opennlp.tools.util.featuregen
Class DictionaryFeatureGenerator

java.lang.Object
  opennlp.tools.util.featuregen.FeatureGeneratorAdapter
      opennlp.tools.util.featuregen.DictionaryFeatureGenerator

All Implemented Interfaces:

AdaptiveFeatureGenerator

public class DictionaryFeatureGenerator
extends FeatureGeneratorAdapter

The DictionaryFeatureGenerator uses the DictionaryNameFinder to generated features for detected names based on the InSpanGenerator.

See Also:

Dictionary, DictionaryNameFinder, InSpanGenerator

Constructor Summary

DictionaryFeatureGenerator(Dictionary dict)

DictionaryFeatureGenerator(String prefix, Dictionary dict)

Method Summary

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 previous outcomes to the specified list of features.
void	setDictionary(Dictionary dict)
void	setDictionary(String name, Dictionary dict)

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

DictionaryFeatureGenerator

public DictionaryFeatureGenerator(Dictionary dict)

DictionaryFeatureGenerator

public DictionaryFeatureGenerator(String prefix,
                                  Dictionary dict)

Method Detail

setDictionary

public void setDictionary(Dictionary dict)

setDictionary

public void setDictionary(String name,
                          Dictionary dict)

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 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.