Package opennlp.tools.lemmatizer
Class DefaultLemmatizerContextGenerator
java.lang.Object
opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
- All Implemented Interfaces:
- LemmatizerContextGenerator,- BeamSearchContextGenerator<String>
Simple feature generator for learning statistical lemmatizers.
 
Features based on Grzegorz ChrupaĆa. 2008. Towards a Machine-Learning Architecture for Lexical Functional Grammar Parsing. PhD dissertation, Dublin City University
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Constructor SummaryConstructors
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Method SummaryModifier and TypeMethodDescriptionString[]getContext(int index, String[] sequence, String[] priorDecisions, Object[] additionalContext) Returns the context for the specified position in the specifiedsequence(list).String[]getContext(int index, String[] toks, String[] tags, String[] preds) Returns the contexts for lemmatizing of the specified index.
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Constructor Details- 
DefaultLemmatizerContextGeneratorpublic DefaultLemmatizerContextGenerator()
 
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Method Details- 
getContextpublic String[] getContext(int index, String[] sequence, String[] priorDecisions, Object[] additionalContext) Description copied from interface:BeamSearchContextGeneratorReturns the context for the specified position in the specifiedsequence(list).- Specified by:
- getContextin interface- BeamSearchContextGenerator<String>
- Parameters:
- index- The index of the- sequence.
- sequence- The sequence of- itemsover which the beam search is performed.
- priorDecisions- The sequence of decisions made prior to the context for which this decision is being made.
- additionalContext- Any additional context specific to a class implementing this interface.
- Returns:
- The context for the specified indexin the specifiedsequence.
 
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getContextDescription copied from interface:LemmatizerContextGeneratorReturns the contexts for lemmatizing of the specified index.- Specified by:
- getContextin interface- LemmatizerContextGenerator
- Parameters:
- index- The index of the token in the specified- toksarray for which the context should be constructed.
- toks- The tokens of the sentence. The- toString()methods of these objects should return the token text.
- tags- The POS tags for the specified- toks.
- preds- The previous decisions made in the tagging of this sequence. Only indices less than- iwill be examined.
- Returns:
- An array of predictive contexts on which a model basis its decisions.
 
 
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