Package opennlp.tools.util.featuregen

Class BrownBigramFeatureGenerator

java.lang.Object

opennlp.tools.util.featuregen.BrownBigramFeatureGenerator

All Implemented Interfaces:

AdaptiveFeatureGenerator

public class BrownBigramFeatureGenerator
extends Object
implements AdaptiveFeatureGenerator

Generates Brown cluster features for token bigrams.

See Also:

• AdaptiveFeatureGenerator
• BrownCluster

Constructor Summary

Constructors

Constructor	Description
BrownBigramFeatureGenerator(BrownCluster brownCluster)	Initializes a BrownBigramFeatureGenerator generator via a specified BrownCluster.

Method Summary

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

Methods inherited from class java.lang.Object

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

Methods inherited from interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator

clearAdaptiveData, updateAdaptiveData

Constructor Details

BrownBigramFeatureGenerator

public BrownBigramFeatureGenerator(BrownCluster brownCluster)

Initializes a BrownBigramFeatureGenerator generator via a specified BrownCluster.

Parameters:

brownCluster - The token dictionary to use.

Method Details

createFeatures

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

Description copied from interface: AdaptiveFeatureGenerator

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

Specified by:

createFeatures in interface AdaptiveFeatureGenerator

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.