opennlp.tools.util.featuregen

Class CharacterNgramFeatureGenerator

java.lang.Object

opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator

All Implemented Interfaces:

AdaptiveFeatureGenerator

public class CharacterNgramFeatureGenerator
extends Object
implements AdaptiveFeatureGenerator

The CharacterNgramFeatureGenerator uses character ngrams to generate features about each token. The minimum and maximum length can be specified.

Constructor Summary

Constructors

Constructor and Description
CharacterNgramFeatureGenerator() Initializes the current instance with min 2 length and max 5 length of ngrams.
CharacterNgramFeatureGenerator(int minLength, int maxLength)

Method Summary

Modifier and Type	Method and Description
void	createFeatures(List<String> features, String[] tokens, int index, String[] preds) 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 java.lang.Object

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

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

clearAdaptiveData, updateAdaptiveData

Constructor Detail

CharacterNgramFeatureGenerator

public CharacterNgramFeatureGenerator(int minLength,
                                      int maxLength)

CharacterNgramFeatureGenerator

public CharacterNgramFeatureGenerator()

Initializes the current instance with min 2 length and max 5 length of ngrams.

Method Detail

createFeatures

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

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.

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.

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