opennlp.tools.util.featuregen

Class BrownTokenFeatureGenerator

java.lang.Object

opennlp.tools.util.featuregen.FeatureGeneratorAdapter

opennlp.tools.util.featuregen.BrownTokenFeatureGenerator

All Implemented Interfaces:

AdaptiveFeatureGenerator

public class BrownTokenFeatureGenerator
extends FeatureGeneratorAdapter

Generates Brown cluster features for current token.

Constructor Summary

Constructors

Constructor and Description
BrownTokenFeatureGenerator(BrownCluster dict)

Method Summary

Modifier and Type	Method and Description
void	createFeatures(java.util.List<java.lang.String> features, java.lang.String[] tokens, int index, java.lang.String[] previousOutcomes) Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.

Methods inherited from class opennlp.tools.util.featuregen.FeatureGeneratorAdapter

clearAdaptiveData, updateAdaptiveData

Methods inherited from class java.lang.Object

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

Constructor Detail

BrownTokenFeatureGenerator

public BrownTokenFeatureGenerator(BrownCluster dict)

Method Detail

createFeatures

public void createFeatures(java.util.List<java.lang.String> features,
                           java.lang.String[] tokens,
                           int index,
                           java.lang.String[] previousOutcomes)

Description copied from interface: AdaptiveFeatureGenerator

Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.

Parameters:

features - The list of features to be added to.

tokens - The tokens of the sentence or other text unit being processed.

index - The index of the token which is currently being processed.

previousOutcomes - The outcomes for the tokens prior to the specified index.