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SOLR-3097, SOLR-3105: add fieldtypes for different languages to the example 

git-svn-id: https://svn.apache.org/repos/asf/lucene/dev/trunk@1241878 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Robert Muir 2012-02-08 12:07:52 +00:00
parent 3519049d94
commit dac1b58277
65 changed files with 7039 additions and 53 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
lucene/contrib/CHANGES.txt
View File

@ -170,6 +170,14 @@ Changes in runtime behavior
* LUCENE-3626: PKIndexSplitter and MultiPassIndexSplitter now work
per segment. (Uwe Schindler)
* SOLR-3105: When passed LUCENE_36 or greater as version, GermanAnalyzer,
SpanishAnalyzer, FrenchAnalyzer, ItalianAnalyzer, and PortugueseAnalyzer
use a lighter stemming approach, CatalanAnalyzer uses ElisionFilter
with a set of contractions, HindiAnalyzer uses StandardTokenizer, and
ThaiAnalyzer uses thai stopwords. Add GermanNormalizationFilter which applies
the Snowball German2 algorithm to ae/oe/ue and case-folds ß. Add
GalicianMinimalStemFilter for plural removal only. (Robert Muir)
Optimizations
* SOLR-2888: FSTSuggester refactoring: internal storage is now UTF-8,

19
modules/analysis/common/src/java/org/apache/lucene/analysis/ca/CatalanAnalyzer.java
View File

@ -19,11 +19,13 @@ package org.apache.lucene.analysis.ca;
import java.io.IOException;
import java.io.Reader;
import java.util.Arrays;
import java.util.Set;
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.fr.ElisionFilter;
import org.apache.lucene.analysis.miscellaneous.KeywordMarkerFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.Tokenizer;
@ -37,6 +39,14 @@ import org.tartarus.snowball.ext.CatalanStemmer;
/**
* {@link Analyzer} for Catalan.
* <p>
* <a name="version"/>
* <p>You must specify the required {@link Version}
* compatibility when creating CatalanAnalyzer:
* <ul>
* <li> As of 3.6, ElisionFilter with a set of Catalan
* contractions is used by default.
* </ul>
*/
public final class CatalanAnalyzer extends StopwordAnalyzerBase {
private final Set<?> stemExclusionSet;
@ -44,6 +54,12 @@ public final class CatalanAnalyzer extends StopwordAnalyzerBase {
/** File containing default Catalan stopwords. */
public final static String DEFAULT_STOPWORD_FILE = "stopwords.txt";
private static final CharArraySet DEFAULT_ARTICLES = CharArraySet.unmodifiableSet(
new CharArraySet(Version.LUCENE_CURRENT,
Arrays.asList(
"d", "l", "m", "n", "s", "t"
), true));
/**
* Returns an unmodifiable instance of the default stop words set.
* @return default stop words set.
@ -120,6 +136,9 @@ public final class CatalanAnalyzer extends StopwordAnalyzerBase {
Reader reader) {
final Tokenizer source = new StandardTokenizer(matchVersion, reader);
TokenStream result = new StandardFilter(matchVersion, source);
if (matchVersion.onOrAfter(Version.LUCENE_36)) {
result = new ElisionFilter(matchVersion, result, DEFAULT_ARTICLES);
}
result = new LowerCaseFilter(matchVersion, result);
result = new StopFilter(matchVersion, result, stopwords);
if(!stemExclusionSet.isEmpty())

11
modules/analysis/common/src/java/org/apache/lucene/analysis/de/GermanAnalyzer.java
View File

@ -54,6 +54,7 @@ import org.tartarus.snowball.ext.German2Stemmer;
* <p>You must specify the required {@link Version}
* compatibility when creating GermanAnalyzer:
* <ul>
* <li> As of 3.6, GermanLightStemFilter is used for less aggressive stemming.
* <li> As of 3.1, Snowball stemming is done with SnowballFilter, and
* Snowball stopwords are used by default.
* <li> As of 2.9, StopFilter preserves position
@ -166,7 +167,7 @@ public final class GermanAnalyzer extends StopwordAnalyzerBase {
* built from a {@link StandardTokenizer} filtered with
* {@link StandardFilter}, {@link LowerCaseFilter}, {@link StopFilter}
* , {@link KeywordMarkerFilter} if a stem exclusion set is
* provided, and {@link SnowballFilter}
* provided, {@link GermanNormalizationFilter} and {@link GermanLightStemFilter}
*/
@Override
protected TokenStreamComponents createComponents(String fieldName,
@ -176,10 +177,14 @@ public final class GermanAnalyzer extends StopwordAnalyzerBase {
result = new LowerCaseFilter(matchVersion, result);
result = new StopFilter( matchVersion, result, stopwords);
result = new KeywordMarkerFilter(result, exclusionSet);
if (matchVersion.onOrAfter(Version.LUCENE_31))
if (matchVersion.onOrAfter(Version.LUCENE_36)) {
result = new GermanNormalizationFilter(result);
result = new GermanLightStemFilter(result);
} else if (matchVersion.onOrAfter(Version.LUCENE_31)) {
result = new SnowballFilter(result, new German2Stemmer());
else
} else {
result = new GermanStemFilter(result);
}
return new TokenStreamComponents(source, result);
}
}

112
modules/analysis/common/src/java/org/apache/lucene/analysis/de/GermanNormalizationFilter.java Normal file
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@ -0,0 +1,112 @@
package org.apache.lucene.analysis.de;
/**
* 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 java.io.IOException;
import org.apache.lucene.analysis.TokenFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.util.StemmerUtil;
/**
* Normalizes German characters according to the heuristics
* of the <a href="http://snowball.tartarus.org/algorithms/german2/stemmer.html">
* German2 snowball algorithm</a>.
* It allows for the fact that ä, ö and ü are sometimes written as ae, oe and ue.
* <p>
* <ul>
* <li> 'ß' is replaced by 'ss'
* <li> 'ä', 'ö', 'ü' are replaced by 'a', 'o', 'u', respectively.
* <li> 'ae' and 'oe' are replaced by 'a', and 'o', respectively.
* <li> 'ue' is replaced by 'u', when not following a vowel or q.
* </ul>
* <p>
* This is useful if you want this normalization without using
* the German2 stemmer, or perhaps no stemming at all.
*/
public final class GermanNormalizationFilter extends TokenFilter {
// FSM with 3 states:
private static final int N = 0; /* ordinary state */
private static final int V = 1; /* stops 'u' from entering umlaut state */
private static final int U = 2; /* umlaut state, allows e-deletion */
private final CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
public GermanNormalizationFilter(TokenStream input) {
super(input);
}
@Override
public boolean incrementToken() throws IOException {
if (input.incrementToken()) {
int state = N;
char buffer[] = termAtt.buffer();
int length = termAtt.length();
for (int i = 0; i < length; i++) {
final char c = buffer[i];
switch(c) {
case 'a':
case 'o':
state = U;
break;
case 'u':
state = (state == N) ? U : V;
break;
case 'e':
if (state == U)
length = StemmerUtil.delete(buffer, i--, length);
state = V;
break;
case 'i':
case 'q':
case 'y':
state = V;
break;
case 'ä':
buffer[i] = 'a';
state = V;
break;
case 'ö':
buffer[i] = 'o';
state = V;
break;
case 'ü':
buffer[i] = 'u';
state = V;
break;
case 'ß':
buffer[i++] = 's';
buffer = termAtt.resizeBuffer(1+length);
if (i < length)
System.arraycopy(buffer, i, buffer, i+1, (length-i));
buffer[i] = 's';
length++;
state = N;
break;
default:
state = N;
}
}
termAtt.setLength(length);
return true;
} else {
return false;
}
}
}

13
modules/analysis/common/src/java/org/apache/lucene/analysis/es/SpanishAnalyzer.java
View File

@ -39,6 +39,13 @@ import org.tartarus.snowball.ext.SpanishStemmer;
/**
* {@link Analyzer} for Spanish.
* <p>
* <a name="version"/>
* <p>You must specify the required {@link Version}
* compatibility when creating SpanishAnalyzer:
* <ul>
* <li> As of 3.6, SpanishLightStemFilter is used for less aggressive stemming.
* </ul>
*/
public final class SpanishAnalyzer extends StopwordAnalyzerBase {
private final Set<?> stemExclusionSet;
@ -115,7 +122,7 @@ public final class SpanishAnalyzer extends StopwordAnalyzerBase {
* built from an {@link StandardTokenizer} filtered with
* {@link StandardFilter}, {@link LowerCaseFilter}, {@link StopFilter}
* , {@link KeywordMarkerFilter} if a stem exclusion set is
* provided and {@link SnowballFilter}.
* provided and {@link SpanishLightStemFilter}.
*/
@Override
protected TokenStreamComponents createComponents(String fieldName,
@ -126,7 +133,11 @@ public final class SpanishAnalyzer extends StopwordAnalyzerBase {
result = new StopFilter(matchVersion, result, stopwords);
if(!stemExclusionSet.isEmpty())
result = new KeywordMarkerFilter(result, stemExclusionSet);
if (matchVersion.onOrAfter(Version.LUCENE_36)) {
result = new SpanishLightStemFilter(result);
} else {
result = new SnowballFilter(result, new SpanishStemmer());
}
return new TokenStreamComponents(source, result);
}
}

7
modules/analysis/common/src/java/org/apache/lucene/analysis/fr/FrenchAnalyzer.java
View File

@ -52,6 +52,7 @@ import java.util.Set;
* <p>You must specify the required {@link Version}
* compatibility when creating FrenchAnalyzer:
* <ul>
* <li> As of 3.6, FrenchLightStemFilter is used for less aggressive stemming.
* <li> As of 3.1, Snowball stemming is done with SnowballFilter,
* LowerCaseFilter is used prior to StopFilter, and ElisionFilter and
* Snowball stopwords are used by default.
@ -177,7 +178,7 @@ public final class FrenchAnalyzer extends StopwordAnalyzerBase {
* {@link StandardFilter}, {@link ElisionFilter},
* {@link LowerCaseFilter}, {@link StopFilter},
* {@link KeywordMarkerFilter} if a stem exclusion set is
* provided, and {@link SnowballFilter}
* provided, and {@link FrenchLightStemFilter}
*/
@Override
protected TokenStreamComponents createComponents(String fieldName,
@ -190,7 +191,11 @@ public final class FrenchAnalyzer extends StopwordAnalyzerBase {
result = new StopFilter(matchVersion, result, stopwords);
if(!excltable.isEmpty())
result = new KeywordMarkerFilter(result, excltable);
if (matchVersion.onOrAfter(Version.LUCENE_36)) {
result = new FrenchLightStemFilter(result);
} else {
result = new SnowballFilter(result, new org.tartarus.snowball.ext.FrenchStemmer());
}
return new TokenStreamComponents(source, result);
} else {
final Tokenizer source = new StandardTokenizer(matchVersion, reader);

58
modules/analysis/common/src/java/org/apache/lucene/analysis/gl/GalicianMinimalStemFilter.java Normal file
View File

@ -0,0 +1,58 @@
package org.apache.lucene.analysis.gl;
/**
* 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 java.io.IOException;
import org.apache.lucene.analysis.TokenFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.miscellaneous.KeywordMarkerFilter;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.KeywordAttribute;
/**
* A {@link TokenFilter} that applies {@link GalicianMinimalStemmer} to stem
* Galician words.
* <p>
* To prevent terms from being stemmed use an instance of
* {@link KeywordMarkerFilter} or a custom {@link TokenFilter} that sets
* the {@link KeywordAttribute} before this {@link TokenStream}.
* </p>
*/
public final class GalicianMinimalStemFilter extends TokenFilter {
private final GalicianMinimalStemmer stemmer = new GalicianMinimalStemmer();
private final CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
private final KeywordAttribute keywordAttr = addAttribute(KeywordAttribute.class);
public GalicianMinimalStemFilter(TokenStream input) {
super(input);
}
@Override
public boolean incrementToken() throws IOException {
if (input.incrementToken()) {
if (!keywordAttr.isKeyword()) {
final int newlen = stemmer.stem(termAtt.buffer(), termAtt.length());
termAtt.setLength(newlen);
}
return true;
} else {
return false;
}
}
}

38
modules/analysis/common/src/java/org/apache/lucene/analysis/gl/GalicianMinimalStemmer.java Normal file
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@ -0,0 +1,38 @@
package org.apache.lucene.analysis.gl;
/**
* 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.pt.RSLPStemmerBase;
/**
* Minimal Stemmer for Galician
* <p>
* This follows the "RSLP-S" algorithm, but modified for Galician.
* Hence this stemmer only applies the plural reduction step of:
* "Regras do lematizador para o galego"
* @see RSLPStemmerBase
*/
public class GalicianMinimalStemmer extends RSLPStemmerBase {
private static final Step pluralStep =
parse(GalicianMinimalStemmer.class, "galician.rslp").get("Plural");
public int stem(char s[], int len) {
return pluralStep.apply(s, len);
}
}

17
modules/analysis/common/src/java/org/apache/lucene/analysis/hi/HindiAnalyzer.java
View File

@ -22,6 +22,7 @@ import java.io.Reader;
import java.util.Set;
import org.apache.lucene.analysis.miscellaneous.KeywordMarkerFilter;
import org.apache.lucene.analysis.standard.StandardTokenizer;
import org.apache.lucene.analysis.util.CharArraySet;
import org.apache.lucene.analysis.util.StopwordAnalyzerBase;
import org.apache.lucene.analysis.TokenStream;
@ -34,6 +35,13 @@ import org.apache.lucene.util.Version;
/**
* Analyzer for Hindi.
* <p>
* <a name="version"/>
* <p>You must specify the required {@link Version}
* compatibility when creating HindiAnalyzer:
* <ul>
* <li> As of 3.6, StandardTokenizer is used for tokenization
* </ul>
*/
public final class HindiAnalyzer extends StopwordAnalyzerBase {
private final Set<?> stemExclusionSet;
@ -110,7 +118,7 @@ public final class HindiAnalyzer extends StopwordAnalyzerBase {
* used to tokenize all the text in the provided {@link Reader}.
*
* @return {@link org.apache.lucene.analysis.Analyzer.TokenStreamComponents}
* built from a {@link IndicTokenizer} filtered with
* built from a {@link StandardTokenizer} filtered with
* {@link LowerCaseFilter}, {@link IndicNormalizationFilter},
* {@link HindiNormalizationFilter}, {@link KeywordMarkerFilter}
* if a stem exclusion set is provided, {@link HindiStemFilter}, and
@ -119,7 +127,12 @@ public final class HindiAnalyzer extends StopwordAnalyzerBase {
@Override
protected TokenStreamComponents createComponents(String fieldName,
Reader reader) {
final Tokenizer source = new IndicTokenizer(matchVersion, reader);
final Tokenizer source;
if (matchVersion.onOrAfter(Version.LUCENE_36)) {
source = new StandardTokenizer(matchVersion, reader);
} else {
source = new IndicTokenizer(matchVersion, reader);
}
TokenStream result = new LowerCaseFilter(matchVersion, source);
if (!stemExclusionSet.isEmpty())
result = new KeywordMarkerFilter(result, stemExclusionSet);

3
modules/analysis/common/src/java/org/apache/lucene/analysis/in/IndicTokenizer.java
View File

@ -20,12 +20,15 @@ package org.apache.lucene.analysis.in;
import java.io.Reader;
import org.apache.lucene.analysis.util.CharTokenizer;
import org.apache.lucene.analysis.standard.StandardTokenizer; // javadocs
import org.apache.lucene.util.AttributeSource;
import org.apache.lucene.util.Version;
/**
* Simple Tokenizer for text in Indian Languages.
* @deprecated (3.6) Use {@link StandardTokenizer} instead.
*/
@Deprecated
public final class IndicTokenizer extends CharTokenizer {
public IndicTokenizer(Version matchVersion, AttributeFactory factory, Reader input) {

7
modules/analysis/common/src/java/org/apache/lucene/analysis/it/ItalianAnalyzer.java
View File

@ -46,6 +46,7 @@ import org.tartarus.snowball.ext.ItalianStemmer;
* <p>You must specify the required {@link Version}
* compatibility when creating ItalianAnalyzer:
* <ul>
* <li> As of 3.6, ItalianLightStemFilter is used for less aggressive stemming.
* <li> As of 3.2, ElisionFilter with a set of Italian
* contractions is used by default.
* </ul>
@ -132,7 +133,7 @@ public final class ItalianAnalyzer extends StopwordAnalyzerBase {
* built from an {@link StandardTokenizer} filtered with
* {@link StandardFilter}, {@link ElisionFilter}, {@link LowerCaseFilter}, {@link StopFilter}
* , {@link KeywordMarkerFilter} if a stem exclusion set is
* provided and {@link SnowballFilter}.
* provided and {@link ItalianLightStemFilter}.
*/
@Override
protected TokenStreamComponents createComponents(String fieldName,
@ -146,7 +147,11 @@ public final class ItalianAnalyzer extends StopwordAnalyzerBase {
result = new StopFilter(matchVersion, result, stopwords);
if(!stemExclusionSet.isEmpty())
result = new KeywordMarkerFilter(result, stemExclusionSet);
if (matchVersion.onOrAfter(Version.LUCENE_36)) {
result = new ItalianLightStemFilter(result);
} else {
result = new SnowballFilter(result, new ItalianStemmer());
}
return new TokenStreamComponents(source, result);
}
}

13
modules/analysis/common/src/java/org/apache/lucene/analysis/pt/PortugueseAnalyzer.java
View File

@ -39,6 +39,13 @@ import org.tartarus.snowball.ext.PortugueseStemmer;
/**
* {@link Analyzer} for Portuguese.
* <p>
* <a name="version"/>
* <p>You must specify the required {@link Version}
* compatibility when creating PortugueseAnalyzer:
* <ul>
* <li> As of 3.6, PortugueseLightStemFilter is used for less aggressive stemming.
* </ul>
*/
public final class PortugueseAnalyzer extends StopwordAnalyzerBase {
private final Set<?> stemExclusionSet;
@ -115,7 +122,7 @@ public final class PortugueseAnalyzer extends StopwordAnalyzerBase {
* built from an {@link StandardTokenizer} filtered with
* {@link StandardFilter}, {@link LowerCaseFilter}, {@link StopFilter}
* , {@link KeywordMarkerFilter} if a stem exclusion set is
* provided and {@link SnowballFilter}.
* provided and {@link PortugueseLightStemFilter}.
*/
@Override
protected TokenStreamComponents createComponents(String fieldName,
@ -126,7 +133,11 @@ public final class PortugueseAnalyzer extends StopwordAnalyzerBase {
result = new StopFilter(matchVersion, result, stopwords);
if(!stemExclusionSet.isEmpty())
result = new KeywordMarkerFilter(result, stemExclusionSet);
if (matchVersion.onOrAfter(Version.LUCENE_36)) {
result = new PortugueseLightStemFilter(result);
} else {
result = new SnowballFilter(result, new PortugueseStemmer());
}
return new TokenStreamComponents(source, result);
}
}

2
modules/analysis/common/src/java/org/apache/lucene/analysis/pt/PortugueseMinimalStemmer.java
View File

@ -24,7 +24,7 @@ package org.apache.lucene.analysis.pt;
* <i>A study on the Use of Stemming for Monolingual Ad-Hoc Portuguese
* Information Retrieval</i> (Orengo, et al)
* which is just the plural reduction step of the RSLP
* algorithm from <i>A Stemming Algorithmm for the Portuguese Language</i>,
* algorithm from <i>A Stemming Algorithm for the Portuguese Language</i>,
* Orengo et al.
* @see RSLPStemmerBase
*/

71
modules/analysis/common/src/java/org/apache/lucene/analysis/th/ThaiAnalyzer.java
View File

@ -16,7 +16,9 @@ package org.apache.lucene.analysis.th;
* limitations under the License.
*/
import java.io.IOException;
import java.io.Reader;
import java.util.Set;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
@ -24,22 +26,75 @@ import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.core.LowerCaseFilter;
import org.apache.lucene.analysis.core.StopAnalyzer;
import org.apache.lucene.analysis.core.StopFilter;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.analysis.standard.StandardFilter;
import org.apache.lucene.analysis.standard.StandardTokenizer;
import org.apache.lucene.analysis.util.StopwordAnalyzerBase;
import org.apache.lucene.util.Version;
/**
* {@link Analyzer} for Thai language. It uses {@link java.text.BreakIterator} to break words.
*
* <p><b>NOTE</b>: This class uses the same {@link Version}
* dependent settings as {@link StandardAnalyzer}.</p>
* <p>
* <a name="version"/>
* <p>You must specify the required {@link Version}
* compatibility when creating ThaiAnalyzer:
* <ul>
* <li> As of 3.6, a set of Thai stopwords is used by default
* </ul>
*/
public final class ThaiAnalyzer extends Analyzer {
private final Version matchVersion;
public final class ThaiAnalyzer extends StopwordAnalyzerBase {
/** File containing default Thai stopwords. */
public final static String DEFAULT_STOPWORD_FILE = "stopwords.txt";
/**
* The comment character in the stopwords file.
* All lines prefixed with this will be ignored.
*/
private static final String STOPWORDS_COMMENT = "#";
/**
* Returns an unmodifiable instance of the default stop words set.
* @return default stop words set.
*/
public static Set<?> getDefaultStopSet(){
return DefaultSetHolder.DEFAULT_STOP_SET;
}
/**
* Atomically loads the DEFAULT_STOP_SET in a lazy fashion once the outer class
* accesses the static final set the first time.;
*/
private static class DefaultSetHolder {
static final Set<?> DEFAULT_STOP_SET;
static {
try {
DEFAULT_STOP_SET = loadStopwordSet(false, ThaiAnalyzer.class,
DEFAULT_STOPWORD_FILE, STOPWORDS_COMMENT);
} 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");
}
}
}
/**
* Builds an analyzer with the default stop words.
*
* @param matchVersion lucene compatibility version
*/
public ThaiAnalyzer(Version matchVersion) {
this.matchVersion = matchVersion;
this(matchVersion, matchVersion.onOrAfter(Version.LUCENE_36) ? DefaultSetHolder.DEFAULT_STOP_SET : StopAnalyzer.ENGLISH_STOP_WORDS_SET);
}
/**
* Builds an analyzer with the given stop words.
*
* @param matchVersion lucene compatibility version
* @param stopwords a stopword set
*/
public ThaiAnalyzer(Version matchVersion, Set<?> stopwords) {
super(matchVersion, stopwords);
}
/**
@ -61,6 +116,6 @@ public final class ThaiAnalyzer extends Analyzer {
result = new LowerCaseFilter(matchVersion, result);
result = new ThaiWordFilter(matchVersion, result);
return new TokenStreamComponents(source, new StopFilter(matchVersion,
result, StopAnalyzer.ENGLISH_STOP_WORDS_SET));
result, stopwords));
}
}

119
modules/analysis/common/src/resources/org/apache/lucene/analysis/th/stopwords.txt Normal file
View File

@ -0,0 +1,119 @@
# Thai stopwords from:
# "Opinion Detection in Thai Political News Columns
# Based on Subjectivity Analysis"
# Khampol Sukhum, Supot Nitsuwat, and Choochart Haruechaiyasak
ไว้
ไม่
ไป
ได้
ให้
ใน
โดย
แห่ง
แล้ว
และ
แรก
แบบ
แต่
เอง
เห็น
เลย
เริ่ม
เรา
เมื่อ
เพื่อ
เพราะ
เป็นการ
เป็น
เปิดเผย
เปิด
เนื่องจาก
เดียวกัน
เดียว
เช่น
เฉพาะ
เคย
เข้า
เขา
อีก
อาจ
อะไร
ออก
อย่าง
อยู่
อยาก
หาก
หลาย
หลังจาก
หลัง
หรือ
หนึ่ง
ส่วน
ส่ง
สุด
สําหรับ
ว่า
วัน
ลง
ร่วม
ราย
รับ
ระหว่าง
รวม
ยัง
มี
มาก
มา
พร้อม
พบ
ผ่าน
ผล
บาง
น่า
นี้
นํา
นั้น
นัก
นอกจาก
ทุก
ที่สุด
ที่
ทําให้
ทํา
ทาง
ทั้งนี้
ทั้ง
ถ้า
ถูก
ถึง
ต้อง
ต่างๆ
ต่าง
ต่อ
ตาม
ตั้งแต่
ตั้ง
ด้าน
ด้วย
ดัง
ซึ่ง
ช่วง
จึง
จาก
จัด
จะ
คือ
ความ
ครั้ง
คง
ขึ้น
ของ
ขอ
ขณะ
ก่อน
ก็
การ
กับ
กัน
กว่า
กล่าว

7
modules/analysis/common/src/test/org/apache/lucene/analysis/ca/TestCatalanAnalyzer.java
View File

@ -41,6 +41,13 @@ public class TestCatalanAnalyzer extends BaseTokenStreamTestCase {
assertAnalyzesTo(a, "un", new String[] { });
}
/** test use of elisionfilter */
public void testContractions() throws IOException {
Analyzer a = new CatalanAnalyzer(TEST_VERSION_CURRENT);
assertAnalyzesTo(a, "Diccionari de l'Institut d'Estudis Catalans",
new String[] { "diccion", "inst", "estud", "catalan" });
}
/** test use of exclusion set */
public void testExclude() throws IOException {
Set<String> exclusionSet = new HashSet<String>();

68
modules/analysis/common/src/test/org/apache/lucene/analysis/de/TestGermanNormalizationFilter.java Normal file
View File

@ -0,0 +1,68 @@
package org.apache.lucene.analysis.de;
/**
* 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 java.io.IOException;
import java.io.Reader;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
import org.apache.lucene.analysis.MockTokenizer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.Tokenizer;
/**
* Tests {@link GermanNormalizationFilter}
*/
public class TestGermanNormalizationFilter extends BaseTokenStreamTestCase {
private Analyzer analyzer = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String field, Reader reader) {
final Tokenizer tokenizer = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
final TokenStream stream = new GermanNormalizationFilter(tokenizer);
return new TokenStreamComponents(tokenizer, stream);
}
};
/**
* Tests that a/o/u + e is equivalent to the umlaut form
*/
public void testBasicExamples() throws IOException {
checkOneTerm(analyzer, "Schaltflächen", "Schaltflachen");
checkOneTerm(analyzer, "Schaltflaechen", "Schaltflachen");
}
/**
* Tests the specific heuristic that ue is not folded after a vowel or q.
*/
public void testUHeuristic() throws IOException {
checkOneTerm(analyzer, "dauer", "dauer");
}
/**
* Tests german specific folding of sharp-s
*/
public void testSpecialFolding() throws IOException {
checkOneTerm(analyzer, "weißbier", "weissbier");
}
/** blast some random strings through the analyzer */
public void testRandomStrings() throws Exception {
checkRandomData(random, analyzer, 10000*RANDOM_MULTIPLIER);
}
}

24
modules/analysis/common/src/test/org/apache/lucene/analysis/fr/TestFrenchAnalyzer.java
View File

@ -56,7 +56,7 @@ public class TestFrenchAnalyzer extends BaseTokenStreamTestCase {
assertAnalyzesTo(
fa,
"mot \"entreguillemet\"",
new String[] { "mot", "entreguillemet" });
new String[] { "mot", "entreguilemet" });
// let's do some french specific tests now
@ -66,7 +66,7 @@ public class TestFrenchAnalyzer extends BaseTokenStreamTestCase {
assertAnalyzesTo(
fa,
"Jean-François",
new String[] { "jean", "françois" });
new String[] { "jean", "francoi" });
// 2. stopwords
assertAnalyzesTo(
@ -81,16 +81,16 @@ public class TestFrenchAnalyzer extends BaseTokenStreamTestCase {
new String[] {
"lanc",
"chism",
"habit",
"habitabl",
"chist",
"élément",
"element",
"captif" });
// some verbs
assertAnalyzesTo(
fa,
"finissions souffrirent rugissante",
new String[] { "fin", "souffr", "rug" });
new String[] { "finision", "soufrirent", "rugisant" });
// some everything else
// aujourd'hui stays one term which is OK
@ -101,16 +101,16 @@ public class TestFrenchAnalyzer extends BaseTokenStreamTestCase {
"c3po",
"aujourd'hui",
"oeuf",
"ïâöûàä",
"anticonstitutionnel",
"jav" });
"ïaöuaä",
"anticonstitutionel",
"java" });
// some more everything else
// here 1940-1945 stays as one term, 1940:1945 not ?
assertAnalyzesTo(
fa,
"33Bis 1940-1945 1940:1945 (---i+++)*",
new String[] { "33bis", "1940", "1945", "1940", "1945", "i" });
new String[] { "33bi", "1940", "1945", "1940", "1945", "i" });
}
@ -217,9 +217,9 @@ public class TestFrenchAnalyzer extends BaseTokenStreamTestCase {
new String[] {
"lanc",
"chism",
"habit",
"habitabl",
"chist",
"élément",
"element",
"captif" });
}
@ -238,7 +238,7 @@ public class TestFrenchAnalyzer extends BaseTokenStreamTestCase {
public void testElision() throws Exception {
FrenchAnalyzer fa = new FrenchAnalyzer(TEST_VERSION_CURRENT);
assertAnalyzesTo(fa, "voir l'embrouille", new String[] { "voir", "embrouill" });
assertAnalyzesTo(fa, "voir l'embrouille", new String[] { "voir", "embrouil" });
}
/**

55
modules/analysis/common/src/test/org/apache/lucene/analysis/gl/TestGalicianMinimalStemFilter.java Normal file
View File

@ -0,0 +1,55 @@
package org.apache.lucene.analysis.gl;
/**
* 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 java.io.Reader;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
import org.apache.lucene.analysis.MockTokenizer;
import org.apache.lucene.analysis.Tokenizer;
/**
* Simple tests for {@link GalicianMinimalStemmer}
*/
public class TestGalicianMinimalStemFilter extends BaseTokenStreamTestCase {
Analyzer a = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
Tokenizer tokenizer = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
return new TokenStreamComponents(tokenizer, new GalicianMinimalStemFilter(tokenizer));
}
};
public void testPlural() throws Exception {
checkOneTerm(a, "elefantes", "elefante");
checkOneTerm(a, "elefante", "elefante");
checkOneTerm(a, "kalóres", "kalór");
checkOneTerm(a, "kalór", "kalór");
}
public void testExceptions() throws Exception {
checkOneTerm(a, "mas", "mas");
checkOneTerm(a, "barcelonês", "barcelonês");
}
/** blast some random strings through the analyzer */
public void testRandomStrings() throws Exception {
checkRandomData(random, a, 10000*RANDOM_MULTIPLIER);
}
}

8
modules/analysis/common/src/test/org/apache/lucene/analysis/it/TestItalianAnalyzer.java
View File

@ -36,8 +36,8 @@ public class TestItalianAnalyzer extends BaseTokenStreamTestCase {
public void testBasics() throws IOException {
Analyzer a = new ItalianAnalyzer(TEST_VERSION_CURRENT);
// stemming
checkOneTermReuse(a, "abbandonata", "abbandon");
checkOneTermReuse(a, "abbandonati", "abbandon");
checkOneTermReuse(a, "abbandonata", "abbandonat");
checkOneTermReuse(a, "abbandonati", "abbandonat");
// stopword
assertAnalyzesTo(a, "dallo", new String[] {});
}
@ -49,7 +49,7 @@ public class TestItalianAnalyzer extends BaseTokenStreamTestCase {
Analyzer a = new ItalianAnalyzer(TEST_VERSION_CURRENT,
ItalianAnalyzer.getDefaultStopSet(), exclusionSet);
checkOneTermReuse(a, "abbandonata", "abbandonata");
checkOneTermReuse(a, "abbandonati", "abbandon");
checkOneTermReuse(a, "abbandonati", "abbandonat");
}
/** blast some random strings through the analyzer */
@ -61,7 +61,7 @@ public class TestItalianAnalyzer extends BaseTokenStreamTestCase {
public void testContractions() throws IOException {
Analyzer a = new ItalianAnalyzer(TEST_VERSION_CURRENT);
assertAnalyzesTo(a, "dell'Italia", new String[] { "ital" });
assertAnalyzesTo(a, "l'Italiano", new String[] { "ital" });
assertAnalyzesTo(a, "l'Italiano", new String[] { "italian" });
}
/** test that we don't enable this before 3.2*/

6
modules/analysis/common/src/test/org/apache/lucene/analysis/pt/TestPortugueseAnalyzer.java
View File

@ -35,8 +35,8 @@ public class TestPortugueseAnalyzer extends BaseTokenStreamTestCase {
public void testBasics() throws IOException {
Analyzer a = new PortugueseAnalyzer(TEST_VERSION_CURRENT);
// stemming
checkOneTermReuse(a, "quilométricas", "quilométr");
checkOneTermReuse(a, "quilométricos", "quilométr");
checkOneTermReuse(a, "quilométricas", "quilometric");
checkOneTermReuse(a, "quilométricos", "quilometric");
// stopword
assertAnalyzesTo(a, "não", new String[] {});
}
@ -48,7 +48,7 @@ public class TestPortugueseAnalyzer extends BaseTokenStreamTestCase {
Analyzer a = new PortugueseAnalyzer(TEST_VERSION_CURRENT,
PortugueseAnalyzer.getDefaultStopSet(), exclusionSet);
checkOneTermReuse(a, "quilométricas", "quilométricas");
checkOneTermReuse(a, "quilométricos", "quilométr");
checkOneTermReuse(a, "quilométricos", "quilometric");
}
/** blast some random strings through the analyzer */

24
modules/analysis/common/src/test/org/apache/lucene/analysis/th/TestThaiAnalyzer.java
View File

@ -21,7 +21,9 @@ import java.io.StringReader;
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.core.StopAnalyzer;
import org.apache.lucene.analysis.tokenattributes.FlagsAttribute;
import org.apache.lucene.analysis.util.CharArraySet;
import org.apache.lucene.util.Version;
/**
@ -40,14 +42,29 @@ public class TestThaiAnalyzer extends BaseTokenStreamTestCase {
* testcase for offsets
*/
public void testOffsets() throws Exception {
assertAnalyzesTo(new ThaiAnalyzer(TEST_VERSION_CURRENT, CharArraySet.EMPTY_SET), "การที่ได้ต้องแสดงว่างานดี",
new String[] { "การ", "ที่", "ได้", "ต้อง", "แสดง", "ว่า", "งาน", "ดี" },
new int[] { 0, 3, 6, 9, 13, 17, 20, 23 },
new int[] { 3, 6, 9, 13, 17, 20, 23, 25 });
}
public void testStopWords() throws Exception {
assertAnalyzesTo(new ThaiAnalyzer(TEST_VERSION_CURRENT), "การที่ได้ต้องแสดงว่างานดี",
new String[] { "แสดง", "งาน", "ดี" },
new int[] { 13, 20, 23 },
new int[] { 17, 23, 25 },
new int[] { 5, 2, 1 });
}
public void testBackwardsStopWords() throws Exception {
assertAnalyzesTo(new ThaiAnalyzer(Version.LUCENE_35), "การที่ได้ต้องแสดงว่างานดี",
new String[] { "การ", "ที่", "ได้", "ต้อง", "แสดง", "ว่า", "งาน", "ดี" },
new int[] { 0, 3, 6, 9, 13, 17, 20, 23 },
new int[] { 3, 6, 9, 13, 17, 20, 23, 25 });
}
public void testTokenType() throws Exception {
assertAnalyzesTo(new ThaiAnalyzer(TEST_VERSION_CURRENT), "การที่ได้ต้องแสดงว่างานดี ๑๒๓",
assertAnalyzesTo(new ThaiAnalyzer(TEST_VERSION_CURRENT, CharArraySet.EMPTY_SET), "การที่ได้ต้องแสดงว่างานดี ๑๒๓",
new String[] { "การ", "ที่", "ได้", "ต้อง", "แสดง", "ว่า", "งาน", "ดี", "๑๒๓" },
new String[] { "<SOUTHEAST_ASIAN>", "<SOUTHEAST_ASIAN>",
"<SOUTHEAST_ASIAN>", "<SOUTHEAST_ASIAN>",
@ -96,8 +113,9 @@ public class TestThaiAnalyzer extends BaseTokenStreamTestCase {
/*
* Test that position increments are adjusted correctly for stopwords.
*/
// note this test uses stopfilter's stopset
public void testPositionIncrements() throws Exception {
final ThaiAnalyzer analyzer = new ThaiAnalyzer(TEST_VERSION_CURRENT);
final ThaiAnalyzer analyzer = new ThaiAnalyzer(TEST_VERSION_CURRENT, StopAnalyzer.ENGLISH_STOP_WORDS_SET);
assertAnalyzesTo(analyzer, "การที่ได้ต้อง the แสดงว่างานดี",
new String[] { "การ", "ที่", "ได้", "ต้อง", "แสดง", "ว่า", "งาน", "ดี" },
new int[] { 0, 3, 6, 9, 18, 22, 25, 28 },
@ -113,7 +131,7 @@ public class TestThaiAnalyzer extends BaseTokenStreamTestCase {
}
public void testReusableTokenStream() throws Exception {
ThaiAnalyzer analyzer = new ThaiAnalyzer(TEST_VERSION_CURRENT);
ThaiAnalyzer analyzer = new ThaiAnalyzer(TEST_VERSION_CURRENT, CharArraySet.EMPTY_SET);
assertAnalyzesToReuse(analyzer, "", new String[] {});
assertAnalyzesToReuse(

6
solr/CHANGES.txt
View File

@ -479,6 +479,9 @@ New Features
CommonGramsQueryFilterFactory can optionally read stopwords in Snowball
format (specify format="snowball"). (Robert Muir)
* SOLR-3105: ElisionFilterFactory optionally allows the parameter
ignoreCase (default=false). (Robert Muir)
Optimizations
----------------------
* SOLR-1931: Speedup for LukeRequestHandler and admin/schema browser. New parameter
@ -592,6 +595,9 @@ Other Changes
* SOLR-3059: Example XSL stylesheet for indexing query result XML (janhoy)
* SOLR-3097, SOLR-3105: Add analysis configurations for different languages to
the example. (Christian Moen, Robert Muir)
Build
----------------------
* SOLR-2487: Add build target to package war without slf4j jars (janhoy)

94
solr/build.xml
View File

@ -625,4 +625,98 @@
<arg value="update"/>
</exec>
</target>
<property name="analysis-common.res.dir" value="../modules/analysis/common/src/resources/org/apache/lucene/analysis"/>
<property name="analysis-kuromoji.res.dir" value="../modules/analysis/kuromoji/src/resources/org/apache/lucene/analysis"/>
<property name="analysis.conf.dest" value="${example}/solr/conf/lang"/>
<target name="sync-analyzers"
description="Committers' Helper: synchronizes analysis resources (e.g. stoplists) to the example">
<!-- arabic -->
<copy verbose="true" file="${analysis-common.res.dir}/ar/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_ar.txt"/>
<!-- bulgarian -->
<copy verbose="true" file="${analysis-common.res.dir}/bg/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_bg.txt"/>
<!-- catalan -->
<copy verbose="true" file="${analysis-common.res.dir}/ca/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_ca.txt"/>
<!-- czech -->
<copy verbose="true" file="${analysis-common.res.dir}/cz/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_cz.txt"/>
<!-- danish -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/danish_stop.txt"
tofile="${analysis.conf.dest}/stopwords_da.txt"/>
<!-- german -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/german_stop.txt"
tofile="${analysis.conf.dest}/stopwords_de.txt"/>
<!-- greek -->
<copy verbose="true" file="${analysis-common.res.dir}/el/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_el.txt"/>
<!-- spanish -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/spanish_stop.txt"
tofile="${analysis.conf.dest}/stopwords_es.txt"/>
<!-- basque -->
<copy verbose="true" file="${analysis-common.res.dir}/eu/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_eu.txt"/>
<!-- persian -->
<copy verbose="true" file="${analysis-common.res.dir}/fa/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_fa.txt"/>
<!-- finnish -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/finnish_stop.txt"
tofile="${analysis.conf.dest}/stopwords_fi.txt"/>
<!-- french -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/french_stop.txt"
tofile="${analysis.conf.dest}/stopwords_fr.txt"/>
<!-- galician -->
<copy verbose="true" file="${analysis-common.res.dir}/gl/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_gl.txt"/>
<!-- hindi -->
<copy verbose="true" file="${analysis-common.res.dir}/hi/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_hi.txt"/>
<!-- hungarian -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/hungarian_stop.txt"
tofile="${analysis.conf.dest}/stopwords_hu.txt"/>
<!-- armenian -->
<copy verbose="true" file="${analysis-common.res.dir}/hy/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_hy.txt"/>
<!-- indonesian -->
<copy verbose="true" file="${analysis-common.res.dir}/id/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_id.txt"/>
<!-- italian -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/italian_stop.txt"
tofile="${analysis.conf.dest}/stopwords_it.txt"/>
<!-- japanese -->
<copy verbose="true" file="${analysis-kuromoji.res.dir}/kuromoji/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_ja.txt"/>
<copy verbose="true" file="${analysis-kuromoji.res.dir}/kuromoji/stoptags.txt"
tofile="${analysis.conf.dest}/stoptags_ja.txt"/>
<!-- latvian -->
<copy verbose="true" file="${analysis-common.res.dir}/lv/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_lv.txt"/>
<!-- dutch -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/dutch_stop.txt"
tofile="${analysis.conf.dest}/stopwords_nl.txt"/>
<!-- norwegian -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/norwegian_stop.txt"
tofile="${analysis.conf.dest}/stopwords_no.txt"/>
<!-- portuguese -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/portuguese_stop.txt"
tofile="${analysis.conf.dest}/stopwords_pt.txt"/>
<!-- romanian -->
<copy verbose="true" file="${analysis-common.res.dir}/ro/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_ro.txt"/>
<!-- russian -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/russian_stop.txt"
tofile="${analysis.conf.dest}/stopwords_ru.txt"/>
<!-- swedish -->
<copy verbose="true" file="${analysis-common.res.dir}/snowball/swedish_stop.txt"
tofile="${analysis.conf.dest}/stopwords_sv.txt"/>
<!-- thai -->
<copy verbose="true" file="${analysis-common.res.dir}/th/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_th.txt"/>
<!-- turkish -->
<copy verbose="true" file="${analysis-common.res.dir}/tr/stopwords.txt"
tofile="${analysis.conf.dest}/stopwords_tr.txt"/>
</target>
</project>

6
solr/core/src/java/org/apache/solr/analysis/ElisionFilterFactory.java
View File

@ -34,7 +34,8 @@ import org.apache.lucene.analysis.TokenStream;
* &lt;analyzer&gt;
* &lt;tokenizer class="solr.StandardTokenizerFactory"/&gt;
* &lt;filter class="solr.LowerCaseFilterFactory"/&gt;
* &lt;filter class="solr.ElisionFilterFactory" articles="stopwordarticles.txt"/&gt;
* &lt;filter class="solr.ElisionFilterFactory"
* articles="stopwordarticles.txt" ignoreCase="true"/&gt;
* &lt;/analyzer&gt;
* &lt;/fieldType&gt;</pre>
*
@ -45,10 +46,11 @@ public class ElisionFilterFactory extends BaseTokenFilterFactory implements Reso
public void inform(ResourceLoader loader) {
String articlesFile = args.get("articles");
boolean ignoreCase = getBoolean("ignoreCase", false);
if (articlesFile != null) {
try {
articles = getWordSet(loader, articlesFile, false);
articles = getWordSet(loader, articlesFile, ignoreCase);
} catch (IOException e) {
throw new RuntimeException(e);
}

39
solr/core/src/java/org/apache/solr/analysis/GalicianMinimalStemFilterFactory.java Normal file
View File

@ -0,0 +1,39 @@
package org.apache.solr.analysis;
/**
* 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.TokenStream;
import org.apache.lucene.analysis.gl.GalicianMinimalStemFilter;
/**
* Factory for {@link GalicianMinimalStemFilter}.
* <pre class="prettyprint" >
* &lt;fieldType name="text_glplural" class="solr.TextField" positionIncrementGap="100"&gt;
* &lt;analyzer&gt;
* &lt;tokenizer class="solr.StandardTokenizerFactory"/&gt;
* &lt;filter class="solr.LowerCaseFilterFactory"/&gt;
* &lt;filter class="solr.GalicianMinimalStemFilterFactory"/&gt;
* &lt;/analyzer&gt;
* &lt;/fieldType&gt;</pre>
*
*/
public class GalicianMinimalStemFilterFactory extends BaseTokenFilterFactory {
public TokenStream create(TokenStream input) {
return new GalicianMinimalStemFilter(input);
}
}

39
solr/core/src/java/org/apache/solr/analysis/GermanNormalizationFilterFactory.java Normal file
View File

@ -0,0 +1,39 @@
package org.apache.solr.analysis;
/**
* 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.TokenStream;
import org.apache.lucene.analysis.de.GermanNormalizationFilter;
/**
* Factory for {@link GermanNormalizationFilter}.
* <pre class="prettyprint" >
* &lt;fieldType name="text_denorm" class="solr.TextField" positionIncrementGap="100"&gt;
* &lt;analyzer&gt;
* &lt;tokenizer class="solr.StandardTokenizerFactory"/&gt;
* &lt;filter class="solr.LowerCaseFilterFactory"/&gt;
* &lt;filter class="solr.GermanNormalizationFilterFactory"/&gt;
* &lt;/analyzer&gt;
* &lt;/fieldType&gt;</pre>
*/
public class GermanNormalizationFilterFactory extends BaseTokenFilterFactory {
public TokenStream create(TokenStream input) {
return new GermanNormalizationFilter(input);
}
}

18
solr/core/src/test/org/apache/solr/analysis/TestElisionFilterFactory.java
View File

@ -64,4 +64,22 @@ public class TestElisionFilterFactory extends BaseTokenTestCase {
assertTokenStreamContents(stream, new String[] { "avion" });
}
/**
* Test setting ignoreCase=true
*/
public void testCaseInsensitive() throws Exception {
Reader reader = new StringReader("L'avion");
Tokenizer tokenizer = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
ElisionFilterFactory factory = new ElisionFilterFactory();
factory.init(DEFAULT_VERSION_PARAM);
ResourceLoader loader = new SolrResourceLoader(null, null);
Map<String,String> args = new HashMap<String,String>();
args.put("articles", "frenchArticles.txt");
args.put("ignoreCase", "true");
factory.init(args);
factory.inform(loader);
TokenStream stream = factory.create(tokenizer);
assertTokenStreamContents(stream, new String[] { "avion" });
}
}

36
solr/core/src/test/org/apache/solr/analysis/TestGalicianMinimalStemFilterFactory.java Normal file
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package org.apache.solr.analysis;
/**
* 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 java.io.Reader;
import java.io.StringReader;
import org.apache.lucene.analysis.MockTokenizer;
import org.apache.lucene.analysis.TokenStream;
/**
* Simple tests to ensure the Galician plural stem factory is working.
*/
public class TestGalicianMinimalStemFilterFactory extends BaseTokenTestCase {
public void testStemming() throws Exception {
Reader reader = new StringReader("elefantes");
GalicianMinimalStemFilterFactory factory = new GalicianMinimalStemFilterFactory();
TokenStream stream = factory.create(new MockTokenizer(reader, MockTokenizer.WHITESPACE, false));
assertTokenStreamContents(stream, new String[] { "elefante" });
}
}

36
solr/core/src/test/org/apache/solr/analysis/TestGermanNormalizationFilterFactory.java Normal file
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package org.apache.solr.analysis;
/**
* 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 java.io.Reader;
import java.io.StringReader;
import org.apache.lucene.analysis.MockTokenizer;
import org.apache.lucene.analysis.TokenStream;
/**
* Simple tests to ensure the German normalization factory is working.
*/
public class TestGermanNormalizationFilterFactory extends BaseTokenTestCase {
public void testStemming() throws Exception {
Reader reader = new StringReader("weißbier");
GermanNormalizationFilterFactory factory = new GermanNormalizationFilterFactory();
TokenStream stream = factory.create(new MockTokenizer(reader, MockTokenizer.WHITESPACE, false));
assertTokenStreamContents(stream, new String[] { "weissbier" });
}
}

8
solr/example/solr/conf/lang/contractions_ca.txt Normal file
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# Set of Catalan contractions for ElisionFilter
# TODO: load this as a resource from the analyzer and sync it in build.xml
d
l
m
n
s
t

9
solr/example/solr/conf/lang/contractions_fr.txt Normal file
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# Set of French contractions for ElisionFilter
# TODO: load this as a resource from the analyzer and sync it in build.xml
l
m
t
qu
n
s
j

23
solr/example/solr/conf/lang/contractions_it.txt Normal file
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# Set of Italian contractions for ElisionFilter
# TODO: load this as a resource from the analyzer and sync it in build.xml
c
l
all
dall
dell
nell
sull
coll
pell
gl
agl
dagl
degl
negl
sugl
un
m
t
s
v
d

6
solr/example/solr/conf/lang/stemdict_nl.txt Normal file
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# Set of overrides for the dutch stemmer
# TODO: load this as a resource from the analyzer and sync it in build.xml
fiets fiets
bromfiets bromfiets
ei eier
kind kinder

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solr/example/solr/conf/lang/stoptags_ja.txt Normal file
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#
# This file defines a Japanese stoptag set for KuromojiPartOfSpeechStopFilter.
#
# Any token with a part-of-speech tag that exactly matches those defined in this
# file are removed from the token stream.
#
# Set your own stoptags by uncommenting the lines below. Note that comments are
# not allowed on the same line as a stoptag. See LUCENE-3745 for frequency lists,
# etc. that can be useful for building you own stoptag set.
#
# The entire possible tagset is provided below for convenience.
#
#####
# noun: unclassified nouns
#名詞
#
# noun-common: Common nouns or nouns where the sub-classification is undefined
#名詞-一般
#
# noun-proper: Proper nouns where the sub-classification is undefined
#名詞-固有名詞
#
# noun-proper-misc: miscellaneous proper nouns
#名詞-固有名詞-一般
#
# noun-proper-person: Personal names where the sub-classification is undefined
#名詞-固有名詞-人名
#
# noun-proper-person-misc: names that cannot be divided into surname and
# given name; foreign names; names where the surname or given name is unknown.
# e.g. お市の方
#名詞-固有名詞-人名-一般
#
# noun-proper-person-surname: Mainly Japanese surnames.
# e.g. 山田
#名詞-固有名詞-人名-姓
#
# noun-proper-person-given_name: Mainly Japanese given names.
# e.g. 太郎
#名詞-固有名詞-人名-名
#
# noun-proper-organization: Names representing organizations.
# e.g. 通産省, NHK
#名詞-固有名詞-組織
#
# noun-proper-place: Place names where the sub-classification is undefined
#名詞-固有名詞-地域
#
# noun-proper-place-misc: Place names excluding countries.
# e.g. アジア, バルセロナ, 京都
#名詞-固有名詞-地域-一般
#
# noun-proper-place-country: Country names.
# e.g. 日本, オーストラリア
#名詞-固有名詞-地域-国
#
# noun-pronoun: Pronouns where the sub-classification is undefined
#名詞-代名詞
#
# noun-pronoun-misc: miscellaneous pronouns:
# e.g. それ, ここ, あいつ, あなた, あちこち, いくつ, どこか, なに, みなさん, みんな, わたくし, われわれ
#名詞-代名詞-一般
#
# noun-pronoun-contraction: Spoken language contraction made by combining a
# pronoun and the particle 'wa'.
# e.g. ありゃ, こりゃ, こりゃあ, そりゃ, そりゃあ
#名詞-代名詞-縮約
#
# noun-adverbial: Temporal nouns such as names of days or months that behave
# like adverbs. Nouns that represent amount or ratios and can be used adverbially,
# e.g. 金曜, 一月, 午後, 少量
#名詞-副詞可能
#
# noun-verbal: Nouns that take arguments with case and can appear followed by
# 'suru' and related verbs (する, できる, なさる, くださる)
# e.g. インプット, 愛着, 悪化, 悪戦苦闘, 一安心, 下取り
#名詞-サ変接続
#
# noun-adjective-base: The base form of adjectives, words that appear before な ("na")
# e.g. 健康, 安易, 駄目, だめ
#名詞-形容動詞語幹
#
# noun-numeric: Arabic numbers, Chinese numerals, and counters like 何 (回), 数.
# e.g. 0, 1, 2, 何, 数, 幾
#名詞-数
#
# noun-affix: noun affixes where the sub-classification is undefined
#名詞-非自立
#
# noun-affix-misc: Of adnominalizers, the case-marker の ("no"), and words that
# attach to the base form of inflectional words, words that cannot be classified
# into any of the other categories below. This category includes indefinite nouns.
# e.g. あかつき, 暁, かい, 甲斐, 気, きらい, 嫌い, くせ, 癖, こと, 事, ごと, 毎, しだい, 次第,
# 順, せい, 所為, ついで, 序で, つもり, 積もり, 点, どころ, の, はず, 筈, はずみ, 弾み,
# 拍子, ふう, ふり, 振り, ほう, 方, 旨, もの, 物, 者, ゆえ, 故, ゆえん, 所以, わけ, 訳,
# わり, 割り, 割, ん-口語/, もん-口語/
#名詞-非自立-一般
#
# noun-affix-adverbial: noun affixes that that can behave as adverbs.
# e.g. あいだ, 間, あげく, 挙げ句, あと, 後, 余り, 以外, 以降, 以後, 以上, 以前, 一方, うえ,
# 上, うち, 内, おり, 折り, かぎり, 限り, きり, っきり, 結果, ころ, 頃, さい, 際, 最中, さなか,
# 最中, じたい, 自体, たび, 度, ため, 為, つど, 都度, とおり, 通り, とき, 時, ところ, 所,
# とたん, 途端, なか, 中, のち, 後, ばあい, 場合, 日, ぶん, 分, ほか, 他, まえ, 前, まま,
# 儘, 侭, みぎり, 矢先
#名詞-非自立-副詞可能
#
# noun-affix-aux: noun affixes treated as 助動詞 ("auxiliary verb") in school grammars
# with the stem よう(だ) ("you(da)").
# e.g. よう, やう, 様 (よう)
#名詞-非自立-助動詞語幹
#
# noun-affix-adjective-base: noun affixes that can connect to the indeclinable
# connection form な (aux "da").
# e.g. みたい, ふう
#名詞-非自立-形容動詞語幹
#
# noun-special: special nouns where the sub-classification is undefined.
#名詞-特殊
#
# noun-special-aux: The そうだ ("souda") stem form that is used for reporting news, is
# treated as 助動詞 ("auxiliary verb") in school grammars, and attach to the base
# form of inflectional words.
# e.g. そう
#名詞-特殊-助動詞語幹
#
# noun-suffix: noun suffixes where the sub-classification is undefined.
#名詞-接尾
#
# noun-suffix-misc: Of the nouns or stem forms of other parts of speech that connect
# to ガル or タイ and can combine into compound nouns, words that cannot be classified into
# any of the other categories below. In general, this category is more inclusive than
# 接尾語 ("suffix") and is usually the last element in a compound noun.
# e.g. おき, かた, 方, 甲斐 (がい), がかり, ぎみ, 気味, ぐるみ, (～した) さ, 次第, 済 (ず) み,
# よう, (でき)っこ, 感, 観, 性, 学, 類, 面, 用
#名詞-接尾-一般
#
# noun-suffix-person: Suffixes that form nouns and attach to person names more often
# than other nouns.
# e.g. 君, 様, 著
#名詞-接尾-人名
#
# noun-suffix-place: Suffixes that form nouns and attach to place names more often
# than other nouns.
# e.g. 町, 市, 県
#名詞-接尾-地域
#
# noun-suffix-verbal: Of the suffixes that attach to nouns and form nouns, those that
# can appear before スル ("suru").
# e.g. 化, 視, 分け, 入り, 落ち, 買い
#名詞-接尾-サ変接続
#
# noun-suffix-aux: The stem form of そうだ (様態) that is used to indicate conditions,
# is treated as 助動詞 ("auxiliary verb") in school grammars, and attach to the
# conjunctive form of inflectional words.
# e.g. そう
#名詞-接尾-助動詞語幹
#
# noun-suffix-adjective-base: Suffixes that attach to other nouns or the conjunctive
# form of inflectional words and appear before the copula だ ("da").
# e.g. 的, げ, がち
#名詞-接尾-形容動詞語幹
#
# noun-suffix-adverbial: Suffixes that attach to other nouns and can behave as adverbs.
# e.g. 後 (ご), 以後, 以降, 以前, 前後, 中, 末, 上, 時 (じ)
#名詞-接尾-副詞可能
#
# noun-suffix-classifier: Suffixes that attach to numbers and form nouns. This category
# is more inclusive than 助数詞 ("classifier") and includes common nouns that attach
# to numbers.
# e.g. 個, つ, 本, 冊, パーセント, cm, kg, カ月, か国, 区画, 時間, 時半
#名詞-接尾-助数詞
#
# noun-suffix-special: Special suffixes that mainly attach to inflecting words.
# e.g. (楽し) さ, (考え) 方
#名詞-接尾-特殊
#
# noun-suffix-conjunctive: Nouns that behave like conjunctions and join two words
# together.
# e.g. (日本) 対 (アメリカ), 対 (アメリカ), (3) 対 (5), (女優) 兼 (主婦)
#名詞-接続詞的
#
# noun-verbal_aux: Nouns that attach to the conjunctive particle て ("te") and are
# semantically verb-like.
# e.g. ごらん, ご覧, 御覧, 頂戴
#名詞-動詞非自立的
#
# noun-quotation: text that cannot be segmented into words, proverbs, Chinese poetry,
# dialects, English, etc. Currently, the only entry for 名詞 引用文字列 ("noun quotation")
# is いわく ("iwaku").
#名詞-引用文字列
#
# noun-nai_adjective: Words that appear before the auxiliary verb ない ("nai") and
# behave like an adjective.
# e.g. 申し訳, 仕方, とんでも, 違い
#名詞-ナイ形容詞語幹
#
#####
# prefix: unclassified prefixes
#接頭詞
#
# prefix-nominal: Prefixes that attach to nouns (including adjective stem forms)
# excluding numerical expressions.
# e.g. お (水), 某 (氏), 同 (社), 故 (～氏), 高 (品質), お (見事), ご (立派)
#接頭詞-名詞接続
#
# prefix-verbal: Prefixes that attach to the imperative form of a verb or a verb
# in conjunctive form followed by なる/なさる/くださる.
# e.g. お (読みなさい), お (座り)
#接頭詞-動詞接続
#
# prefix-adjectival: Prefixes that attach to adjectives.
# e.g. お (寒いですねえ), バカ (でかい)
#接頭詞-形容詞接続
#
# prefix-numerical: Prefixes that attach to numerical expressions.
# e.g. 約, およそ, 毎時
#接頭詞-数接続
#
#####
# verb: unclassified verbs
#動詞
#
# verb-main:
#動詞-自立
#
# verb-auxiliary:
#動詞-非自立
#
# verb-suffix:
#動詞-接尾
#
#####
# adjective: unclassified adjectives
#形容詞
#
# adjective-main:
#形容詞-自立
#
# adjective-auxiliary:
#形容詞-非自立
#
# adjective-suffix:
#形容詞-接尾
#
#####
# adverb: unclassified adverbs
#副詞
#
# adverb-misc: Words that can be segmented into one unit and where adnominal
# modification is not possible.
# e.g. あいかわらず, 多分
#副詞-一般
#
# adverb-particle_conjunction: Adverbs that can be followed by の, は, に,
# な, する, だ, etc.
# e.g. こんなに, そんなに, あんなに, なにか, なんでも
#副詞-助詞類接続
#
#####
# adnominal: Words that only have noun-modifying forms.
# e.g. この, その, あの, どの, いわゆる, なんらかの, 何らかの, いろんな, こういう, そういう, ああいう,
# どういう, こんな, そんな, あんな, どんな, 大きな, 小さな, おかしな, ほんの, たいした,
# 「(, も) さる (ことながら)」, 微々たる, 堂々たる, 単なる, いかなる, 我が」「同じ, 亡き
#連体詞
#
#####
# conjunction: Conjunctions that can occur independently.
# e.g. が, けれども, そして, じゃあ, それどころか
接続詞
#
#####
# particle: unclassified particles.
助詞
#
# particle-case: case particles where the subclassification is undefined.
助詞-格助詞
#
# particle-case-misc: Case particles.
# e.g. から, が, で, と, に, へ, より, を, の, にて
助詞-格助詞-一般
#
# particle-case-quote: the "to" that appears after nouns, a person’s speech,
# quotation marks, expressions of decisions from a meeting, reasons, judgements,
# conjectures, etc.
# e.g. ( だ) と (述べた.), ( である) と (して執行猶予...)
助詞-格助詞-引用
#
# particle-case-compound: Compounds of particles and verbs that mainly behave
# like case particles.
# e.g. という, といった, とかいう, として, とともに, と共に, でもって, にあたって, に当たって, に当って,
# にあたり, に当たり, に当り, に当たる, にあたる, において, に於いて,に於て, における, に於ける,
# にかけ, にかけて, にかんし, に関し, にかんして, に関して, にかんする, に関する, に際し,
# に際して, にしたがい, に従い, に従う, にしたがって, に従って, にたいし, に対し, にたいして,
# に対して, にたいする, に対する, について, につき, につけ, につけて, につれ, につれて, にとって,
# にとり, にまつわる, によって, に依って, に因って, により, に依り, に因り, による, に依る, に因る,
# にわたって, にわたる, をもって, を以って, を通じ, を通じて, を通して, をめぐって, をめぐり, をめぐる,
# って-口語/, ちゅう-関西弁「という」/, (何) ていう (人)-口語/, っていう-口語/, といふ, とかいふ
助詞-格助詞-連語
#
# particle-conjunctive:
# e.g. から, からには, が, けれど, けれども, けど, し, つつ, て, で, と, ところが, どころか, とも, ども,
# ながら, なり, ので, のに, ば, ものの, や ( した), やいなや, (ころん) じゃ(いけない)-口語/,
# (行っ) ちゃ(いけない)-口語/, (言っ) たって (しかたがない)-口語/, (それがなく)ったって (平気)-口語/
助詞-接続助詞
#
# particle-dependency:
# e.g. こそ, さえ, しか, すら, は, も, ぞ
助詞-係助詞
#
# particle-adverbial:
# e.g. がてら, かも, くらい, 位, ぐらい, しも, (学校) じゃ(これが流行っている)-口語/,
# (それ)じゃあ (よくない)-口語/, ずつ, (私) なぞ, など, (私) なり (に), (先生) なんか (大嫌い)-口語/,
# (私) なんぞ, (先生) なんて (大嫌い)-口語/, のみ, だけ, (私) だって-口語/, だに,
# (彼)ったら-口語/, (お茶) でも (いかが), 等 (とう), (今後) とも, ばかり, ばっか-口語/, ばっかり-口語/,
# ほど, 程, まで, 迄, (誰) も (が)([助詞-格助詞] および [助詞-係助詞] の前に位置する「も」)
助詞-副助詞
#
# particle-interjective: particles with interjective grammatical roles.
# e.g. (松島) や
助詞-間投助詞
#
# particle-coordinate:
# e.g. と, たり, だの, だり, とか, なり, や, やら
助詞-並立助詞
#
# particle-final:
# e.g. かい, かしら, さ, ぜ, (だ)っけ-口語/, (とまってる) で-方言/, な, ナ, なあ-口語/, ぞ, ね, ネ,
# ねぇ-口語/, ねえ-口語/, ねん-方言/, の, のう-口語/, や, よ, ヨ, よぉ-口語/, わ, わい-口語/
助詞-終助詞
#
# particle-adverbial/conjunctive/final: The particle "ka" when unknown whether it is
# adverbial, conjunctive, or sentence final. For example:
# (a) 「A か B か」. Ex:「(国内で運用する) か,(海外で運用する) か (.)」
# (b) Inside an adverb phrase. Ex:「(幸いという) か (, 死者はいなかった.)」
# 「(祈りが届いたせい) か (, 試験に合格した.)」
# (c) 「かのように」. Ex:「(何もなかった) か (のように振る舞った.)」
# e.g. か
助詞-副助詞／並立助詞／終助詞
#
# particle-adnominalizer: The "no" that attaches to nouns and modifies
# non-inflectional words.
助詞-連体化
#
# particle-adnominalizer: The "ni" and "to" that appear following nouns and adverbs
# that are giongo, giseigo, or gitaigo.
# e.g. に, と
助詞-副詞化
#
# particle-special: A particle that does not fit into one of the above classifications.
# This includes particles that are used in Tanka, Haiku, and other poetry.
# e.g. かな, けむ, ( しただろう) に, (あんた) にゃ(わからん), (俺) ん (家)
助詞-特殊
#
#####
# auxiliary-verb:
助動詞
#
#####
# interjection: Greetings and other exclamations.
# e.g. おはよう, おはようございます, こんにちは, こんばんは, ありがとう, どうもありがとう, ありがとうございます,
# いただきます, ごちそうさま, さよなら, さようなら, はい, いいえ, ごめん, ごめんなさい
#感動詞
#
#####
# symbol: unclassified Symbols.
記号
#
# symbol-misc: A general symbol not in one of the categories below.
# e.g. [○◎@$〒→+]
記号-一般
#
# symbol-comma: Commas
# e.g. [,、]
記号-読点
#
# symbol-period: Periods and full stops.
# e.g. [.．。]
記号-句点
#
# symbol-space: Full-width whitespace.
記号-空白
#
# symbol-open_bracket:
# e.g. [({‘“『【]
記号-括弧開
#
# symbol-close_bracket:
# e.g. [)}’”』」】]
記号-括弧閉
#
# symbol-alphabetic:
#記号-アルファベット
#
#####
# other: unclassified other
#その他
#
# other-interjection: Words that are hard to classify as noun-suffixes or
# sentence-final particles.
# e.g. (だ)ァ
その他-間投
#
#####
# filler: Aizuchi that occurs during a conversation or sounds inserted as filler.
# e.g. あの, うんと, えと
フィラー
#
#####
# non-verbal: non-verbal sound.
非言語音
#
#####
# fragment:
#語断片
#
#####
# unknown: unknown part of speech.
#未知語
#
##### End of file

123
solr/example/solr/conf/lang/stopwords_ar.txt Normal file
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# This file was created by Jacques Savoy and is distributed under the BSD license.
# See http://members.unine.ch/jacques.savoy/clef/index.html.
# Also see http://www.opensource.org/licenses/bsd-license.html
# Cleaned on October 11, 2009 (not normalized, so use before normalization)
من
ومن
منها
منه
في
وفي
فيها
فيه
و
ف
ثم
او
أو
ب
بها
به
ا
أ
اى
اي
أي
أى
لا
ولا
الا
ألا
إلا
لكن
ما
وما
كما
فما
عن
مع
اذا
إذا
ان
أن
إن
انها
أنها
إنها
انه
أنه
إنه
بان
بأن
فان
فأن
وان
وأن
وإن
التى
التي
الذى
الذي
الذين
الى
الي
إلى
إلي
على
عليها
عليه
اما
أما
إما
ايضا
أيضا
كل
وكل
لم
ولم
لن
ولن
هى
هي
هو
وهى
وهي
وهو
فهى
فهي
فهو
انت
أنت
لك
لها
له
هذه
هذا
تلك
ذلك
هناك
كانت
كان
يكون
تكون
وكانت
وكان
غير
بعض
قد
نحو
بين
بينما
منذ
ضمن
حيث
الان
الآن
خلال
بعد
قبل
حتى
عند
عندما
لدى
جميع

193
solr/example/solr/conf/lang/stopwords_bg.txt Normal file
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# This file was created by Jacques Savoy and is distributed under the BSD license.
# See http://members.unine.ch/jacques.savoy/clef/index.html.
# Also see http://www.opensource.org/licenses/bsd-license.html
а
аз
ако
ала
бе
без
беше
би
бил
била
били
било
близо
бъдат
бъде
бяха
в
вас
ваш
ваша
вероятно
вече
взема
ви
вие
винаги
все
всеки
всички
всичко
всяка
във
въпреки
върху
г
ги
главно
го
д
да
дали
до
докато
докога
дори
досега
доста
е
едва
един
ето
за
зад
заедно
заради
засега
затова
защо
защото
и
из
или
им
има
имат
иска
й
каза
как
каква
какво
както
какъв
като
кога
когато
което
които
кой
който
колко
която
къде
където
към
ли
м
ме
между
мен
ми
мнозина
мога
могат
може
моля
момента
му
н
на
над
назад
най
направи
напред
например
нас
не
него
нея
ни
ние
никой
нито
но
някои
някой
няма
обаче
около
освен
особено
от
отгоре
отново
още
пак
по
повече
повечето
под
поне
поради
после
почти
прави
пред
преди
през
при
пък
първо
с
са
само
се
сега
си
скоро
след
сме
според
сред
срещу
сте
съм
със
също
т
тази
така
такива
такъв
там
твой
те
тези
ти
тн
то
това
тогава
този
той
толкова
точно
трябва
тук
тъй
тя
тях
у
харесва
ч
че
често
чрез
ще
щом
я

220
solr/example/solr/conf/lang/stopwords_ca.txt Normal file
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# Catalan stopwords from http://github.com/vcl/cue.language (Apache 2 Licensed)
a
abans
ací
ah
així
això
al
als
aleshores
algun
alguna
algunes
alguns
alhora
allà
allí
allò
altra
altre
altres
amb
ambdós
ambdues
apa
aquell
aquella
aquelles
aquells
aquest
aquesta
aquestes
aquests
aquí
baix
cada
cadascú
cadascuna
cadascunes
cadascuns
com
contra
d'un
d'una
d'unes
d'uns
dalt
de
del
dels
des
després
dins
dintre
donat
doncs
durant
e
eh
el
els
em
en
encara
ens
entre
érem
eren
éreu
es
és
esta
està
estàvem
estaven
estàveu
esteu
et
etc
ets
fins
fora
gairebé
ha
han
has
havia
he
hem
heu
hi
ho
i
igual
iguals
ja
l'hi
la
les
li
li'n
llavors
m'he
ma
mal
malgrat
mateix
mateixa
mateixes
mateixos
me
mentre
més
meu
meus
meva
meves
molt
molta
moltes
molts
mon
mons
n'he
n'hi
ne
ni
no
nogensmenys
només
nosaltres
nostra
nostre
nostres
o
oh
oi
on
pas
pel
pels
per
però
perquè
poc
poca
pocs
poques
potser
propi
qual
quals
quan
quant
que
què
quelcom
qui
quin
quina
quines
quins
s'ha
s'han
sa
semblant
semblants
ses
seu
seus
seva
seva
seves
si
sobre
sobretot
sóc
solament
sols
son
són
sons
sota
sou
t'ha
t'han
t'he
ta
tal
també
tampoc
tan
tant
tanta
tantes
teu
teus
teva
teves
ton
tons
tot
tota
totes
tots
un
una
unes
uns
us
va
vaig
vam
van
vas
veu
vosaltres
vostra
vostre
vostres

172
solr/example/solr/conf/lang/stopwords_cz.txt Normal file
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@ -0,0 +1,172 @@
a
s
k
o
i
u
v
z
dnes
cz
tímto
budeš
budem
byli
jseš
můj
svým
ta
tomto
tohle
tuto
tyto
jej
zda
proč
máte
tato
kam
tohoto
kdo
kteří
mi
nám
tom
tomuto
mít
nic
proto
kterou
byla
toho
protože
asi
ho
naši
napište
re
což
tím
takže
svých
její
svými
jste
aj
tu
tedy
teto
bylo
kde
ke
pravé
ji
nad
nejsou
či
pod
téma
mezi
přes
ty
pak
vám
ani
když
však
neg
jsem
tento
článku
články
aby
jsme
před
pta
jejich
byl
ještě
až
bez
také
pouze
první
vaše
která
nás
nový
tipy
pokud
může
strana
jeho
své
jiné
zprávy
nové
není
vás
jen
podle
zde
už
být
více
bude
již
než
který
by
které
co
nebo
ten
tak
má
při
od
po
jsou
jak
další
ale
si
se
ve
to
jako
za
zpět
ze
do
pro
je
na
atd
atp
jakmile
přičemž
já
on
ona
ono
oni
ony
my
vy
jí
ji
mě
mne
jemu
tomu
těm
těmu
němu
němuž
jehož
jíž
jelikož
jež
jakož
načež

108
solr/example/solr/conf/lang/stopwords_da.txt Normal file
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| From svn.tartarus.org/snowball/trunk/website/algorithms/danish/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| A Danish stop word list. Comments begin with vertical bar. Each stop
| word is at the start of a line.
| This is a ranked list (commonest to rarest) of stopwords derived from
| a large text sample.
og | and
i | in
jeg | I
det | that (dem. pronoun)/it (pers. pronoun)
at | that (in front of a sentence)/to (with infinitive)
en | a/an
den | it (pers. pronoun)/that (dem. pronoun)
til | to/at/for/until/against/by/of/into, more
er | present tense of "to be"
som | who, as
på | on/upon/in/on/at/to/after/of/with/for, on
de | they
med | with/by/in, along
han | he
af | of/by/from/off/for/in/with/on, off
for | at/for/to/from/by/of/ago, in front/before, because
ikke | not
der | who/which, there/those
var | past tense of "to be"
mig | me/myself
sig | oneself/himself/herself/itself/themselves
men | but
et | a/an/one, one (number), someone/somebody/one
har | present tense of "to have"
om | round/about/for/in/a, about/around/down, if
vi | we
min | my
havde | past tense of "to have"
ham | him
hun | she
nu | now
over | over/above/across/by/beyond/past/on/about, over/past
da | then, when/as/since
fra | from/off/since, off, since
du | you
ud | out
sin | his/her/its/one's
dem | them
os | us/ourselves
op | up
man | you/one
hans | his
hvor | where
eller | or
hvad | what
skal | must/shall etc.
selv | myself/youself/herself/ourselves etc., even
her | here
alle | all/everyone/everybody etc.
vil | will (verb)
blev | past tense of "to stay/to remain/to get/to become"
kunne | could
ind | in
når | when
være | present tense of "to be"
dog | however/yet/after all
noget | something
ville | would
jo | you know/you see (adv), yes
deres | their/theirs
efter | after/behind/according to/for/by/from, later/afterwards
ned | down
skulle | should
denne | this
end | than
dette | this
mit | my/mine
også | also
under | under/beneath/below/during, below/underneath
have | have
dig | you
anden | other
hende | her
mine | my
alt | everything
meget | much/very, plenty of
sit | his, her, its, one's
sine | his, her, its, one's
vor | our
mod | against
disse | these
hvis | if
din | your/yours
nogle | some
hos | by/at
blive | be/become
mange | many
ad | by/through
bliver | present tense of "to be/to become"
hendes | her/hers
været | be
thi | for (conj)
jer | you
sådan | such, like this/like that

292
solr/example/solr/conf/lang/stopwords_de.txt Normal file
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@ -0,0 +1,292 @@
| From svn.tartarus.org/snowball/trunk/website/algorithms/german/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| A German stop word list. Comments begin with vertical bar. Each stop
| word is at the start of a line.
| The number of forms in this list is reduced significantly by passing it
| through the German stemmer.
aber | but
alle | all
allem
allen
aller
alles
als | than, as
also | so
am | an + dem
an | at
ander | other
andere
anderem
anderen
anderer
anderes
anderm
andern
anderr
anders
auch | also
auf | on
aus | out of
bei | by
bin | am
bis | until
bist | art
da | there
damit | with it
dann | then
der | the
den
des
dem
die
das
daß | that
derselbe | the same
derselben
denselben
desselben
demselben
dieselbe
dieselben
dasselbe
dazu | to that
dein | thy
deine
deinem
deinen
deiner
deines
denn | because
derer | of those
dessen | of him
dich | thee
dir | to thee
du | thou
dies | this
diese
diesem
diesen
dieser
dieses
doch | (several meanings)
dort | (over) there
durch | through
ein | a
eine
einem
einen
einer
eines
einig | some
einige
einigem
einigen
einiger
einiges
einmal | once
er | he
ihn | him
ihm | to him
es | it
etwas | something
euer | your
eure
eurem
euren
eurer
eures
für | for
gegen | towards
gewesen | p.p. of sein
hab | have
habe | have
haben | have
hat | has
hatte | had
hatten | had
hier | here
hin | there
hinter | behind
ich | I
mich | me
mir | to me
ihr | you, to her
ihre
ihrem
ihren
ihrer
ihres
euch | to you
im | in + dem
in | in
indem | while
ins | in + das
ist | is
jede | each, every
jedem
jeden
jeder
jedes
jene | that
jenem
jenen
jener
jenes
jetzt | now
kann | can
kein | no
keine
keinem
keinen
keiner
keines
können | can
könnte | could
machen | do
man | one
manche | some, many a
manchem
manchen
mancher
manches
mein | my
meine
meinem
meinen
meiner
meines
mit | with
muss | must
musste | had to
nach | to(wards)
nicht | not
nichts | nothing
noch | still, yet
nun | now
nur | only
ob | whether
oder | or
ohne | without
sehr | very
sein | his
seine
seinem
seinen
seiner
seines
selbst | self
sich | herself
sie | they, she
ihnen | to them
sind | are
so | so
solche | such
solchem
solchen
solcher
solches
soll | shall
sollte | should
sondern | but
sonst | else
über | over
um | about, around
und | and
uns | us
unse
unsem
unsen
unser
unses
unter | under
viel | much
vom | von + dem
von | from
vor | before
während | while
war | was
waren | were
warst | wast
was | what
weg | away, off
weil | because
weiter | further
welche | which
welchem
welchen
welcher
welches
wenn | when
werde | will
werden | will
wie | how
wieder | again
will | want
wir | we
wird | will
wirst | willst
wo | where
wollen | want
wollte | wanted
würde | would
würden | would
zu | to
zum | zu + dem
zur | zu + der
zwar | indeed
zwischen | between

76
solr/example/solr/conf/lang/stopwords_el.txt Normal file
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@ -0,0 +1,76 @@
# Lucene Greek Stopwords list
ο
η
το
οι
τα
του
τησ
των
τον
την
και
κι
κ
ειμαι
εισαι
ειναι
ειμαστε
ειστε
στο
στον
στη
στην
μα
αλλα
απο
για
προσ
με
σε
ωσ
παρα
αντι
κατα
μετα
θα
να
δε
δεν
μη
μην
επι
ενω
εαν
αν
τοτε
που
πωσ
ποιοσ
ποια
ποιο
ποιοι
ποιεσ
ποιων
ποιουσ
αυτοσ
αυτη
αυτο
αυτοι
αυτων
αυτουσ
αυτεσ
αυτα
εκεινοσ
εκεινη
εκεινο
εκεινοι
εκεινεσ
εκεινα
εκεινων
εκεινουσ
οπωσ
ομωσ
ισωσ
οσο
οτι

0
solr/example/solr/conf/stopwords_en.txt → solr/example/solr/conf/lang/stopwords_en.txt
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354
solr/example/solr/conf/lang/stopwords_es.txt Normal file
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@ -0,0 +1,354 @@
| From svn.tartarus.org/snowball/trunk/website/algorithms/spanish/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| A Spanish stop word list. Comments begin with vertical bar. Each stop
| word is at the start of a line.
| The following is a ranked list (commonest to rarest) of stopwords
| deriving from a large sample of text.
| Extra words have been added at the end.
de | from, of
la | the, her
que | who, that
el | the
en | in
y | and
a | to
los | the, them
del | de + el
se | himself, from him etc
las | the, them
por | for, by, etc
un | a
para | for
con | with
no | no
una | a
su | his, her
al | a + el
| es from SER
lo | him
como | how
más | more
pero | pero
sus | su plural
le | to him, her
ya | already
o | or
| fue from SER
este | this
| ha from HABER
sí | himself etc
porque | because
esta | this
| son from SER
entre | between
| está from ESTAR
cuando | when
muy | very
sin | without
sobre | on
| ser from SER
| tiene from TENER
también | also
me | me
hasta | until
hay | there is/are
donde | where
| han from HABER
quien | whom, that
| están from ESTAR
| estado from ESTAR
desde | from
todo | all
nos | us
durante | during
| estados from ESTAR
todos | all
uno | a
les | to them
ni | nor
contra | against
otros | other
| fueron from SER
ese | that
eso | that
| había from HABER
ante | before
ellos | they
e | and (variant of y)
esto | this
mí | me
antes | before
algunos | some
qué | what?
unos | a
yo | I
otro | other
otras | other
otra | other
él | he
tanto | so much, many
esa | that
estos | these
mucho | much, many
quienes | who
nada | nothing
muchos | many
cual | who
| sea from SER
poco | few
ella | she
estar | to be
| haber from HABER
estas | these
| estaba from ESTAR
| estamos from ESTAR
algunas | some
algo | something
nosotros | we
| other forms
mi | me
mis | mi plural
tú | thou
te | thee
ti | thee
tu | thy
tus | tu plural
ellas | they
nosotras | we
vosotros | you
vosotras | you
os | you
mío | mine
mía |
míos |
mías |
tuyo | thine
tuya |
tuyos |
tuyas |
suyo | his, hers, theirs
suya |
suyos |
suyas |
nuestro | ours
nuestra |
nuestros |
nuestras |
vuestro | yours
vuestra |
vuestros |
vuestras |
esos | those
esas | those
| forms of estar, to be (not including the infinitive):
estoy
estás
está
estamos
estáis
están
esté
estés
estemos
estéis
estén
estaré
estarás
estará
estaremos
estaréis
estarán
estaría
estarías
estaríamos
estaríais
estarían
estaba
estabas
estábamos
estabais
estaban
estuve
estuviste
estuvo
estuvimos
estuvisteis
estuvieron
estuviera
estuvieras
estuviéramos
estuvierais
estuvieran
estuviese
estuvieses
estuviésemos
estuvieseis
estuviesen
estando
estado
estada
estados
estadas
estad
| forms of haber, to have (not including the infinitive):
he
has
ha
hemos
habéis
han
haya
hayas
hayamos
hayáis
hayan
habré
habrás
habrá
habremos
habréis
habrán
habría
habrías
habríamos
habríais
habrían
había
habías
habíamos
habíais
habían
hube
hubiste
hubo
hubimos
hubisteis
hubieron
hubiera
hubieras
hubiéramos
hubierais
hubieran
hubiese
hubieses
hubiésemos
hubieseis
hubiesen
habiendo
habido
habida
habidos
habidas
| forms of ser, to be (not including the infinitive):
soy
eres
es
somos
sois
son
sea
seas
seamos
seáis
sean
seré
serás
será
seremos
seréis
serán
sería
serías
seríamos
seríais
serían
era
eras
éramos
erais
eran
fui
fuiste
fue
fuimos
fuisteis
fueron
fuera
fueras
fuéramos
fuerais
fueran
fuese
fueses
fuésemos
fueseis
fuesen
siendo
sido
| sed also means 'thirst'
| forms of tener, to have (not including the infinitive):
tengo
tienes
tiene
tenemos
tenéis
tienen
tenga
tengas
tengamos
tengáis
tengan
tendré
tendrás
tendrá
tendremos
tendréis
tendrán
tendría
tendrías
tendríamos
tendríais
tendrían
tenía
tenías
teníamos
teníais
tenían
tuve
tuviste
tuvo
tuvimos
tuvisteis
tuvieron
tuviera
tuvieras
tuviéramos
tuvierais
tuvieran
tuviese
tuvieses
tuviésemos
tuvieseis
tuviesen
teniendo
tenido
tenida
tenidos
tenidas
tened

99
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# example set of basque stopwords
al
anitz
arabera
asko
baina
bat
batean
batek
bati
batzuei
batzuek
batzuetan
batzuk
bera
beraiek
berau
berauek
bere
berori
beroriek
beste
bezala
da
dago
dira
ditu
du
dute
edo
egin
ere
eta
eurak
ez
gainera
gu
gutxi
guzti
haiei
haiek
haietan
hainbeste
hala
han
handik
hango
hara
hari
hark
hartan
hau
hauei
hauek
hauetan
hemen
hemendik
hemengo
hi
hona
honek
honela
honetan
honi
hor
hori
horiei
horiek
horietan
horko
horra
horrek
horrela
horretan
horri
hortik
hura
izan
ni
noiz
nola
non
nondik
nongo
nor
nora
ze
zein
zen
zenbait
zenbat
zer
zergatik
ziren
zituen
zu
zuek
zuen
zuten

311
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# This file was created by Jacques Savoy and is distributed under the BSD license.
# See http://members.unine.ch/jacques.savoy/clef/index.html.
# Also see http://www.opensource.org/licenses/bsd-license.html
انان
نداشته
سراسر
خياه
ايشان
وي
تاكنون
بيشتري
دوم
پس
ناشي
وگو
يا
داشتند
سپس
هنگام
هرگز
پنج
نشان
امسال
ديگر
گروهي
شدند
چطور
ده
و
دو
نخستين
ولي
چرا
چه
وسط
ه
كدام
قابل
يك
رفت
هفت
همچنين
در
هزار
بله
بلي
شايد
اما
شناسي
گرفته
دهد
داشته
دانست
داشتن
خواهيم
ميليارد
وقتيكه
امد
خواهد
جز
اورده
شده
بلكه
خدمات
شدن
برخي
نبود
بسياري
جلوگيري
حق
كردند
نوعي
بعري
نكرده
نظير
نبايد
بوده
بودن
داد
اورد
هست
جايي
شود
دنبال
داده
بايد
سابق
هيچ
همان
انجا
كمتر
كجاست
گردد
كسي
تر
مردم
تان
دادن
بودند
سري
جدا
ندارند
مگر
يكديگر
دارد
دهند
بنابراين
هنگامي
سمت
جا
انچه
خود
دادند
زياد
دارند
اثر
بدون
بهترين
بيشتر
البته
به
براساس
بيرون
كرد
بعضي
گرفت
توي
اي
ميليون
او
جريان
تول
بر
مانند
برابر
باشيم
مدتي
گويند
اكنون
تا
تنها
جديد
چند
بي
نشده
كردن
كردم
گويد
كرده
كنيم
نمي
نزد
روي
قصد
فقط
بالاي
ديگران
اين
ديروز
توسط
سوم
ايم
دانند
سوي
استفاده
شما
كنار
داريم
ساخته
طور
امده
رفته
نخست
بيست
نزديك
طي
كنيد
از
انها
تمامي
داشت
يكي
طريق
اش
چيست
روب
نمايد
گفت
چندين
چيزي
تواند
ام
ايا
با
ان
ايد
ترين
اينكه
ديگري
راه
هايي
بروز
همچنان
پاعين
كس
حدود
مختلف
مقابل
چيز
گيرد
ندارد
ضد
همچون
سازي
شان
مورد
باره
مرسي
خويش
برخوردار
چون
خارج
شش
هنوز
تحت
ضمن
هستيم
گفته
فكر
بسيار
پيش
براي
روزهاي
انكه
نخواهد
بالا
كل
وقتي
كي
چنين
كه
گيري
نيست
است
كجا
كند
نيز
يابد
بندي
حتي
توانند
عقب
خواست
كنند
بين
تمام
همه
ما
باشند
مثل
شد
اري
باشد
اره
طبق
بعد
اگر
صورت
غير
جاي
بيش
ريزي
اند
زيرا
چگونه
بار
لطفا
مي
درباره
من
ديده
همين
گذاري
برداري
علت
گذاشته
هم
فوق
نه
ها
شوند
اباد
همواره
هر
اول
خواهند
چهار
نام
امروز
مان
هاي
قبل
كنم
سعي
تازه
را
هستند
زير
جلوي
عنوان
بود

95
solr/example/solr/conf/lang/stopwords_fi.txt Normal file
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| From svn.tartarus.org/snowball/trunk/website/algorithms/finnish/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| forms of BE
olla
olen
olet
on
olemme
olette
ovat
ole | negative form
oli
olisi
olisit
olisin
olisimme
olisitte
olisivat
olit
olin
olimme
olitte
olivat
ollut
olleet
en | negation
et
ei
emme
ette
eivät
|Nom Gen Acc Part Iness Elat Illat Adess Ablat Allat Ess Trans
minä minun minut minua minussa minusta minuun minulla minulta minulle | I
sinä sinun sinut sinua sinussa sinusta sinuun sinulla sinulta sinulle | you
hän hänen hänet häntä hänessä hänestä häneen hänellä häneltä hänelle | he she
me meidän meidät meitä meissä meistä meihin meillä meiltä meille | we
te teidän teidät teitä teissä teistä teihin teillä teiltä teille | you
he heidän heidät heitä heissä heistä heihin heillä heiltä heille | they
tämä tämän tätä tässä tästä tähän tallä tältä tälle tänä täksi | this
tuo tuon tuotä tuossa tuosta tuohon tuolla tuolta tuolle tuona tuoksi | that
se sen sitä siinä siitä siihen sillä siltä sille sinä siksi | it
nämä näiden näitä näissä näistä näihin näillä näiltä näille näinä näiksi | these
nuo noiden noita noissa noista noihin noilla noilta noille noina noiksi | those
ne niiden niitä niissä niistä niihin niillä niiltä niille niinä niiksi | they
kuka kenen kenet ketä kenessä kenestä keneen kenellä keneltä kenelle kenenä keneksi| who
ketkä keiden ketkä keitä keissä keistä keihin keillä keiltä keille keinä keiksi | (pl)
mikä minkä minkä mitä missä mistä mihin millä miltä mille minä miksi | which what
mitkä | (pl)
joka jonka jota jossa josta johon jolla jolta jolle jona joksi | who which
jotka joiden joita joissa joista joihin joilla joilta joille joina joiksi | (pl)
| conjunctions
että | that
ja | and
jos | if
koska | because
kuin | than
mutta | but
niin | so
sekä | and
sillä | for
tai | or
vaan | but
vai | or
vaikka | although
| prepositions
kanssa | with
mukaan | according to
noin | about
poikki | across
yli | over, across
| other
kun | when
niin | so
nyt | now
itse | self

183
solr/example/solr/conf/lang/stopwords_fr.txt Normal file
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| From svn.tartarus.org/snowball/trunk/website/algorithms/french/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| A French stop word list. Comments begin with vertical bar. Each stop
| word is at the start of a line.
au | a + le
aux | a + les
avec | with
ce | this
ces | these
dans | with
de | of
des | de + les
du | de + le
elle | she
en | `of them' etc
et | and
eux | them
il | he
je | I
la | the
le | the
leur | their
lui | him
ma | my (fem)
mais | but
me | me
même | same; as in moi-même (myself) etc
mes | me (pl)
moi | me
mon | my (masc)
ne | not
nos | our (pl)
notre | our
nous | we
on | one
ou | where
par | by
pas | not
pour | for
qu | que before vowel
que | that
qui | who
sa | his, her (fem)
se | oneself
ses | his (pl)
son | his, her (masc)
sur | on
ta | thy (fem)
te | thee
tes | thy (pl)
toi | thee
ton | thy (masc)
tu | thou
un | a
une | a
vos | your (pl)
votre | your
vous | you
| single letter forms
c | c'
d | d'
j | j'
l | l'
à | to, at
m | m'
n | n'
s | s'
t | t'
y | there
| forms of être (not including the infinitive):
été
étée
étées
étés
étant
suis
es
est
sommes
êtes
sont
serai
seras
sera
serons
serez
seront
serais
serait
serions
seriez
seraient
étais
était
étions
étiez
étaient
fus
fut
fûmes
fûtes
furent
sois
soit
soyons
soyez
soient
fusse
fusses
fût
fussions
fussiez
fussent
| forms of avoir (not including the infinitive):
ayant
eu
eue
eues
eus
ai
as
avons
avez
ont
aurai
auras
aura
aurons
aurez
auront
aurais
aurait
aurions
auriez
auraient
avais
avait
avions
aviez
avaient
eut
eûmes
eûtes
eurent
aie
aies
ait
ayons
ayez
aient
eusse
eusses
eût
eussions
eussiez
eussent
| Later additions (from Jean-Christophe Deschamps)
ceci | this
celà  | that
cet | this
cette | this
ici | here
ils | they
les | the (pl)
leurs | their (pl)
quel | which
quels | which
quelle | which
quelles | which
sans | without
soi | oneself

161
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# galican stopwords
a
aínda
alí
aquel
aquela
aquelas
aqueles
aquilo
aquí
ao
aos
as
así
á
ben
cando
che
co
coa
comigo
con
connosco
contigo
convosco
coas
cos
cun
cuns
cunha
cunhas
da
dalgunha
dalgunhas
dalgún
dalgúns
das
de
del
dela
delas
deles
desde
deste
do
dos
dun
duns
dunha
dunhas
e
el
ela
elas
eles
en
era
eran
esa
esas
ese
eses
esta
estar
estaba
está
están
este
estes
estiven
estou
eu
é
facer
foi
foron
fun
había
hai
iso
isto
la
las
lle
lles
lo
los
mais
me
meu
meus
min
miña
miñas
moi
na
nas
neste
nin
no
non
nos
nosa
nosas
noso
nosos
nós
nun
nunha
nuns
nunhas
o
os
ou
ó
ós
para
pero
pode
pois
pola
polas
polo
polos
por
que
se
senón
ser
seu
seus
sexa
sido
sobre
súa
súas
tamén
tan
te
ten
teñen
teño
ter
teu
teus
ti
tido
tiña
tiven
túa
túas
un
unha
unhas
uns
vos
vosa
vosas
voso
vosos
vós

231
solr/example/solr/conf/lang/stopwords_hi.txt Normal file
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# Also see http://www.opensource.org/licenses/bsd-license.html
# See http://members.unine.ch/jacques.savoy/clef/index.html.
# This file was created by Jacques Savoy and is distributed under the BSD license.
अंदर
अत
अपना
अपनी
अपने
अभी
आदि
आप
इत्यादि
इन
इनका
इन्हीं
इन्हें
इन्हों
इस
इसका
इसकी
इसके
इसमें
इसी
इसे
उन
उनका
उनकी
उनके
उनको
उन्हीं
उन्हें
उन्हों
उस
उसके
उसी
उसे
एक
एवं
एस
ऐसे
और
कई
कर
करता
करते
करना
करने
करें
कहते
कहा
का
काफ़ी
कि
कितना
किन्हें
किन्हों
किया
किर
किस
किसी
किसे
की
कुछ
कुल
के
को
कोई
कौन
कौनसा
गया
घर
जब
जहाँ
जा
जितना
जिन
जिन्हें
जिन्हों
जिस
जिसे
जीधर
जैसा
जैसे
जो
तक
तब
तरह
तिन
तिन्हें
तिन्हों
तिस
तिसे
तो
था
थी
थे
दबारा
दिया
दुसरा
दूसरे
दो
द्वारा
न
नहीं
ना
निहायत
नीचे
ने
पर
पर
पहले
पूरा
पे
फिर
बनी
बही
बहुत
बाद
बाला
बिलकुल
भी
भीतर
मगर
मानो
मे
में
यदि
यह
यहाँ
यही
या
यिह
ये
रखें
रहा
रहे
ऱ्वासा
लिए
लिये
लेकिन
व
वर्ग
वह
वह
वहाँ
वहीं
वाले
वुह
वे
वग़ैरह
संग
सकता
सकते
सबसे
सभी
साथ
साबुत
साभ
सारा
से
सो
ही
हुआ
हुई
हुए
है
हैं
हो
होता
होती
होते
होना
होने
# additional normalized forms of the above
अपनि
जेसे
होति
सभि
तिंहों
इंहों
दवारा
इसि
किंहें
थि
उंहों
ओर
जिंहें
वहिं
अभि
बनि
हि
उंहिं
उंहें
हें
वगेरह
एसे
रवासा
कोन
निचे
काफि
उसि
पुरा
भितर
हे
बहि
वहां
कोइ
यहां
जिंहों
तिंहें
किसि
कइ
यहि
इंहिं
जिधर
इंहें
अदि
इतयादि
हुइ
कोनसा
इसकि
दुसरे
जहां
अप
किंहों
उनकि
भि
वरग
हुअ
जेसा
नहिं

209
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| From svn.tartarus.org/snowball/trunk/website/algorithms/hungarian/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| Hungarian stop word list
| prepared by Anna Tordai
a
ahogy
ahol
aki
akik
akkor
alatt
által
általában
amely
amelyek
amelyekben
amelyeket
amelyet
amelynek
ami
amit
amolyan
amíg
amikor
át
abban
ahhoz
annak
arra
arról
az
azok
azon
azt
azzal
azért
aztán
azután
azonban
bár
be
belül
benne
cikk
cikkek
cikkeket
csak
de
e
eddig
egész
egy
egyes
egyetlen
egyéb
egyik
egyre
ekkor
el
elég
ellen
elő
először
előtt
első
én
éppen
ebben
ehhez
emilyen
ennek
erre
ez
ezt
ezek
ezen
ezzel
ezért
és
fel
felé
hanem
hiszen
hogy
hogyan
igen
így
illetve
ill.
ill
ilyen
ilyenkor
ison
ismét
itt
jó
jól
jobban
kell
kellett
keresztül
keressünk
ki
kívül
között
közül
legalább
lehet
lehetett
legyen
lenne
lenni
lesz
lett
maga
magát
majd
majd
már
más
másik
meg
még
mellett
mert
mely
melyek
mi
mit
míg
miért
milyen
mikor
minden
mindent
mindenki
mindig
mint
mintha
mivel
most
nagy
nagyobb
nagyon
ne
néha
nekem
neki
nem
néhány
nélkül
nincs
olyan
ott
össze
ő
ők
őket
pedig
persze
rá
s
saját
sem
semmi
sok
sokat
sokkal
számára
szemben
szerint
szinte
talán
tehát
teljes
tovább
továbbá
több
úgy
ugyanis
új
újabb
újra
után
utána
utolsó
vagy
vagyis
valaki
valami
valamint
való
vagyok
van
vannak
volt
voltam
voltak
voltunk
vissza
vele
viszont
volna

46
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# example set of Armenian stopwords.
այդ
այլ
այն
այս
դու
դուք
եմ
են
ենք
ես
եք
է
էի
էին
էինք
էիր
էիք
էր
ըստ
թ
ի
ին
իսկ
իր
կամ
համար
հետ
հետո
մենք
մեջ
մի
ն
նա
նաև
նրա
նրանք
որ
որը
որոնք
որպես
ու
ում
պիտի
վրա
և

359
solr/example/solr/conf/lang/stopwords_id.txt Normal file
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@ -0,0 +1,359 @@
# from appendix D of: A Study of Stemming Effects on Information
# Retrieval in Bahasa Indonesia
ada
adanya
adalah
adapun
agak
agaknya
agar
akan
akankah
akhirnya
aku
akulah
amat
amatlah
anda
andalah
antar
diantaranya
antara
antaranya
diantara
apa
apaan
mengapa
apabila
apakah
apalagi
apatah
atau
ataukah
ataupun
bagai
bagaikan
sebagai
sebagainya
bagaimana
bagaimanapun
sebagaimana
bagaimanakah
bagi
bahkan
bahwa
bahwasanya
sebaliknya
banyak
sebanyak
beberapa
seberapa
begini
beginian
beginikah
beginilah
sebegini
begitu
begitukah
begitulah
begitupun
sebegitu
belum
belumlah
sebelum
sebelumnya
sebenarnya
berapa
berapakah
berapalah
berapapun
betulkah
sebetulnya
biasa
biasanya
bila
bilakah
bisa
bisakah
sebisanya
boleh
bolehkah
bolehlah
buat
bukan
bukankah
bukanlah
bukannya
cuma
percuma
dahulu
dalam
dan
dapat
dari
daripada
dekat
demi
demikian
demikianlah
sedemikian
dengan
depan
di
dia
dialah
dini
diri
dirinya
terdiri
dong
dulu
enggak
enggaknya
entah
entahlah
terhadap
terhadapnya
hal
hampir
hanya
hanyalah
harus
haruslah
harusnya
seharusnya
hendak
hendaklah
hendaknya
hingga
sehingga
ia
ialah
ibarat
ingin
inginkah
inginkan
ini
inikah
inilah
itu
itukah
itulah
jangan
jangankan
janganlah
jika
jikalau
juga
justru
kala
kalau
kalaulah
kalaupun
kalian
kami
kamilah
kamu
kamulah
kan
kapan
kapankah
kapanpun
dikarenakan
karena
karenanya
ke
kecil
kemudian
kenapa
kepada
kepadanya
ketika
seketika
khususnya
kini
kinilah
kiranya
sekiranya
kita
kitalah
kok
lagi
lagian
selagi
lah
lain
lainnya
melainkan
selaku
lalu
melalui
terlalu
lama
lamanya
selama
selama
selamanya
lebih
terlebih
bermacam
macam
semacam
maka
makanya
makin
malah
malahan
mampu
mampukah
mana
manakala
manalagi
masih
masihkah
semasih
masing
mau
maupun
semaunya
memang
mereka
merekalah
meski
meskipun
semula
mungkin
mungkinkah
nah
namun
nanti
nantinya
nyaris
oleh
olehnya
seorang
seseorang
pada
padanya
padahal
paling
sepanjang
pantas
sepantasnya
sepantasnyalah
para
pasti
pastilah
per
pernah
pula
pun
merupakan
rupanya
serupa
saat
saatnya
sesaat
saja
sajalah
saling
bersama
sama
sesama
sambil
sampai
sana
sangat
sangatlah
saya
sayalah
se
sebab
sebabnya
sebuah
tersebut
tersebutlah
sedang
sedangkan
sedikit
sedikitnya
segala
segalanya
segera
sesegera
sejak
sejenak
sekali
sekalian
sekalipun
sesekali
sekaligus
sekarang
sekarang
sekitar
sekitarnya
sela
selain
selalu
seluruh
seluruhnya
semakin
sementara
sempat
semua
semuanya
sendiri
sendirinya
seolah
seperti
sepertinya
sering
seringnya
serta
siapa
siapakah
siapapun
disini
disinilah
sini
sinilah
sesuatu
sesuatunya
suatu
sesudah
sesudahnya
sudah
sudahkah
sudahlah
supaya
tadi
tadinya
tak
tanpa
setelah
telah
tentang
tentu
tentulah
tentunya
tertentu
seterusnya
tapi
tetapi
setiap
tiap
setidaknya
tidak
tidakkah
tidaklah
toh
waduh
wah
wahai
sewaktu
walau
walaupun
wong
yaitu
yakni
yang

301
solr/example/solr/conf/lang/stopwords_it.txt Normal file
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| From svn.tartarus.org/snowball/trunk/website/algorithms/italian/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| An Italian stop word list. Comments begin with vertical bar. Each stop
| word is at the start of a line.
ad | a (to) before vowel
al | a + il
allo | a + lo
ai | a + i
agli | a + gli
all | a + l'
agl | a + gl'
alla | a + la
alle | a + le
con | with
col | con + il
coi | con + i (forms collo, cogli etc are now very rare)
da | from
dal | da + il
dallo | da + lo
dai | da + i
dagli | da + gli
dall | da + l'
dagl | da + gll'
dalla | da + la
dalle | da + le
di | of
del | di + il
dello | di + lo
dei | di + i
degli | di + gli
dell | di + l'
degl | di + gl'
della | di + la
delle | di + le
in | in
nel | in + el
nello | in + lo
nei | in + i
negli | in + gli
nell | in + l'
negl | in + gl'
nella | in + la
nelle | in + le
su | on
sul | su + il
sullo | su + lo
sui | su + i
sugli | su + gli
sull | su + l'
sugl | su + gl'
sulla | su + la
sulle | su + le
per | through, by
tra | among
contro | against
io | I
tu | thou
lui | he
lei | she
noi | we
voi | you
loro | they
mio | my
mia |
miei |
mie |
tuo |
tua |
tuoi | thy
tue |
suo |
sua |
suoi | his, her
sue |
nostro | our
nostra |
nostri |
nostre |
vostro | your
vostra |
vostri |
vostre |
mi | me
ti | thee
ci | us, there
vi | you, there
lo | him, the
la | her, the
li | them
le | them, the
gli | to him, the
ne | from there etc
il | the
un | a
uno | a
una | a
ma | but
ed | and
se | if
perché | why, because
anche | also
come | how
dov | where (as dov')
dove | where
che | who, that
chi | who
cui | whom
non | not
più | more
quale | who, that
quanto | how much
quanti |
quanta |
quante |
quello | that
quelli |
quella |
quelle |
questo | this
questi |
questa |
queste |
si | yes
tutto | all
tutti | all
| single letter forms:
a | at
c | as c' for ce or ci
e | and
i | the
l | as l'
o | or
| forms of avere, to have (not including the infinitive):
ho
hai
ha
abbiamo
avete
hanno
abbia
abbiate
abbiano
avrò
avrai
avrà
avremo
avrete
avranno
avrei
avresti
avrebbe
avremmo
avreste
avrebbero
avevo
avevi
aveva
avevamo
avevate
avevano
ebbi
avesti
ebbe
avemmo
aveste
ebbero
avessi
avesse
avessimo
avessero
avendo
avuto
avuta
avuti
avute
| forms of essere, to be (not including the infinitive):
sono
sei
è
siamo
siete
sia
siate
siano
sarò
sarai
sarà
saremo
sarete
saranno
sarei
saresti
sarebbe
saremmo
sareste
sarebbero
ero
eri
era
eravamo
eravate
erano
fui
fosti
fu
fummo
foste
furono
fossi
fosse
fossimo
fossero
essendo
| forms of fare, to do (not including the infinitive, fa, fat-):
faccio
fai
facciamo
fanno
faccia
facciate
facciano
farò
farai
farà
faremo
farete
faranno
farei
faresti
farebbe
faremmo
fareste
farebbero
facevo
facevi
faceva
facevamo
facevate
facevano
feci
facesti
fece
facemmo
faceste
fecero
facessi
facesse
facessimo
facessero
facendo
| forms of stare, to be (not including the infinitive):
sto
stai
sta
stiamo
stanno
stia
stiate
stiano
starò
starai
starà
staremo
starete
staranno
starei
staresti
starebbe
staremmo
stareste
starebbero
stavo
stavi
stava
stavamo
stavate
stavano
stetti
stesti
stette
stemmo
steste
stettero
stessi
stesse
stessimo
stessero
stando

122
solr/example/solr/conf/lang/stopwords_ja.txt Normal file
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#
# This file defines a stopword set for Japanese.
#
# The set is made up hand-picked frequent terms from taken from segmented Japanese
# Wikipedia. Punctuation characters and frequent kanji have mostly been left out.
#
# There is an overlap between these stopwords and the terms removed when used in
# combination with the KuromojiPartOfSpeechStopFilter. When editing this file, note
# that comments are not allowed on the same line as stopwords.
#
# See LUCENE-3745 for frequency lists, etc. that can be useful for making your own set.
#
の
に
は
を
た
が
で
て
と
し
れ
さ
ある
いる
も
する
から
な
こと
として
い
や
れる
など
なっ
ない
この
ため
その
あっ
よう
また
もの
という
あり
まで
られ
なる
へ
か
だ
これ
によって
により
おり
より
による
ず
なり
られる
において
ば
なかっ
なく
しかし
について
せ
だっ
その後
できる
それ
う
ので
なお
のみ
でき
き
つ
における
および
いう
さらに
でも
ら
たり
その他
に関する
たち
ます
ん
なら
に対して
特に
せる
及び
これら
とき
では
にて
ほか
ながら
うち
そして
とともに
ただし
かつて
それぞれ
または
お
ほど
ものの
に対する
ほとんど
と共に
といった
です
とも
ところ
ここ
##### End of file

172
solr/example/solr/conf/lang/stopwords_lv.txt Normal file
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# Set of Latvian stopwords from A Stemming Algorithm for Latvian, Karlis Kreslins
# the original list of over 800 forms was refined:
# pronouns, adverbs, interjections were removed
#
# prepositions
aiz
ap
ar
apakš
ārpus
augšpus
bez
caur
dēļ
gar
iekš
iz
kopš
labad
lejpus
līdz
no
otrpus
pa
par
pār
pēc
pie
pirms
pret
priekš
starp
šaipus
uz
viņpus
virs
virspus
zem
apakšpus
# Conjunctions
un
bet
jo
ja
ka
lai
tomēr
tikko
turpretī
arī
kaut
gan
tādēļ
tā
ne
tikvien
vien
kā
ir
te
vai
kamēr
# Particles
ar
diezin
droši
diemžēl
nebūt
ik
it
taču
nu
pat
tiklab
iekšpus
nedz
tik
nevis
turpretim
jeb
iekam
iekām
iekāms
kolīdz
līdzko
tiklīdz
jebšu
tālab
tāpēc
nekā
itin
jā
jau
jel
nē
nezin
tad
tikai
vis
tak
iekams
vien
# modal verbs
būt
biju
biji
bija
bijām
bijāt
esmu
esi
esam
esat
būšu
būsi
būs
būsim
būsiet
tikt
tiku
tiki
tika
tikām
tikāt
tieku
tiec
tiek
tiekam
tiekat
tikšu
tiks
tiksim
tiksiet
tapt
tapi
tapāt
topat
tapšu
tapsi
taps
tapsim
tapsiet
kļūt
kļuvu
kļuvi
kļuva
kļuvām
kļuvāt
kļūstu
kļūsti
kļūst
kļūstam
kļūstat
kļūšu
kļūsi
kļūs
kļūsim
kļūsiet
# verbs
varēt
varēju
varējām
varēšu
varēsim
var
varēji
varējāt
varēsi
varēsiet
varat
varēja
varēs

117
solr/example/solr/conf/lang/stopwords_nl.txt Normal file
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| From svn.tartarus.org/snowball/trunk/website/algorithms/dutch/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| A Dutch stop word list. Comments begin with vertical bar. Each stop
| word is at the start of a line.
| This is a ranked list (commonest to rarest) of stopwords derived from
| a large sample of Dutch text.
| Dutch stop words frequently exhibit homonym clashes. These are indicated
| clearly below.
de | the
en | and
van | of, from
ik | I, the ego
te | (1) chez, at etc, (2) to, (3) too
dat | that, which
die | that, those, who, which
in | in, inside
een | a, an, one
hij | he
het | the, it
niet | not, nothing, naught
zijn | (1) to be, being, (2) his, one's, its
is | is
was | (1) was, past tense of all persons sing. of 'zijn' (to be) (2) wax, (3) the washing, (4) rise of river
op | on, upon, at, in, up, used up
aan | on, upon, to (as dative)
met | with, by
als | like, such as, when
voor | (1) before, in front of, (2) furrow
had | had, past tense all persons sing. of 'hebben' (have)
er | there
maar | but, only
om | round, about, for etc
hem | him
dan | then
zou | should/would, past tense all persons sing. of 'zullen'
of | or, whether, if
wat | what, something, anything
mijn | possessive and noun 'mine'
men | people, 'one'
dit | this
zo | so, thus, in this way
door | through by
over | over, across
ze | she, her, they, them
zich | oneself
bij | (1) a bee, (2) by, near, at
ook | also, too
tot | till, until
je | you
mij | me
uit | out of, from
der | Old Dutch form of 'van der' still found in surnames
daar | (1) there, (2) because
haar | (1) her, their, them, (2) hair
naar | (1) unpleasant, unwell etc, (2) towards, (3) as
heb | present first person sing. of 'to have'
hoe | how, why
heeft | present third person sing. of 'to have'
hebben | 'to have' and various parts thereof
deze | this
u | you
want | (1) for, (2) mitten, (3) rigging
nog | yet, still
zal | 'shall', first and third person sing. of verb 'zullen' (will)
me | me
zij | she, they
nu | now
ge | 'thou', still used in Belgium and south Netherlands
geen | none
omdat | because
iets | something, somewhat
worden | to become, grow, get
toch | yet, still
al | all, every, each
waren | (1) 'were' (2) to wander, (3) wares, (3)
veel | much, many
meer | (1) more, (2) lake
doen | to do, to make
toen | then, when
moet | noun 'spot/mote' and present form of 'to must'
ben | (1) am, (2) 'are' in interrogative second person singular of 'to be'
zonder | without
kan | noun 'can' and present form of 'to be able'
hun | their, them
dus | so, consequently
alles | all, everything, anything
onder | under, beneath
ja | yes, of course
eens | once, one day
hier | here
wie | who
werd | imperfect third person sing. of 'become'
altijd | always
doch | yet, but etc
wordt | present third person sing. of 'become'
wezen | (1) to be, (2) 'been' as in 'been fishing', (3) orphans
kunnen | to be able
ons | us/our
zelf | self
tegen | against, towards, at
na | after, near
reeds | already
wil | (1) present tense of 'want', (2) 'will', noun, (3) fender
kon | could; past tense of 'to be able'
niets | nothing
uw | your
iemand | somebody
geweest | been; past participle of 'be'
andere | other

192
solr/example/solr/conf/lang/stopwords_no.txt Normal file
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@ -0,0 +1,192 @@
| From svn.tartarus.org/snowball/trunk/website/algorithms/norwegian/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| A Norwegian stop word list. Comments begin with vertical bar. Each stop
| word is at the start of a line.
| This stop word list is for the dominant bokmål dialect. Words unique
| to nynorsk are marked *.
| Revised by Jan Bruusgaard <Jan.Bruusgaard@ssb.no>, Jan 2005
og | and
i | in
jeg | I
det | it/this/that
at | to (w. inf.)
en | a/an
et | a/an
den | it/this/that
til | to
er | is/am/are
som | who/that
på | on
de | they / you(formal)
med | with
han | he
av | of
ikke | not
ikkje | not *
der | there
så | so
var | was/were
meg | me
seg | you
men | but
ett | one
har | have
om | about
vi | we
min | my
mitt | my
ha | have
hadde | had
hun | she
nå | now
over | over
da | when/as
ved | by/know
fra | from
du | you
ut | out
sin | your
dem | them
oss | us
opp | up
man | you/one
kan | can
hans | his
hvor | where
eller | or
hva | what
skal | shall/must
selv | self (reflective)
sjøl | self (reflective)
her | here
alle | all
vil | will
bli | become
ble | became
blei | became *
blitt | have become
kunne | could
inn | in
når | when
være | be
kom | come
noen | some
noe | some
ville | would
dere | you
som | who/which/that
deres | their/theirs
kun | only/just
ja | yes
etter | after
ned | down
skulle | should
denne | this
for | for/because
deg | you
si | hers/his
sine | hers/his
sitt | hers/his
mot | against
å | to
meget | much
hvorfor | why
dette | this
disse | these/those
uten | without
hvordan | how
ingen | none
din | your
ditt | your
blir | become
samme | same
hvilken | which
hvilke | which (plural)
sånn | such a
inni | inside/within
mellom | between
vår | our
hver | each
hvem | who
vors | us/ours
hvis | whose
både | both
bare | only/just
enn | than
fordi | as/because
før | before
mange | many
også | also
slik | just
vært | been
være | to be
båe | both *
begge | both
siden | since
dykk | your *
dykkar | yours *
dei | they *
deira | them *
deires | theirs *
deim | them *
di | your (fem.) *
då | as/when *
eg | I *
ein | a/an *
eit | a/an *
eitt | a/an *
elles | or *
honom | he *
hjå | at *
ho | she *
hoe | she *
henne | her
hennar | her/hers
hennes | hers
hoss | how *
hossen | how *
ikkje | not *
ingi | noone *
inkje | noone *
korleis | how *
korso | how *
kva | what/which *
kvar | where *
kvarhelst | where *
kven | who/whom *
kvi | why *
kvifor | why *
me | we *
medan | while *
mi | my *
mine | my *
mykje | much *
no | now *
nokon | some (masc./neut.) *
noka | some (fem.) *
nokor | some *
noko | some *
nokre | some *
si | his/hers *
sia | since *
sidan | since *
so | so *
somt | some *
somme | some *
um | about*
upp | up *
vere | be *
vore | was *
verte | become *
vort | become *
varte | became *
vart | became *

251
solr/example/solr/conf/lang/stopwords_pt.txt Normal file
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@ -0,0 +1,251 @@
| From svn.tartarus.org/snowball/trunk/website/algorithms/portuguese/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| A Portuguese stop word list. Comments begin with vertical bar. Each stop
| word is at the start of a line.
| The following is a ranked list (commonest to rarest) of stopwords
| deriving from a large sample of text.
| Extra words have been added at the end.
de | of, from
a | the; to, at; her
o | the; him
que | who, that
e | and
do | de + o
da | de + a
em | in
um | a
para | for
| é from SER
com | with
não | not, no
uma | a
os | the; them
no | em + o
se | himself etc
na | em + a
por | for
mais | more
as | the; them
dos | de + os
como | as, like
mas | but
| foi from SER
ao | a + o
ele | he
das | de + as
| tem from TER
à | a + a
seu | his
sua | her
ou | or
| ser from SER
quando | when
muito | much
| há from HAV
nos | em + os; us
já | already, now
| está from EST
eu | I
também | also
só | only, just
pelo | per + o
pela | per + a
até | up to
isso | that
ela | he
entre | between
| era from SER
depois | after
sem | without
mesmo | same
aos | a + os
| ter from TER
seus | his
quem | whom
nas | em + as
me | me
esse | that
eles | they
| estão from EST
você | you
| tinha from TER
| foram from SER
essa | that
num | em + um
nem | nor
suas | her
meu | my
às | a + as
minha | my
| têm from TER
numa | em + uma
pelos | per + os
elas | they
| havia from HAV
| seja from SER
qual | which
| será from SER
nós | we
| tenho from TER
lhe | to him, her
deles | of them
essas | those
esses | those
pelas | per + as
este | this
| fosse from SER
dele | of him
| other words. There are many contractions such as naquele = em+aquele,
| mo = me+o, but they are rare.
| Indefinite article plural forms are also rare.
tu | thou
te | thee
vocês | you (plural)
vos | you
lhes | to them
meus | my
minhas
teu | thy
tua
teus
tuas
nosso | our
nossa
nossos
nossas
dela | of her
delas | of them
esta | this
estes | these
estas | these
aquele | that
aquela | that
aqueles | those
aquelas | those
isto | this
aquilo | that
| forms of estar, to be (not including the infinitive):
estou
está
estamos
estão
estive
esteve
estivemos
estiveram
estava
estávamos
estavam
estivera
estivéramos
esteja
estejamos
estejam
estivesse
estivéssemos
estivessem
estiver
estivermos
estiverem
| forms of haver, to have (not including the infinitive):
hei
há
havemos
hão
houve
houvemos
houveram
houvera
houvéramos
haja
hajamos
hajam
houvesse
houvéssemos
houvessem
houver
houvermos
houverem
houverei
houverá
houveremos
houverão
houveria
houveríamos
houveriam
| forms of ser, to be (not including the infinitive):
sou
somos
são
era
éramos
eram
fui
foi
fomos
foram
fora
fôramos
seja
sejamos
sejam
fosse
fôssemos
fossem
for
formos
forem
serei
será
seremos
serão
seria
seríamos
seriam
| forms of ter, to have (not including the infinitive):
tenho
tem
temos
tém
tinha
tínhamos
tinham
tive
teve
tivemos
tiveram
tivera
tivéramos
tenha
tenhamos
tenham
tivesse
tivéssemos
tivessem
tiver
tivermos
tiverem
terei
terá
teremos
terão
teria
teríamos
teriam

233
solr/example/solr/conf/lang/stopwords_ro.txt Normal file
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@ -0,0 +1,233 @@
# This file was created by Jacques Savoy and is distributed under the BSD license.
# See http://members.unine.ch/jacques.savoy/clef/index.html.
# Also see http://www.opensource.org/licenses/bsd-license.html
acea
aceasta
această
aceea
acei
aceia
acel
acela
acele
acelea
acest
acesta
aceste
acestea
aceşti
aceştia
acolo
acum
ai
aia
aibă
aici
al
ăla
ale
alea
ălea
altceva
altcineva
am
ar
are
aş
aşadar
asemenea
asta
ăsta
astăzi
astea
ăstea
ăştia
asupra
aţi
au
avea
avem
aveţi
azi
bine
bucur
bună
ca
că
căci
când
care
cărei
căror
cărui
cât
câte
câţi
către
câtva
ce
cel
ceva
chiar
cînd
cine
cineva
cît
cîte
cîţi
cîtva
contra
cu
cum
cumva
curând
curînd
da
dă
dacă
dar
datorită
de
deci
deja
deoarece
departe
deşi
din
dinaintea
dintr
dintre
drept
după
ea
ei
el
ele
eram
este
eşti
eu
face
fără
fi
fie
fiecare
fii
fim
fiţi
iar
ieri
îi
îl
îmi
împotriva
în
înainte
înaintea
încât
încît
încotro
între
întrucât
întrucît
îţi
la
lângă
le
li
lîngă
lor
lui
mă
mâine
mea
mei
mele
mereu
meu
mi
mine
mult
multă
mulţi
ne
nicăieri
nici
nimeni
nişte
noastră
noastre
noi
noştri
nostru
nu
ori
oricând
oricare
oricât
orice
oricînd
oricine
oricît
oricum
oriunde
până
pe
pentru
peste
pînă
poate
pot
prea
prima
primul
prin
printr
sa
să
săi
sale
sau
său
se
şi
sînt
sîntem
sînteţi
spre
sub
sunt
suntem
sunteţi
ta
tăi
tale
tău
te
ţi
ţie
tine
toată
toate
tot
toţi
totuşi
tu
un
una
unde
undeva
unei
unele
uneori
unor
vă
vi
voastră
voastre
voi
voştri
vostru
vouă
vreo
vreun

241
solr/example/solr/conf/lang/stopwords_ru.txt Normal file
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@ -0,0 +1,241 @@
| From svn.tartarus.org/snowball/trunk/website/algorithms/russian/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| a russian stop word list. comments begin with vertical bar. each stop
| word is at the start of a line.
| this is a ranked list (commonest to rarest) of stopwords derived from
| a large text sample.
| letter `ё' is translated to `е'.
и | and
в | in/into
во | alternative form
не | not
что | what/that
он | he
на | on/onto
я | i
с | from
со | alternative form
как | how
а | milder form of `no' (but)
то | conjunction and form of `that'
все | all
она | she
так | so, thus
его | him
но | but
да | yes/and
ты | thou
к | towards, by
у | around, chez
же | intensifier particle
вы | you
за | beyond, behind
бы | conditional/subj. particle
по | up to, along
только | only
ее | her
мне | to me
было | it was
вот | here is/are, particle
от | away from
меня | me
еще | still, yet, more
нет | no, there isnt/arent
о | about
из | out of
ему | to him
теперь | now
когда | when
даже | even
ну | so, well
вдруг | suddenly
ли | interrogative particle
если | if
уже | already, but homonym of `narrower'
или | or
ни | neither
быть | to be
был | he was
него | prepositional form of его
до | up to
вас | you accusative
нибудь | indef. suffix preceded by hyphen
опять | again
уж | already, but homonym of `adder'
вам | to you
сказал | he said
ведь | particle `after all'
там | there
потом | then
себя | oneself
ничего | nothing
ей | to her
может | usually with `быть' as `maybe'
они | they
тут | here
где | where
есть | there is/are
надо | got to, must
ней | prepositional form of ей
для | for
мы | we
тебя | thee
их | them, their
чем | than
была | she was
сам | self
чтоб | in order to
без | without
будто | as if
человек | man, person, one
чего | genitive form of `what'
раз | once
тоже | also
себе | to oneself
под | beneath
жизнь | life
будет | will be
ж | short form of intensifer particle `же'
тогда | then
кто | who
этот | this
говорил | was saying
того | genitive form of `that'
потому | for that reason
этого | genitive form of `this'
какой | which
совсем | altogether
ним | prepositional form of `его', `они'
здесь | here
этом | prepositional form of `этот'
один | one
почти | almost
мой | my
тем | instrumental/dative plural of `тот', `то'
чтобы | full form of `in order that'
нее | her (acc.)
кажется | it seems
сейчас | now
были | they were
куда | where to
зачем | why
сказать | to say
всех | all (acc., gen. preposn. plural)
никогда | never
сегодня | today
можно | possible, one can
при | by
наконец | finally
два | two
об | alternative form of `о', about
другой | another
хоть | even
после | after
над | above
больше | more
тот | that one (masc.)
через | across, in
эти | these
нас | us
про | about
всего | in all, only, of all
них | prepositional form of `они' (they)
какая | which, feminine
много | lots
разве | interrogative particle
сказала | she said
три | three
эту | this, acc. fem. sing.
моя | my, feminine
впрочем | moreover, besides
хорошо | good
свою | ones own, acc. fem. sing.
этой | oblique form of `эта', fem. `this'
перед | in front of
иногда | sometimes
лучше | better
чуть | a little
том | preposn. form of `that one'
нельзя | one must not
такой | such a one
им | to them
более | more
всегда | always
конечно | of course
всю | acc. fem. sing of `all'
между | between
| b: some paradigms
|
| personal pronouns
|
| я меня мне мной [мною]
| ты тебя тебе тобой [тобою]
| он его ему им [него, нему, ним]
| она ее эи ею [нее, нэи, нею]
| оно его ему им [него, нему, ним]
|
| мы нас нам нами
| вы вас вам вами
| они их им ими [них, ним, ними]
|
| себя себе собой [собою]
|
| demonstrative pronouns: этот (this), тот (that)
|
| этот эта это эти
| этого эты это эти
| этого этой этого этих
| этому этой этому этим
| этим этой этим [этою] этими
| этом этой этом этих
|
| тот та то те
| того ту то те
| того той того тех
| тому той тому тем
| тем той тем [тою] теми
| том той том тех
|
| determinative pronouns
|
| (a) весь (all)
|
| весь вся все все
| всего всю все все
| всего всей всего всех
| всему всей всему всем
| всем всей всем [всею] всеми
| всем всей всем всех
|
| (b) сам (himself etc)
|
| сам сама само сами
| самого саму само самих
| самого самой самого самих
| самому самой самому самим
| самим самой самим [самою] самими
| самом самой самом самих
|
| stems of verbs `to be', `to have', `to do' and modal
|
| быть бы буд быв есть суть
| име
| дел
| мог мож мочь
| уме
| хоч хот
| долж
| можн
| нужн
| нельзя

131
solr/example/solr/conf/lang/stopwords_sv.txt Normal file
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@ -0,0 +1,131 @@
| From svn.tartarus.org/snowball/trunk/website/algorithms/swedish/stop.txt
| This file is distributed under the BSD License.
| See http://snowball.tartarus.org/license.php
| Also see http://www.opensource.org/licenses/bsd-license.html
| - Encoding was converted to UTF-8.
| - This notice was added.
| A Swedish stop word list. Comments begin with vertical bar. Each stop
| word is at the start of a line.
| This is a ranked list (commonest to rarest) of stopwords derived from
| a large text sample.
| Swedish stop words occasionally exhibit homonym clashes. For example
| så = so, but also seed. These are indicated clearly below.
och | and
det | it, this/that
att | to (with infinitive)
i | in, at
en | a
jag | I
hon | she
som | who, that
han | he
på | on
den | it, this/that
med | with
var | where, each
sig | him(self) etc
för | for
så | so (also: seed)
till | to
är | is
men | but
ett | a
om | if; around, about
hade | had
de | they, these/those
av | of
icke | not, no
mig | me
du | you
henne | her
då | then, when
sin | his
nu | now
har | have
inte | inte någon = no one
hans | his
honom | him
skulle | 'sake'
hennes | her
där | there
min | my
man | one (pronoun)
ej | nor
vid | at, by, on (also: vast)
kunde | could
något | some etc
från | from, off
ut | out
när | when
efter | after, behind
upp | up
vi | we
dem | them
vara | be
vad | what
över | over
än | than
dig | you
kan | can
sina | his
här | here
ha | have
mot | towards
alla | all
under | under (also: wonder)
någon | some etc
eller | or (else)
allt | all
mycket | much
sedan | since
ju | why
denna | this/that
själv | myself, yourself etc
detta | this/that
åt | to
utan | without
varit | was
hur | how
ingen | no
mitt | my
ni | you
bli | to be, become
blev | from bli
oss | us
din | thy
dessa | these/those
några | some etc
deras | their
blir | from bli
mina | my
samma | (the) same
vilken | who, that
er | you, your
sådan | such a
vår | our
blivit | from bli
dess | its
inom | within
mellan | between
sådant | such a
varför | why
varje | each
vilka | who, that
ditt | thy
vem | who
vilket | who, that
sitta | his
sådana | such a
vart | each
dina | thy
vars | whose
vårt | our
våra | our
ert | your
era | your
vilkas | whose

119
solr/example/solr/conf/lang/stopwords_th.txt Normal file
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@ -0,0 +1,119 @@
# Thai stopwords from:
# "Opinion Detection in Thai Political News Columns
# Based on Subjectivity Analysis"
# Khampol Sukhum, Supot Nitsuwat, and Choochart Haruechaiyasak
ไว้
ไม่
ไป
ได้
ให้
ใน
โดย
แห่ง
แล้ว
และ
แรก
แบบ
แต่
เอง
เห็น
เลย
เริ่ม
เรา
เมื่อ
เพื่อ
เพราะ
เป็นการ
เป็น
เปิดเผย
เปิด
เนื่องจาก
เดียวกัน
เดียว
เช่น
เฉพาะ
เคย
เข้า
เขา
อีก
อาจ
อะไร
ออก
อย่าง
อยู่
อยาก
หาก
หลาย
หลังจาก
หลัง
หรือ
หนึ่ง
ส่วน
ส่ง
สุด
สําหรับ
ว่า
วัน
ลง
ร่วม
ราย
รับ
ระหว่าง
รวม
ยัง
มี
มาก
มา
พร้อม
พบ
ผ่าน
ผล
บาง
น่า
นี้
นํา
นั้น
นัก
นอกจาก
ทุก
ที่สุด
ที่
ทําให้
ทํา
ทาง
ทั้งนี้
ทั้ง
ถ้า
ถูก
ถึง
ต้อง
ต่างๆ
ต่าง
ต่อ
ตาม
ตั้งแต่
ตั้ง
ด้าน
ด้วย
ดัง
ซึ่ง
ช่วง
จึง
จาก
จัด
จะ
คือ
ความ
ครั้ง
คง
ขึ้น
ของ
ขอ
ขณะ
ก่อน
ก็
การ
กับ
กัน
กว่า
กล่าว

212
solr/example/solr/conf/lang/stopwords_tr.txt Normal file
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@ -0,0 +1,212 @@
# Turkish stopwords from LUCENE-559
# merged with the list from "Information Retrieval on Turkish Texts"
# (http://www.users.muohio.edu/canf/papers/JASIST2008offPrint.pdf)
acaba
altmış
altı
ama
ancak
arada
aslında
ayrıca
bana
bazı
belki
ben
benden
beni
benim
beri
beş
bile
bin
bir
birçok
biri
birkaç
birkez
birşey
birşeyi
biz
bize
bizden
bizi
bizim
böyle
böylece
bu
buna
bunda
bundan
bunlar
bunları
bunların
bunu
bunun
burada
çok
çünkü
da
daha
dahi
de
defa
değil
diğer
diye
doksan
dokuz
dolayı
dolayısıyla
dört
edecek
eden
ederek
edilecek
ediliyor
edilmesi
ediyor
eğer
elli
en
etmesi
etti
ettiği
ettiğini
gibi
göre
halen
hangi
hatta
hem
henüz
hep
hepsi
her
herhangi
herkesin
hiç
hiçbir
için
iki
ile
ilgili
ise
işte
itibaren
itibariyle
kadar
karşın
katrilyon
kendi
kendilerine
kendini
kendisi
kendisine
kendisini
kez
ki
kim
kimden
kime
kimi
kimse
kırk
milyar
milyon
mu
mü
mı
nasıl
ne
neden
nedenle
nerde
nerede
nereye
niye
niçin
o
olan
olarak
oldu
olduğu
olduğunu
olduklarını
olmadı
olmadığı
olmak
olması
olmayan
olmaz
olsa
olsun
olup
olur
olursa
oluyor
on
ona
ondan
onlar
onlardan
onları
onların
onu
onun
otuz
oysa
öyle
pek
rağmen
sadece
sanki
sekiz
seksen
sen
senden
seni
senin
siz
sizden
sizi
sizin
şey
şeyden
şeyi
şeyler
şöyle
şu
şuna
şunda
şundan
şunları
şunu
tarafından
trilyon
tüm
üç
üzere
var
vardı
ve
veya
ya
yani
yapacak
yapılan
yapılması
yapıyor
yapmak
yaptı
yaptığı
yaptığını
yaptıkları
yedi
yerine
yetmiş
yine
yirmi
yoksa
yüz
zaten

329
solr/example/solr/conf/schema.xml
View File

@ -219,7 +219,7 @@
<!-- A text field with defaults appropriate for English: it
tokenizes with StandardTokenizer, removes English stop words
(stopwords_en.txt), down cases, protects words from protwords.txt, and
(lang/stopwords_en.txt), down cases, protects words from protwords.txt, and
finally applies Porter's stemming. The query time analyzer
also applies synonyms from synonyms.txt. -->
<fieldType name="text_en" class="solr.TextField" positionIncrementGap="100">
@ -234,7 +234,7 @@
-->
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords_en.txt"
words="lang/stopwords_en.txt"
enablePositionIncrements="true"
/>
<filter class="solr.LowerCaseFilterFactory"/>
@ -250,7 +250,7 @@
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords_en.txt"
words="lang/stopwords_en.txt"
enablePositionIncrements="true"
/>
<filter class="solr.LowerCaseFilterFactory"/>
@ -287,7 +287,7 @@
-->
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords_en.txt"
words="lang/stopwords_en.txt"
enablePositionIncrements="true"
/>
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/>
@ -300,7 +300,7 @@
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords_en.txt"
words="lang/stopwords_en.txt"
enablePositionIncrements="true"
/>
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/>
@ -316,7 +316,7 @@
<analyzer>
<tokenizer class="solr.WhitespaceTokenizerFactory"/>
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords_en.txt"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_en.txt"/>
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="0" generateNumberParts="0" catenateWords="1" catenateNumbers="1" catenateAll="0"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.KeywordMarkerFilterFactory" protected="protwords.txt"/>
@ -454,6 +454,323 @@
-->
<fieldtype name="geohash" class="solr.GeoHashField"/>
<!-- some examples for different languages (generally ordered by ISO code) -->
<!-- Arabic -->
<fieldType name="text_ar" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<!-- for any non-arabic -->
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ar.txt" enablePositionIncrements="true"/>
<!-- normalizes ﻯ to ﻱ, etc -->
<filter class="solr.ArabicNormalizationFilterFactory"/>
<filter class="solr.ArabicStemFilterFactory"/>
</analyzer>
</fieldType>
<!-- Bulgarian -->
<fieldType name="text_bg" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_bg.txt" enablePositionIncrements="true"/>
<filter class="solr.BulgarianStemFilterFactory"/>
</analyzer>
</fieldType>
<!-- Catalan -->
<fieldType name="text_ca" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<!-- removes l', etc -->
<filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_ca.txt"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ca.txt" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Catalan"/>
</analyzer>
</fieldType>
<!-- CJK bigram (see text_ja for an alternative Japanese configuration) -->
<fieldType name="text_cjk" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<!-- normalize width before bigram, as e.g. half-width dakuten combine -->
<filter class="solr.CJKWidthFilterFactory"/>
<!-- for any non-CJK -->
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.CJKBigramFilterFactory"/>
</analyzer>
</fieldType>
<!-- Czech -->
<fieldType name="text_cz" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_cz.txt" enablePositionIncrements="true"/>
<filter class="solr.CzechStemFilterFactory"/>
</analyzer>
</fieldType>
<!-- Danish -->
<fieldType name="text_da" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_da.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Danish"/>
</analyzer>
</fieldType>
<!-- German -->
<fieldType name="text_de" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_de.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.GermanNormalizationFilterFactory"/>
<filter class="solr.GermanLightStemFilterFactory"/>
<!-- less aggressive: <filter class="solr.GermanMinimalStemFilterFactory"/> -->
<!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="German2"/> -->
</analyzer>
</fieldType>
<!-- Greek -->
<fieldType name="text_el" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<!-- greek specific lowercase for sigma -->
<filter class="solr.GreekLowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_el.txt" enablePositionIncrements="true"/>
<filter class="solr.GreekStemFilterFactory"/>
</analyzer>
</fieldType>
<!-- Spanish -->
<fieldType name="text_es" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_es.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.SpanishLightStemFilterFactory"/>
<!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Spanish"/> -->
</analyzer>
</fieldType>
<!-- Basque -->
<fieldType name="text_eu" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_eu.txt" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Basque"/>
</analyzer>
</fieldType>
<!-- Persian -->
<fieldType name="text_fa" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<!-- for ZWNJ -->
<charFilter class="solr.PersianCharFilterFactory"/>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.ArabicNormalizationFilterFactory"/>
<filter class="solr.PersianNormalizationFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fa.txt" enablePositionIncrements="true"/>
</analyzer>
</fieldType>
<!-- Finnish -->
<fieldType name="text_fi" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fi.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Finnish"/>
<!-- less aggressive: <filter class="solr.FinnishLightStemFilterFactory"/> -->
</analyzer>
</fieldType>
<!-- French -->
<fieldType name="text_fr" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<!-- removes l', etc -->
<filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_fr.txt"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_fr.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.FrenchLightStemFilterFactory"/>
<!-- less aggressive: <filter class="solr.FrenchMinimalStemFilterFactory"/> -->
<!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="French"/> -->
</analyzer>
</fieldType>
<!-- Galician -->
<fieldType name="text_gl" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_gl.txt" enablePositionIncrements="true"/>
<filter class="solr.GalicianStemFilterFactory"/>
<!-- less aggressive: <filter class="solr.GalicianMinimalStemFilterFactory"/> -->
</analyzer>
</fieldType>
<!-- Hindi -->
<fieldType name="text_hi" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<!-- normalizes unicode representation -->
<filter class="solr.IndicNormalizationFilterFactory"/>
<!-- normalizes variation in spelling -->
<filter class="solr.HindiNormalizationFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hi.txt" enablePositionIncrements="true"/>
<filter class="solr.HindiStemFilterFactory"/>
</analyzer>
</fieldType>
<!-- Hungarian -->
<fieldType name="text_hu" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hu.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Hungarian"/>
<!-- less aggressive: <filter class="solr.HungarianLightStemFilterFactory"/> -->
</analyzer>
</fieldType>
<!-- Armenian -->
<fieldType name="text_hy" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_hy.txt" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Armenian"/>
</analyzer>
</fieldType>
<!-- Indonesian -->
<fieldType name="text_id" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_id.txt" enablePositionIncrements="true"/>
<!-- for a less aggressive approach (only inflectional suffixes), set stemDerivational to false -->
<filter class="solr.IndonesianStemFilterFactory" stemDerivational="true"/>
</analyzer>
</fieldType>
<!-- Italian -->
<fieldType name="text_it" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<!-- removes l', etc -->
<filter class="solr.ElisionFilterFactory" ignoreCase="true" articles="lang/contractions_it.txt"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_it.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.ItalianLightStemFilterFactory"/>
<!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Italian"/> -->
</analyzer>
</fieldType>
<!-- Latvian -->
<fieldType name="text_lv" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_lv.txt" enablePositionIncrements="true"/>
<filter class="solr.LatvianStemFilterFactory"/>
</analyzer>
</fieldType>
<!-- Dutch -->
<fieldType name="text_nl" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_nl.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.StemmerOverrideFilterFactory" dictionary="lang/stemdict_nl.txt" ignoreCase="false"/>
<filter class="solr.SnowballPorterFilterFactory" language="Dutch"/>
</analyzer>
</fieldType>
<!-- Norwegian -->
<fieldType name="text_no" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_no.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Norwegian"/>
</analyzer>
</fieldType>
<!-- Portuguese -->
<fieldType name="text_pt" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_pt.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.PortugueseLightStemFilterFactory"/>
<!-- less aggressive: <filter class="solr.PortugueseMinimalStemFilterFactory"/> -->
<!-- more aggressive: <filter class="solr.SnowballPorterFilterFactory" language="Portuguese"/> -->
<!-- most aggressive: <filter class="solr.PortugueseStemFilterFactory"/> -->
</analyzer>
</fieldType>
<!-- Romanian -->
<fieldType name="text_ro" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ro.txt" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Romanian"/>
</analyzer>
</fieldType>
<!-- Russian -->
<fieldType name="text_ru" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_ru.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Russian"/>
<!-- less aggressive: <filter class="solr.RussianLightStemFilterFactory"/> -->
</analyzer>
</fieldType>
<!-- Swedish -->
<fieldType name="text_sv" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_sv.txt" format="snowball" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Swedish"/>
<!-- less aggressive: <filter class="solr.SwedishLightStemFilterFactory"/> -->
</analyzer>
</fieldType>
<!-- Thai -->
<fieldType name="text_th" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.ThaiWordFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="true" words="lang/stopwords_th.txt" enablePositionIncrements="true"/>
</analyzer>
</fieldType>
<!-- Turkish -->
<fieldType name="text_tr" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.StandardTokenizerFactory"/>
<filter class="solr.TurkishLowerCaseFilterFactory"/>
<filter class="solr.StopFilterFactory" ignoreCase="false" words="lang/stopwords_tr.txt" enablePositionIncrements="true"/>
<filter class="solr.SnowballPorterFilterFactory" language="Turkish"/>
</analyzer>
</fieldType>
</types>