabel
sentIndex() - Method in interface edu.stanford.nlp.ling.HasIndex
SeqClassifierFlags - Class in edu.stanford.nlp.sequences
  Flags for sequence classifiers.
SeqClassifierFlags() - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
SeqClassifierFlags(Properties) - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
  Create a new SeqClassifierFlags object and initialize it using values in the Properties object.
SequenceModel - Interface in edu.stanford.nlp.sequences
  Class capable of scoring sequences of a fixed length, typically with a probability distribution over such sequences.
serializeCounter(Counter<T>, String) - Static method in class edu.stanford.nlp.stats.Counters
serializeDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
serializedDictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
serializeTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
serializeToText - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
set(int, String, String) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
set(int, int, int) - Method in class edu.stanford.nlp.tagger.maxent.History
set(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
set(Class<KEY>, VALUE) - Method in class edu.stanford.nlp.util.ArrayCoreMap
  Associates the given value with the given type for future calls to get.
set(Class<KEY>, 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<KEY>, 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 String after the word.
setAfter(String) - Method in interface edu.stanford.nlp.ling.HasContext
  Set the String after the word.
setAmbClasses() - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
  This makes ambiguity classes from all words in the dictionary and remembers their classes in the TagCounts
setBefore(String) - Method in class edu.stanford.nlp.ling.CoreLabel
  Set the String before the word.
setBefore(String) - Method in interface edu.stanford.nlp.ling.HasContext
  Set the String before the word.
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
setBinary() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
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.LabeledScoredTreeLeaf
  Leaves have no children.
setChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
  Replaces the `i`th child of `this` with the tree t.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Leaves have no children.
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<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`.
setClosedClassTags(String[]) - Method in class edu.stanford.nlp.tagger.maxent.TTags
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
setCounter(K1, ClassicCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
  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.
setCurrent(String) - Method in class edu.stanford.nlp.ling.CoreLabel
  Set the String which is the unmangled word.
setCurrent(String) - Method in interface edu.stanford.nlp.ling.HasContext
  Set the String which is the unmangled word.
setDebugStream(PrintStream) - Static method in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
  Set debug output.
setDebugStream(PrintStream) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
  Set debug output.
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
setDep(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TypedDependency
setDivider(String) - Static method in class edu.stanford.nlp.ling.LabeledWord
  Set the String (usually just a single character) used to mark the separation between the word and the tag.
setDivider(String) - Static method in class edu.stanford.nlp.ling.TaggedWord
  Set the String (usually just a single character) used to mark the separation between the word and the tag.
setDivider(String) - Static method in class edu.stanford.nlp.ling.WordLemmaTag
  Set the String (usually just a single character) used to mark the separation between the word and the tag.
setDivider(String) - Static method in class edu.stanford.nlp.ling.WordTag
  Set the String (usually just a single character) used to mark the separation between the word and the tag.
setDocID(String) - Method in class edu.stanford.nlp.ling.CoreLabel
setDocID(String) - Method in interface edu.stanford.nlp.ling.HasIndex
setEmptyType(EmptyType) - Method in class edu.stanford.nlp.movetrees.EmptyTreeLeaf
setEncoding(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Set the character encoding.
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.
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
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) - 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) - Method in class edu.stanford.nlp.ling.WordTag
  Sets a WordTag from decoding the `String` passed in.
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.
setGov(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TypedDependency
setHeadFinder(HeadFinder) - Method in class edu.stanford.nlp.trees.TreePrint
  Set the headfinder to be used for lexicalizing trees.
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.
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(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.LabeledScoredTreeLeaf
  Sets the label associated with the current node, if there is one.
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(CyclicCoreLabel) - 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
setLearnClosedTags(boolean) - Method in class edu.stanford.nlp.tagger.maxent.TTags
setLemma(String) - Method in class edu.stanford.nlp.ling.CoreLabel
setLemma(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
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.
setMaxY(int[]) - Method in class edu.stanford.nlp.maxent.Experiments
setNER(String) - Method in class edu.stanford.nlp.ling.CoreLabel
setNonBinary() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
setObject(T) - Method in class edu.stanford.nlp.util.ScoredObject
setOldOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
setOpenClassTags(String[]) - Method in class edu.stanford.nlp.tagger.maxent.TTags
setParent(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode
  Set the parent for the current node.
setPathPrefix(String) - Static method in class edu.stanford.nlp.tagger.maxent.ASBCDict
setPatternString(String) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
setPrintWriter(PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
  Sets the default print writer for printing trees with the instance.
setProperties(Properties) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
  Initialize this object using values in Properties object.
setProperties(Properties, boolean) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
  Initialize using values in Properties file.
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(TsurgeonPatternRoot) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
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.LabeledScoredTreeLeaf
  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
setSentenceFinalPuncWords(String[]) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
setSentIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
setSentIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
setSize(int) - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
setSource(int) - Method in class edu.stanford.nlp.util.IntUni
setSpans() - Method in class edu.stanford.nlp.trees.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.
setStaticCapitalizeTimex(boolean) - Static method in class edu.stanford.nlp.process.Americanize
setStem(boolean) - Method in class edu.stanford.nlp.trees.TreePrint
  Sets whether or not to stem the Trees using Morphology.
setStringAllowance(int) - Static method in class edu.stanford.nlp.util.StringBuildMemoizer
setSum() - Method in class edu.stanford.nlp.maxent.Feature
setTabSize(int) - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
setTabSize(int) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
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.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
setTag(int, String) - Method in class edu.stanford.nlp.tagger.maxent.History
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>) - Static 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
setTraceTo(Tree) - Method in class edu.stanford.nlp.movetrees.EmptyTreeLeaf
setTreeGraph(TreeGraph) - Method in class edu.stanford.nlp.trees.TreeGraphNode
  Set pointer to the `TreeGraph` of which this node is a part.
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(int, int, double) - Method in class edu.stanford.nlp.maxent.Feature
  used to sequentially set the values of a feature -- index is the pace in the arrays ; key goes into indexedValues, and value goes into valuesI
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
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 (if one is stored).
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
setWords(Collection<T>) - Method in class edu.stanford.nlp.ling.Sentence
  Set the Sentence to this Collection of words.
setX(Object[]) - Method in class edu.stanford.nlp.maxent.DataGeneric
setX(Object[]) - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
setY(String) - Method in class edu.stanford.nlp.maxent.DataGeneric
setY(String) - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
SGD2QNhessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
SGDPasses - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
shiftLeft() - Method in class edu.stanford.nlp.util.IntTuple
shortArrToByteArr(short[]) - Static method in class edu.stanford.nlp.maxent.Convert
shortArrToByteArr(short[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
shortArrToByteArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
shortValue() - Method in class edu.stanford.nlp.util.MutableDouble
shortValue() - Method in class edu.stanford.nlp.util.MutableInteger
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.
sighanCorporaDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
  for Sighan bakeoff 2005, the path to the dictionary of bigrams appeared in corpus
sighanPostProcessing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
sigmoid(double) - Static method in class edu.stanford.nlp.math.SloppyMath
  Compute the sigmoid function with mean zero.
SimpleCharStream - Class in edu.stanford.nlp.trees.tregex
  An implementation of interface CharStream, where the stream is assumed to contain only ASCII characters (without unicode processing).
SimpleCharStream(Reader, int, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Constructor.
SimpleCharStream(Reader, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Constructor.
SimpleCharStream(Reader) - Constructor for class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream, String, int, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream, int, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream, String, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream, String) - Constructor for class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream) - Constructor for class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Constructor.
SimpleCharStream - Class in edu.stanford.nlp.trees.tregex.tsurgeon
  An implementation of interface CharStream, where the stream is assumed to contain only ASCII characters (without unicode processing).
SimpleCharStream(Reader, int, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Constructor.
SimpleCharStream(Reader, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Constructor.
SimpleCharStream(Reader) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream, String, int, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream, int, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream, String, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream, String) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Constructor.
SimpleCharStream(InputStream) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Constructor.
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
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`.
SimpleTreeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.SimpleTreeFactory
  Creates a new `TreeFactory`.
SimpleTreeReaderFactory - Class in edu.stanford.nlp.trees
  This class implements a simple default `TreeReaderFactory`.
SimpleTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.SimpleTreeReaderFactory
size() - Method in class edu.stanford.nlp.io.FileSequentialCollection
  Returns the size of the FileSequentialCollection.
size() - Method in class edu.stanford.nlp.maxent.Experiments
size() - Method in class edu.stanford.nlp.maxent.Features
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.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 - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
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.ArrayMap
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.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 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 interface edu.stanford.nlp.util.TypesafeMap
  Returns the number of keys in the map.
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.
sloppyGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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(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.
solve() - Method in class edu.stanford.nlp.maxent.CGRunner
  Solves the problem using QN.
solveCG() - Method in class edu.stanford.nlp.maxent.CGRunner
  Solves the problem using CG.
solveL1(double) - Method in class edu.stanford.nlp.maxent.CGRunner
  Solves the problem using OWLQN.
solveQN() - Method in class edu.stanford.nlp.maxent.CGRunner
  Solves the problem using QN.
sorted(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
  Return the items of an Iterable as a sorted list.
sortedIfPossible(Collection<T>) - Static method in class edu.stanford.nlp.util.ErasureUtils
specialConstructor - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
  This variable determines which constructor was used to create this object and thereby affects the semantics of the "getMessage" method (see below).
specialConstructor - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
  This variable determines which constructor was used to create this object and thereby affects the semantics of the "getMessage" method (see below).
specialToken - Variable in class edu.stanford.nlp.trees.tregex.Token
  This field is used to access special tokens that occur prior to this token, but after the immediately preceding regular (non-special) token.
specialToken - Variable in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  This field is used to access special tokens that occur prior to this token, but after the immediately preceding regular (non-special) token.
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.
splitChar - Variable in class edu.stanford.nlp.process.WordToTaggedWordProcessor
  The char that we will split on.
splitDocuments - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
splitOnHead - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
st - Variable in class edu.stanford.nlp.process.TokenizerAdapter
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() - 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.
startDoing(String) - Static method in class edu.stanford.nlp.util.Timing
  Print the start of timing message to stderr and start the timer.
startElement(String, String, String, Attributes) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
startElement(String, String, String, Attributes) - Method in class edu.stanford.nlp.tagger.maxent.TaggerSaxInterface
startFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.pennchinese.ChineseTreebankLanguagePack
  Returns a String array of treebank start symbols.
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.
startTime() - Static method in class edu.stanford.nlp.util.Timing
  Start (static) timer.
staticFlag - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
  Whether parser is static.
staticFlag - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
  Whether parser is static.
stdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
stem(Word) - Method in class edu.stanford.nlp.process.Morphology
stem(String) - Method in class edu.stanford.nlp.process.Morphology
stem(WordTag) - Method in class edu.stanford.nlp.process.Morphology
stem(String, String) - Method in class edu.stanford.nlp.process.Morphology
stem(String, String, Morpha, boolean) - Static method in class edu.stanford.nlp.process.Morphology
  Lemmatize the word, being sensitive to the tag, using the passed in lexer.
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(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
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
stemStaticSynchronized(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
stochasticBatchSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
StochasticCalculateMethods - Enum in edu.stanford.nlp.optimization
  This enumeratin was created to organize the selection of different methods for stochastic calculations.
stochasticMethod - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
strictlyFirstOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
strictlySecondOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
strictlyThirdOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
strictlyZeroethOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
stringAToByteArr(String) - Static method in class edu.stanford.nlp.maxent.Convert
StringBuildMemoizer - Class in edu.stanford.nlp.util
  Class for memoizing the result of string concatenations.
StringBuildMemoizer() - Constructor for class edu.stanford.nlp.util.StringBuildMemoizer
stringIntern(Pair<String, String>) - Static method in class edu.stanford.nlp.util.Pair
  If first and second are Strings, then this returns an InternedPair 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.
StringLabeledScoredTreeReaderFactory - 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.
StringLabeledScoredTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.StringLabeledScoredTreeReaderFactory
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
stringSubs - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
stringTagsAt(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
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.
StringUtils - Class in edu.stanford.nlp.util
  StringUtils is a class for random String things, including output formatting and command line argument parsing.
stringUToByteArr(String) - Static method in class edu.stanford.nlp.maxent.Convert
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 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.
subArray(int[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
subCWGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  The "subject" grammatical relation.
subList(int, int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
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, ClassicCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
subtractAll(TwoDimensionalCounter<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
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.
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
sum - Variable in class edu.stanford.nlp.maxent.Feature
sum(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
sumSquared(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
sumSquaredError(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
sumValues() - Method in class edu.stanford.nlp.maxent.Feature
suppressMidDotPostprocessing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
svmModelFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
switchedFilter(Filter<E>, boolean) - Static method in class edu.stanford.nlp.util.Filters
  Filter that's either negated or normal as specified.
SwitchTo(int) - Static method in class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
  Switch to specified lex state.
SwitchTo(int) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
  Switch to specified lex state.
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

## T

tabSize - Static variable in class edu.stanford.nlp.trees.tregex.SimpleCharStream
tabSize - Static variable in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
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() - 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_LABEL - Static variable in class edu.stanford.nlp.ling.TaggedWordFactory
TAG_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
taggedDependencies() - Method in class edu.stanford.nlp.trees.Tree
  Return a Set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
taggedDependencies(Filter<Dependency<Label, Label, Object>>) - Method in class edu.stanford.nlp.trees.Tree
  Return a set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
taggedDependencies(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
  Return a set of TaggedWord-TaggedWord dependencies, represented as Dependency objects for the Tree.
taggedDependencies(Filter<Dependency<Label, Label, Object>>, HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
  Return a set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the 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.
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`.
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.
TaggerConfig - Class in edu.stanford.nlp.tagger.maxent
  Reads and stores configuration information for a POS tagger.
TaggerConfig(String[]) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
TaggerConfig.Mode - Enum in edu.stanford.nlp.tagger.maxent
TaggerExperiments - Class in edu.stanford.nlp.tagger.maxent
  This class represents the training samples.
TaggerExperiments() - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerExperiments
TaggerExperiments(TaggerConfig) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerExperiments
TaggerFeature - Class in edu.stanford.nlp.tagger.maxent
  Holds a Tagger Feature for the loglinear model.
TaggerFeature(int, int, FeatureKey) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeature
TaggerFeature() - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeature
TaggerFeatures - Class in edu.stanford.nlp.tagger.maxent
  This class contains POS tagger specific features.
TaggerFeatures() - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeatures
TaggerSaxInterface<T> - Class in edu.stanford.nlp.tagger.maxent
  Based on SAXInterface in TransformXML, but discards internal tags in fields to be tagged, tagging all content in the fields.
TaggerSaxInterface() - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerSaxInterface
tagSentence(List<? extends HasWord>) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Returns a new Sentence that is a copy of the given sentence with all the words tagged with their part-of-speech.
tagSentence(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
  Tags the sentence s by running maxent model.
tagString(String) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Tags the input string and returns the tagged version.
tagTokenizedString(String) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Tags the tokenized input string and returns the tagged version.
TemplateHash - Class in edu.stanford.nlp.tagger.maxent
TemplateHash() - Constructor for class edu.stanford.nlp.tagger.maxent.TemplateHash
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_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
terminateOnNumericalZero(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
terminateOnRelativeNorm(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
TestClassifier - Class in edu.stanford.nlp.tagger.maxent
  Tags data and can handle either data with gold-standard tags (computing performance statistics) or unlabeled data.
testDirs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
testFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
testFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
testHessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
testObjFunction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
TestSentence - Class in edu.stanford.nlp.tagger.maxent
TestSentence(LambdaSolve) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
TestSentence(LambdaSolve, String[], String[], PrintFile, Dictionary) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
testVariance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
text - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
textBuffer - Variable in class edu.stanford.nlp.web.HTMLParser
textFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
textToBeTransformed - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
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.).
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
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.
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.
timitDatum - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
title - Variable in class edu.stanford.nlp.web.HTMLParser
title() - Method in class edu.stanford.nlp.web.HTMLParser
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
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
  Can be slow.
toArray(T[]) - Method in class edu.stanford.nlp.objectbank.ObjectBank
  Can be slow.
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
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.
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.
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(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
toDebugStructureString(Tree) - Static method in class edu.stanford.nlp.trees.Trees
  Return information about the objects in this Tree.
toDescendingMagnitudeSortedListWithCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
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.
toFlatTree(Sentence<?>) - Static method in class edu.stanford.nlp.trees.Trees
  Turns a sentence into a flat phrasal tree.
toFlatTree(Sentence<?>, LabelFactory) - Static method in class edu.stanford.nlp.trees.Trees
  Turns a sentence into a flat phrasal tree.
toInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Token - Class in edu.stanford.nlp.trees.tregex
  Describes the input token stream.
Token() - Constructor for class edu.stanford.nlp.trees.tregex.Token
  No-argument constructor
Token(int) - Constructor for class edu.stanford.nlp.trees.tregex.Token
  Constructs a new token for the specified Image.
Token(int, String) - Constructor for class edu.stanford.nlp.trees.tregex.Token
  Constructs a new token for the specified Image and Kind.
Token - Class in edu.stanford.nlp.trees.tregex.tsurgeon
  Describes the input token stream.
Token() - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  No-argument constructor
Token(int) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  Constructs a new token for the specified Image.
Token(int, String) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  Constructs a new token for the specified Image and Kind.
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 - Static variable in interface edu.stanford.nlp.trees.tregex.TregexParserConstants
  Literal token values.
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.
tokenImage - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  Literal token values.
tokenize() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
  Returns pieces of text in element as a List of tokens.
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.
Tokenizer<T> - Interface in edu.stanford.nlp.process
  Tokenizers break up text into individual Objects.
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.objectbank
  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.
tokenizeText(Reader) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Reads data from r, tokenizes it with the default (Penn Treebank) tokenizer, and returns a List of Sentence objects, which can then be fed into tagSentence.
tokenizeText(Reader, TokenizerFactory) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
  Reads data from r, tokenizes it with the given tokenizer, and returns a List of Lists of (extends) HasWord objects, which can then be fed into tagSentence.
TokenMgrError - Error in edu.stanford.nlp.trees.tregex
  Token Manager Error.
TokenMgrError() - Constructor for error edu.stanford.nlp.trees.tregex.TokenMgrError
  No arg constructor.
TokenMgrError(String, int) - Constructor for error edu.stanford.nlp.trees.tregex.TokenMgrError
  Constructor with message and reason.
TokenMgrError(boolean, int, int, int, String, char, int) - Constructor for error edu.stanford.nlp.trees.tregex.TokenMgrError
  Full Constructor.
TokenMgrError - Error in edu.stanford.nlp.trees.tregex.tsurgeon
  Token Manager Error.
TokenMgrError() - Constructor for error edu.stanford.nlp.trees.tregex.tsurgeon.TokenMgrError
  No arg constructor.
TokenMgrError(String, int) - Constructor for error edu.stanford.nlp.trees.tregex.tsurgeon.TokenMgrError
  Constructor with message and reason.
TokenMgrError(boolean, int, int, int, String, char, int) - Constructor for error edu.stanford.nlp.trees.tregex.tsurgeon.TokenMgrError
  Full Constructor.
tolerance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
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.
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`.
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.
toSecondsString() - Method in class edu.stanford.nlp.util.Timing
toSecondsString(long) - Static method in class edu.stanford.nlp.util.Timing
toSentence(List<String>, List<String>) - Static method in class edu.stanford.nlp.ling.Sentence
  Create a Sentence as a list of `TaggedWord` from two lists of `String`, one for the words, and the second for the tags.
toSentence(List<String>) - Static method in class edu.stanford.nlp.ling.Sentence
  Create a Sentence as a list of `Word` from a list of `String`.
toSentence(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.
toSentenceString(Sentence) - 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
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() - 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
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.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.CyclicCoreLabel
  Return a `String` containing the value (and index, if any) of this label.
toString(String) - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
  Returns a formatted string representing this label.
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() - Method in class edu.stanford.nlp.ling.Sentence
  Returns the sentence as a string with a space between words.
toString(boolean) - Method in class edu.stanford.nlp.ling.Sentence
  Returns the sentence as a string with a space between words.
toString() - Method in class edu.stanford.nlp.ling.StringLabel
toString() - 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() - Method in class edu.stanford.nlp.ling.WordTag
  Return a String representation of the label.
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.movetrees.EmptyTreeLeaf
  prints the trace, plus the label and the yield of the pointed-to constituent
toString() - Method in class edu.stanford.nlp.process.Americanize
toString() - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
  Print the properties specified by this object.
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() - 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.tagger.maxent.AmbiguityClass
toString() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
toString() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim.ExtractorDistsimConjunction
toString() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
toString() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
toString() - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
toString() - Method in class edu.stanford.nlp.tagger.maxent.History
toString() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
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.GrammaticalRelation
  Returns short name (abbreviation) for this `GrammaticalRelation`.
toString() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
toString() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
toString() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Convert tree leaf to its label's string.
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
  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() - Method in class edu.stanford.nlp.trees.tregex.Token
  Returns the image.
toString() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
toString() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.Token
  Returns the image.
toString() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
toString() - Method in class edu.stanford.nlp.trees.TypedDependency
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(int[][]) - 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 maxKeysToPring elements.
toString() - Method in class edu.stanford.nlp.util.CollectionValuedMap
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 maxKeysToPring 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.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 maxKeysToPring elements.
toString() - Method in class edu.stanford.nlp.util.ScoredObject
toString(String...) - Static method in class edu.stanford.nlp.util.StringBuildMemoizer
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.XMLUtils.XMLTag
toStringBuilder(StringBuilder) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Appends the printed form of a parse tree (as a bracketed String) to a `StringBuffer`.
toStringBuilder(StringBuilder) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
  Appends the printed form of a parse tree (as a bracketed String) to a `StringBuffer`.
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`.
toStringOneEntryPerLine() - Method in class edu.stanford.nlp.util.HashIndex
toStringOneEntryPerLine(int) - Method in class edu.stanford.nlp.util.HashIndex
toStructureDebugString() - Method in class edu.stanford.nlp.trees.Tree
  Returns a String reporting what kinds of Tree and Label nodes this Tree contains.
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(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
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.
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
tr(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
  Swap any occurances of any characters in the from String in the input String with the corresponding character from the to String.
traceTo() - Method in class edu.stanford.nlp.movetrees.EmptyTreeLeaf
trainAndSaveModel(TaggerConfig) - Static method in class edu.stanford.nlp.tagger.maxent.TestClassifier
  Reads in the training corpus from a filename and trains the tagger
trainDirs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
trainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
trainFileList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
trainFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
trainHierarchical - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
transferSigmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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.
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.
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.DependencyTreeTransformer
transformTree(Tree) - Method in class edu.stanford.nlp.trees.QPTreeTransformer
  Right now (July 2007) 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
transformTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
  Does whatever one needs to do to a particular tree.
transformValues() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
  This is a specialized procedure to change the values of parses for semantic ranking.
TransformXML<T> - Class in edu.stanford.nlp.process
  Reads XML from an input file or stream and writes XML to an output file or stream, while transforming text appearing inside specified XML tags by applying a specified ``Function``.
TransformXML() - Constructor for class edu.stanford.nlp.process.TransformXML
transformXML(String[], Function<String, T>, File) - Method in class edu.stanford.nlp.process.TransformXML
  Read XML from the specified file and write XML to stdout, while transforming text appearing inside the specified XML tags by applying the specified ``Function``.
transformXML(String[], Function<String, T>, File, File) - Method in class edu.stanford.nlp.process.TransformXML
  Read XML from the specified file and write XML to specified file, while transforming text appearing inside the specified XML tags by applying the specified ``Function``.
transformXML(String[], Function<String, T>, InputStream) - Method in class edu.stanford.nlp.process.TransformXML
  Read XML from input stream and write XML to stdout, while transforming text appearing inside the specified XML tags by applying the specified ``Function``.
transformXML(String[], Function<String, T>, InputStream, OutputStream) - Method in class edu.stanford.nlp.process.TransformXML
  Read XML from input stream and write XML to output stream, while transforming text appearing inside the specified XML tags by applying the specified ``Function``.
transformXML(String[], Function<String, T>, InputStream, Writer) - Method in class edu.stanford.nlp.process.TransformXML
  Read XML from input stream and write XML to output stream, while transforming text appearing inside the specified XML tags by applying the specified ``Function``.
transformXML(String[], Function<String, T>, InputStream, Writer, TransformXML.SAXInterface<T>) - Method in class edu.stanford.nlp.process.TransformXML
  Read XML from input stream and write XML to output stream, while transforming text appearing inside the specified XML tags by applying the specified ``Function``.
TransformXML.SAXInterface<T> - Class in edu.stanford.nlp.process
TransformXML.SAXInterface() - Constructor for class edu.stanford.nlp.process.TransformXML.SAXInterface
traverseLocate(Tree[], String[], boolean) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
  Attempt to locate head daughter tree from among daughters.
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_NODE_NONTERMINAL_LABEL - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
TREE_NODE_TERMINAL_LABEL - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserConstants
  RegularExpression Id.
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.
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.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.
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.
TreeCoreAnnotations - Class in edu.stanford.nlp.trees
  Set of common annotations for `CoreMap`'s 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
treeFactory() - Method in class edu.stanford.nlp.movetrees.EmptyTreeLeaf
  major yuk here.
treeFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
  Return a `TreeFactory` that produces trees of the same type as the current `Tree`.
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 descendent class.
treeFactory() - Method in class edu.stanford.nlp.trees.TreeGraphNode
  Returns a `TreeFactory` that produces `TreeGraphNode`s.
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.
TreeFunctions() - Constructor for class edu.stanford.nlp.trees.TreeFunctions
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 `TreeGraphNode`s.
TreeGraphNodeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
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 - 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
  The anglocentric constructor.
TreePrint(String, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.TreePrint
TreePrint(String, String, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.TreePrint
TreePrint(String, String, TreebankLanguagePack, 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.trees.AbstractTreebankLanguagePack
  Returns a TreeReaderFactory suitable for general purpose use with this language/treebank.
treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
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 descendent class.
Trees - Class in edu.stanford.nlp.trees
  Various static utilities for the `Tree` class.
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`.
TregexParserConstants - Interface in edu.stanford.nlp.trees.tregex
  Token literal values and constants.
TregexParserTokenManager - Class in edu.stanford.nlp.trees.tregex
  Token Manager.
TregexParserTokenManager(SimpleCharStream) - Constructor for class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
  Constructor.
TregexParserTokenManager(SimpleCharStream, int) - Constructor for class edu.stanford.nlp.trees.tregex.TregexParserTokenManager
  Constructor.
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
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.
TsurgeonParserConstants - Interface in edu.stanford.nlp.trees.tregex.tsurgeon
  Token literal values and constants.
TsurgeonParserTokenManager - Class in edu.stanford.nlp.trees.tregex.tsurgeon
  Token Manager.
TsurgeonParserTokenManager(SimpleCharStream) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
  Constructor.
TsurgeonParserTokenManager(SimpleCharStream, int) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTokenManager
  Constructor.
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 `Tree`s when successfully matched on with a `TregexMatcher`.
TTags - Class in edu.stanford.nlp.tagger.maxent
  This class holds the POS tags, assigns them unique ids, and knows which tags are open versus closed class.
TTags() - Constructor for class edu.stanford.nlp.tagger.maxent.TTags
tuneSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
twoStage - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
type - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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 which do not break the tree structure of dependencies
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.
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 collapsing them, but keep a tree structure:

  no relative clause processing

  no xsubj relations

  no propagation of conjuncts
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
TypesafeMap<BASE> - Interface in edu.stanford.nlp.util
  Type signature for a class that supports the basic operations required of a typesafe heterogeneous map.
TypesafeMap.Key<BASE,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))
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
unescapeStringForXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
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(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
  Returns the union of sets s1 and s2.
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.
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(String, int, String, int) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
UnnamedDependency(String, int, int, String, int, int) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
UnnamedDependency(Label, Label) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
unprocess(String) - Static method in class edu.stanford.nlp.process.PTBEscapingProcessor
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
UpdateLineColumn(char) - Static method in class edu.stanford.nlp.trees.tregex.SimpleCharStream
UpdateLineColumn(char) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream
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.
use2W - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
use4Clique - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useAbbr1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useABGENE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useABSTR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useABSTRFreq - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useABSTRFreqDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useAccCase - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useAcqPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useACR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useAgreement - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useAltGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useAnnexing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useANTE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useAs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useASBCChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useASBCPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useASBCSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useAuxPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useBacktracking() - Method in class edu.stanford.nlp.optimization.QNMinimizer
useBeginSent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useBig5 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useBigramInTwoClique - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useBoundarySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useChPos - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
  use POS information (an "open" feature for Chinese segmentation)
useChunks - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useChunkySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useClassFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useConcord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useConjBreak - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useCTBChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useCTBPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useCTBSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
useDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDictASBC2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDictCTB2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDictHK2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDictionaryConjunctions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDictionaryConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDictleng - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDictPK2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDisjShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDisjunctiveShapeInteraction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useEitherSideDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useEitherSideWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useEntityRule - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useEntityTypes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useEntityTypeSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useExternal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useExtraTaggySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFeaturesC4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFeaturesC5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFeaturesC6gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFeaturesCpC4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFeaturesCpC5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFeaturesCpC6gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFilter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFirstNgram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFirstWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFloat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useFREQ - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useGazettePhrases - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useGazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useGenericFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useGENIA - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useGoodForNamesCpC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useHeadGov - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useHk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useHKChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useHKPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useHKSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useHuber - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useHybrid - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useInna - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useInternal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useIsDateRange - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useIsURL - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useKBest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useLastNgram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useLastRealWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useLC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useLemmaAsWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useLemmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useLongSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useMidDotShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useMinimalAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useMinimalAbbr1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useMinPackSearch() - Method in class edu.stanford.nlp.optimization.QNMinimizer
useMoreAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useMoreGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useMoreTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useMsr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useMSRChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useMUCFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegASBCDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegASBCDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegASBCDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegCTBDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegCTBDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegCTBDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegHKDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegHKDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegHKDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegPKDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegPKDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNegPKDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNERPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNext - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNextRealWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNextSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNextVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNPGovernor - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNPHead - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useNumberFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useObservedFeaturesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useObservedSequencesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useOccurrencePatterns - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useOnlySeenWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useOrdinal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useOutDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useParenMatching - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePKChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePKPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePKSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePos - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePosition - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePPVBPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePre - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePrediction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePrediction2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePrev - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePrevNextLemmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePrevSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePrevVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
usePTBTokenizer() - Method in class edu.stanford.nlp.process.DocumentPreprocessor
useQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useQuartic - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useRad1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useRad2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useRad2b - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useRadical - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useReverse - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useReverseAffix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useRobustQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useRule - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useRule2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
useScaledSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSeenFeaturesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSegmentation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSemPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSGDtoQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useShapeConjunctions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useShapeStrings - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useShapeStrings1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useShapeStrings3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useShapeStrings4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useShapeStrings5 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSMD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useStochasticQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSuf - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSum - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSVO - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSymTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSymWordPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
  useSymWordPairs Has a small negative effect.
useTaggySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTaggySequencesShapeInteraction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTagsCpC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTagsCpCp2C - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTagsCpCp2Cp3C - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTagsCpCp2Cp3Cp4C - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTemporalNN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTitle - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTOK - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTypeSeqs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTypeSeqs2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTypeSeqs3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useTypeySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useUnicodeBlock - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useUnicodeType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useUnicodeType4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useUnicodeType5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useUniformPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
  If true and doGibbs also true, will do generic Gibbs inference without any priors
useUnknown - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useURLSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWEB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWEBFreqDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWhitespaceTokenizer() - Method in class edu.stanford.nlp.process.DocumentPreprocessor
  Use tokenizers which tokenize on whitespace.
useWideDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWord1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWord2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWord3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWord4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWordLabelCounts - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWordn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWordPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWordShapeConjunctions2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWordShapeConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWordShapeGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWordTag - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWordUTypeConjunctions2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useWordUTypeConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useYetMoreCpCShapes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
uStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.maxent.Convert
uStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
uStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert

## V

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() - 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
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.
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.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) - 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.optimization.StochasticCalculateMethods
  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 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.
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.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 - Variable in class edu.stanford.nlp.maxent.Experiments
  The value of classification y for x.
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.optimization.StochasticCalculateMethods
  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.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() - Method in class edu.stanford.nlp.util.CollectionValuedMap
  Unsupported.
values() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
valuesI - Variable in class edu.stanford.nlp.maxent.Feature
  These are the non-zero values we want to keep for the points in indexedValues.
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
VARNAME - Static variable in interface edu.stanford.nlp.trees.tregex.TregexParserConstants
  RegularExpression Id.
vArray - Variable in class edu.stanford.nlp.maxent.Experiments
  vArray has dimensions [numTraining][2] and holds the x and y for each training sample.
verboseForTrueCasing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
verboseMode - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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

## W

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.
weightRanks - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
WhitespaceTokenizer - Class in edu.stanford.nlp.process
  A WhitespaceTokenizer is a tokenizer that splits on and discards only whitespace characters.
WhitespaceTokenizer(Reader) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer
  Constructs a new WhitespaceTokenizer
WhitespaceTokenizer(Reader, boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer
  Constructs a new WhitespaceTokenizer
WhitespaceTokenizer.WhitespaceTokenizerFactory - Class in edu.stanford.nlp.process
  A factory which vends WhitespaceTokenizers.
WhitespaceTokenizer.WhitespaceTokenizerFactory() - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
WhitespaceTokenizer.WhitespaceTokenizerFactory(boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
wideDisjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
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.
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
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.
wordShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
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
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.
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
wordShapeGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
WORDSHAPEJENNY1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
WORDSHAPEJENNY1USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
WordStemmer - Class in edu.stanford.nlp.trees
  Stems the Words in a Tree using Morphology.
WordStemmer() - Constructor for class edu.stanford.nlp.trees.WordStemmer
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.
WordToSentenceProcessor(Set<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 (based on English and Penn Treebank encoding).
WordToSentenceProcessor(Set<String>, Set<String>) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
  Flexibly set the set of acceptable sentence boundary tokens and also the set of tokens commonly following sentence boundaries, and the set of discarded separator tokens.
WordToSentenceProcessor(Set<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.
WordToSentenceProcessor(Pattern, Pattern) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
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.
writeAStringToByteArr(byte[], int, String) - Static method in class edu.stanford.nlp.maxent.Convert
writeAStringToByteArr(byte[], int, String, int, int) - Static method in class edu.stanford.nlp.maxent.Convert
writeBooleanToByteArr(byte[], int, boolean) - Static method in class edu.stanford.nlp.maxent.Convert
writeCharToByteArr(byte[], int, char) - Static method in class edu.stanford.nlp.maxent.Convert
writeDoubleToByteArr(byte[], int, double) - Static method in class edu.stanford.nlp.maxent.Convert
writeFloatToByteArr(byte[], int, float) - Static method in class edu.stanford.nlp.maxent.Convert
writeIntToByteArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
writeLongToByteArr(byte[], int, long) - Static method in class edu.stanford.nlp.maxent.Convert
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.
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.
writeShortToByteArr(byte[], int, short) - Static method in class edu.stanford.nlp.maxent.Convert
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.
writeTagsAndErrors(String[], PrintFile, Dictionary) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
  Write the tagging and note any errors (if pf != null) and accumulate global statistics.
writeUStringToByteArr(byte[], int, String) - Static method in class edu.stanford.nlp.maxent.Convert
writeUStringToByteArr(byte[], int, String, int, int) - Static method in class edu.stanford.nlp.maxent.Convert

## X

XCLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
  An open clausal complement (\emph{xcomp}) of a VP or an ADJP is a clausal complement without its own subject, whose reference is determined by an external subject.
XMLBeginEndIterator<E> - Class in edu.stanford.nlp.objectbank
  A class which iterates over Strings occuring 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, Function<String, E>, 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 XML tag.
xSize - Static variable in class edu.stanford.nlp.maxent.Experiments

## Y

yield(List<T>) - Method in class edu.stanford.nlp.movetrees.EmptyTreeLeaf
  A `EmptyTreeLeaf` is invisible in the yield
yield() - Method in class edu.stanford.nlp.trees.Tree
  Gets the yield of the tree.
yield(Sentence<X>) - 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.
ySize - Static variable in class edu.stanford.nlp.maxent.Experiments

## 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.
zlambda - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
  Normalization factors, one for each x.

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