Package org.apache.lucene.analysis.de
Class GermanStemmer
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- org.apache.lucene.analysis.de.GermanStemmer
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public class GermanStemmer extends java.lang.ObjectA stemmer for German words.The algorithm is based on the report "A Fast and Simple Stemming Algorithm for German Words" by Jörg Caumanns (joerg.caumanns at isst.fhg.de).
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Field Summary
Fields Modifier and Type Field Description private static java.util.Localelocaleprivate java.lang.StringBuildersbBuffer for the terms while stemming them.private intsubstCountAmount of characters that are removed with substitute() while stemming.
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Constructor Summary
Constructors Constructor Description GermanStemmer()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description private booleanisStemmable(java.lang.String term)Checks if a term could be stemmed.private voidoptimize(java.lang.StringBuilder buffer)Does some optimizations on the term.private voidremoveParticleDenotion(java.lang.StringBuilder buffer)Removes a particle denotion ("ge") from a term.private voidresubstitute(java.lang.StringBuilder buffer)Undoes the changes made by substitute().protected java.lang.Stringstem(java.lang.String term)Stemms the given term to an unique discriminator.private voidstrip(java.lang.StringBuilder buffer)suffix stripping (stemming) on the current term.private voidsubstitute(java.lang.StringBuilder buffer)Do some substitutions for the term to reduce overstemming: - Substitute Umlauts with their corresponding vowel:äöü -> aou, "ß" is substituted by "ss" - Substitute a second char of a pair of equal characters with an asterisk:?? -> ?*- Substitute some common character combinations with a token:sch/ch/ei/ie/ig/st -> $/§/%/&/#/!
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Method Detail
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stem
protected java.lang.String stem(java.lang.String term)
Stemms the given term to an unique discriminator.- Parameters:
term- The term that should be stemmed.- Returns:
- Discriminator for term
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isStemmable
private boolean isStemmable(java.lang.String term)
Checks if a term could be stemmed.- Returns:
- true if, and only if, the given term consists in letters.
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strip
private void strip(java.lang.StringBuilder buffer)
suffix stripping (stemming) on the current term. The stripping is reduced to the seven "base" suffixes "e", "s", "n", "t", "em", "er" and * "nd", from which all regular suffixes are build of. The simplification causes some overstemming, and way more irregular stems, but still provides unique. discriminators in the most of those cases. The algorithm is context free, except of the length restrictions.
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optimize
private void optimize(java.lang.StringBuilder buffer)
Does some optimizations on the term. This optimisations are contextual.
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removeParticleDenotion
private void removeParticleDenotion(java.lang.StringBuilder buffer)
Removes a particle denotion ("ge") from a term.
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substitute
private void substitute(java.lang.StringBuilder buffer)
Do some substitutions for the term to reduce overstemming: - Substitute Umlauts with their corresponding vowel:äöü -> aou, "ß" is substituted by "ss" - Substitute a second char of a pair of equal characters with an asterisk:?? -> ?*- Substitute some common character combinations with a token:sch/ch/ei/ie/ig/st -> $/§/%/&/#/!
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resubstitute
private void resubstitute(java.lang.StringBuilder buffer)
Undoes the changes made by substitute(). That are character pairs and character combinations. Umlauts will remain as their corresponding vowel, as "ß" remains as "ss".
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