edu.stanford.nlp.parser.lexparser

Class AbstractUnknownWordModelTrainer

java.lang.Object

edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer

All Implemented Interfaces:

UnknownWordModelTrainer

Direct Known Subclasses:

ArabicUnknownWordModelTrainer, BaseUnknownWordModelTrainer, ChineseUnknownWordModelTrainer, EnglishUnknownWordModelTrainer, FrenchUnknownWordModelTrainer, SpanishUnknownWordModelTrainer

public abstract class AbstractUnknownWordModelTrainer
extends Object
implements UnknownWordModelTrainer

Field Summary

Fields inherited from interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer

NULL_ITW, nullTag, nullWord, unknown

Constructor Summary

Constructors

Constructor and Description
AbstractUnknownWordModelTrainer()

Method Summary

Modifier and Type	Method and Description
void	incrementTreesRead(double weight)
void	initializeTraining(Options op, Lexicon lex, Index<String> wordIndex, Index<String> tagIndex, double totalTrees) Initialize the trainer with a few of the data structures it needs to train.
void	train(Collection<Tree> trees) Tallies statistics for this particular collection of trees.
void	train(Collection<Tree> trees, double weight) Tallies statistics for a weighted collection of trees.
void	train(Tree tree, double weight) Tallies statistics for a single tree.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer

finishTraining, train

Constructor Detail

AbstractUnknownWordModelTrainer

public AbstractUnknownWordModelTrainer()

Method Detail

initializeTraining

public void initializeTraining(Options op,
                               Lexicon lex,
                               Index<String> wordIndex,
                               Index<String> tagIndex,
                               double totalTrees)

Description copied from interface: UnknownWordModelTrainer

Initialize the trainer with a few of the data structures it needs to train. Also, it is necessary to estimate the number of trees that it will be given, as many of the UWMs switch training modes after seeing a fraction of the trees.
This is an initialization method and not part of the constructor because these Trainers are generally loaded by reflection, and making this a method instead of a constructor lets the compiler catch silly errors.

Specified by:

initializeTraining in interface UnknownWordModelTrainer

train

public final void train(Collection<Tree> trees)

Description copied from interface: UnknownWordModelTrainer

Tallies statistics for this particular collection of trees. Can be called multiple times.

Specified by:

train in interface UnknownWordModelTrainer

train

public final void train(Collection<Tree> trees,
                        double weight)

Description copied from interface: UnknownWordModelTrainer

Tallies statistics for a weighted collection of trees. Can be called multiple times.

Specified by:

train in interface UnknownWordModelTrainer

train

public final void train(Tree tree,
                        double weight)

Description copied from interface: UnknownWordModelTrainer

Tallies statistics for a single tree. Can be called multiple times.

Specified by:

train in interface UnknownWordModelTrainer

incrementTreesRead

public void incrementTreesRead(double weight)

Specified by:

incrementTreesRead in interface UnknownWordModelTrainer