All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.apache.lucene.analysis.nl.DutchAnalyzer Maven / Gradle / Ivy

There is a newer version: 2024.11.18751.20241128T090041Z-241100
Show newest version
package org.apache.lucene.analysis.nl;

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.core.LowerCaseFilter;
import org.apache.lucene.analysis.core.StopFilter;
import org.apache.lucene.analysis.miscellaneous.SetKeywordMarkerFilter;
import org.apache.lucene.analysis.miscellaneous.StemmerOverrideFilter.StemmerOverrideMap;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.miscellaneous.StemmerOverrideFilter;
import org.apache.lucene.analysis.snowball.SnowballFilter;
import org.apache.lucene.analysis.standard.StandardFilter;
import org.apache.lucene.analysis.standard.StandardTokenizer;
import org.apache.lucene.analysis.standard.StandardAnalyzer;  // for javadoc
import org.apache.lucene.analysis.util.CharArrayMap;
import org.apache.lucene.analysis.util.CharArraySet;
import org.apache.lucene.analysis.util.CharacterUtils;
import org.apache.lucene.analysis.util.WordlistLoader;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.CharsRef;
import org.apache.lucene.util.IOUtils;
import org.apache.lucene.util.Version;
import org.apache.lucene.util.fst.FST;

import java.io.IOException;
import java.io.Reader;

/**
 * {@link Analyzer} for Dutch language. 
 * 

* Supports an external list of stopwords (words that * will not be indexed at all), an external list of exclusions (word that will * not be stemmed, but indexed) and an external list of word-stem pairs that overrule * the algorithm (dictionary stemming). * A default set of stopwords is used unless an alternative list is specified, but the * exclusion list is empty by default. *

* * *

You must specify the required {@link Version} * compatibility when creating DutchAnalyzer: *

    *
  • As of 3.6, {@link #DutchAnalyzer(Version, CharArraySet)} and * {@link #DutchAnalyzer(Version, CharArraySet, CharArraySet)} also populate * the default entries for the stem override dictionary *
  • As of 3.1, Snowball stemming is done with SnowballFilter, * LowerCaseFilter is used prior to StopFilter, and Snowball * stopwords are used by default. *
  • As of 2.9, StopFilter preserves position * increments *
* *

NOTE: This class uses the same {@link Version} * dependent settings as {@link StandardAnalyzer}.

*/ public final class DutchAnalyzer extends Analyzer { /** File containing default Dutch stopwords. */ public final static String DEFAULT_STOPWORD_FILE = "dutch_stop.txt"; /** * Returns an unmodifiable instance of the default stop-words set. * @return an unmodifiable instance of the default stop-words set. */ public static CharArraySet getDefaultStopSet(){ return DefaultSetHolder.DEFAULT_STOP_SET; } private static class DefaultSetHolder { static final CharArraySet DEFAULT_STOP_SET; static final CharArrayMap DEFAULT_STEM_DICT; static { try { DEFAULT_STOP_SET = WordlistLoader.getSnowballWordSet(IOUtils.getDecodingReader(SnowballFilter.class, DEFAULT_STOPWORD_FILE, IOUtils.CHARSET_UTF_8), Version.LUCENE_CURRENT); } catch (IOException ex) { // default set should always be present as it is part of the // distribution (JAR) throw new RuntimeException("Unable to load default stopword set"); } DEFAULT_STEM_DICT = new CharArrayMap(Version.LUCENE_CURRENT, 4, false); DEFAULT_STEM_DICT.put("fiets", "fiets"); //otherwise fiet DEFAULT_STEM_DICT.put("bromfiets", "bromfiets"); //otherwise bromfiet DEFAULT_STEM_DICT.put("ei", "eier"); DEFAULT_STEM_DICT.put("kind", "kinder"); } } /** * Contains the stopwords used with the StopFilter. */ private final CharArraySet stoptable; /** * Contains words that should be indexed but not stemmed. */ private CharArraySet excltable = CharArraySet.EMPTY_SET; private final StemmerOverrideMap stemdict; // null if on 3.1 or later - only for bw compat private final CharArrayMap origStemdict; private final Version matchVersion; /** * Builds an analyzer with the default stop words ({@link #getDefaultStopSet()}) * and a few default entries for the stem exclusion table. * */ public DutchAnalyzer(Version matchVersion) { // historically, only this ctor populated the stem dict!!!!! this(matchVersion, DefaultSetHolder.DEFAULT_STOP_SET, CharArraySet.EMPTY_SET, DefaultSetHolder.DEFAULT_STEM_DICT); } public DutchAnalyzer(Version matchVersion, CharArraySet stopwords){ // historically, this ctor never the stem dict!!!!! // so we populate it only for >= 3.6 this(matchVersion, stopwords, CharArraySet.EMPTY_SET, matchVersion.onOrAfter(Version.LUCENE_36) ? DefaultSetHolder.DEFAULT_STEM_DICT : CharArrayMap.emptyMap()); } public DutchAnalyzer(Version matchVersion, CharArraySet stopwords, CharArraySet stemExclusionTable){ // historically, this ctor never the stem dict!!!!! // so we populate it only for >= 3.6 this(matchVersion, stopwords, stemExclusionTable, matchVersion.onOrAfter(Version.LUCENE_36) ? DefaultSetHolder.DEFAULT_STEM_DICT : CharArrayMap.emptyMap()); } public DutchAnalyzer(Version matchVersion, CharArraySet stopwords, CharArraySet stemExclusionTable, CharArrayMap stemOverrideDict) { this.matchVersion = matchVersion; this.stoptable = CharArraySet.unmodifiableSet(CharArraySet.copy(matchVersion, stopwords)); this.excltable = CharArraySet.unmodifiableSet(CharArraySet.copy(matchVersion, stemExclusionTable)); if (stemOverrideDict.isEmpty() || !matchVersion.onOrAfter(Version.LUCENE_31)) { this.stemdict = null; this.origStemdict = CharArrayMap.unmodifiableMap(CharArrayMap.copy(matchVersion, stemOverrideDict)); } else { this.origStemdict = null; // we don't need to ignore case here since we lowercase in this analyzer anyway StemmerOverrideFilter.Builder builder = new StemmerOverrideFilter.Builder(false); CharArrayMap.EntryIterator iter = stemOverrideDict.entrySet().iterator(); CharsRef spare = new CharsRef(); while (iter.hasNext()) { char[] nextKey = iter.nextKey(); spare.copyChars(nextKey, 0, nextKey.length); builder.add(spare, iter.currentValue()); } try { this.stemdict = builder.build(); } catch (IOException ex) { throw new RuntimeException("can not build stem dict", ex); } } } /** * Returns a (possibly reused) {@link TokenStream} which tokenizes all the * text in the provided {@link Reader}. * * @return A {@link TokenStream} built from a {@link StandardTokenizer} * filtered with {@link StandardFilter}, {@link LowerCaseFilter}, * {@link StopFilter}, {@link SetKeywordMarkerFilter} if a stem exclusion set is provided, * {@link StemmerOverrideFilter}, and {@link SnowballFilter} */ @Override protected TokenStreamComponents createComponents(String fieldName, Reader aReader) { if (matchVersion.onOrAfter(Version.LUCENE_31)) { final Tokenizer source = new StandardTokenizer(matchVersion, aReader); TokenStream result = new StandardFilter(matchVersion, source); result = new LowerCaseFilter(matchVersion, result); result = new StopFilter(matchVersion, result, stoptable); if (!excltable.isEmpty()) result = new SetKeywordMarkerFilter(result, excltable); if (stemdict != null) result = new StemmerOverrideFilter(result, stemdict); result = new SnowballFilter(result, new org.tartarus.snowball.ext.DutchStemmer()); return new TokenStreamComponents(source, result); } else { final Tokenizer source = new StandardTokenizer(matchVersion, aReader); TokenStream result = new StandardFilter(matchVersion, source); result = new StopFilter(matchVersion, result, stoptable); if (!excltable.isEmpty()) result = new SetKeywordMarkerFilter(result, excltable); result = new DutchStemFilter(result, origStemdict); return new TokenStreamComponents(source, result); } } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy