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package com.yahoo.language.lucene;
import com.google.inject.Inject;
import com.yahoo.component.provider.ComponentRegistry;
import com.yahoo.language.Linguistics;
import com.yahoo.language.process.*;
import com.yahoo.language.simple.SimpleLinguistics;
import org.apache.lucene.analysis.Analyzer;
import java.util.ArrayList;
import java.util.logging.Logger;
/**
* Factory of Lucene based linguistics processor.
* As described in the Linguistics docstring
* > the tokenizer should typically stem, transform and normalize
* The Stemmer, Transformer, Normalizer, and Segmenter implementations are mostly NOOP.
*
* TODO: docs for all available analysis components.
* TODO: some registry for available language Analyzers.
*/
public class LuceneLinguistics extends SimpleLinguistics {
private static final Logger log = Logger.getLogger(LuceneLinguistics.class.getName());
private final Normalizer normalizer;
private final Transformer transformer;
private final Tokenizer tokenizer;
private final Stemmer stemmer;
private final Segmenter segmenter;
private final LuceneAnalysisConfig config;
@Inject
public LuceneLinguistics(LuceneAnalysisConfig config, ComponentRegistry<Analyzer> analyzers) {
log.info("Creating LuceneLinguistics with: " + config);
this.config = config;
this.tokenizer = new LuceneTokenizer(config, analyzers);
// NOOP stemmer
this.stemmer = (word, stemMode, language) -> {
ArrayList<StemList> stemLists = new ArrayList<>();
StemList stems = new StemList();
stems.add(word);
stemLists.add(stems);
return stemLists;
};
// Segmenter that just wraps a tokenizer
this.segmenter = (string, language) -> {
ArrayList<String> segments = new ArrayList<>();
Iterable<Token> tokens = tokenizer.tokenize(string, language, StemMode.NONE, false);
tokens.forEach(token -> segments.add(token.getTokenString()));
return segments;
};
// NOOP normalizer
this.normalizer = (string) -> string;
// NOOP transformer
this.transformer = (string, language) -> string;
}
@Override
public Stemmer getStemmer() { return stemmer; }
@Override
public Tokenizer getTokenizer() { return tokenizer; }
@Override
public Normalizer getNormalizer() { return normalizer; }
@Override
public Transformer getTransformer() { return transformer; }
@Override
public Segmenter getSegmenter() { return segmenter; }
public LuceneAnalysisConfig getConfig() {
return config;
}
@Override
public boolean equals(Linguistics other) {
return (other instanceof LuceneLinguistics)
// Config actually determines if Linguistics are equal
&& config.equals(((LuceneLinguistics) other).getConfig()); }
}
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