package org.apache.lucene.analysis.compound;
/**
* 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.InputStreamReader;
import java.io.Reader;
import java.io.StringReader;
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.compound.hyphenation.HyphenationTree;
import org.apache.lucene.analysis.core.WhitespaceTokenizer;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
public class TestCompoundWordTokenFilter extends BaseTokenStreamTestCase {
public void testHyphenationCompoundWordsDA() throws Exception {
String[] dict = { "læse", "hest" };
Reader reader = getHyphenationReader();
HyphenationTree hyphenator = HyphenationCompoundWordTokenFilter
.getHyphenationTree(reader);
HyphenationCompoundWordTokenFilter tf = new HyphenationCompoundWordTokenFilter(TEST_VERSION_CURRENT,
new WhitespaceTokenizer(TEST_VERSION_CURRENT, new StringReader(
"min veninde som er lidt af en læsehest")), hyphenator,
dict, CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MAX_SUBWORD_SIZE, false);
assertTokenStreamContents(tf,
new String[] { "min", "veninde", "som", "er", "lidt", "af", "en", "læsehest", "læse", "hest" },
new int[] { 1, 1, 1, 1, 1, 1, 1, 1, 0, 0 }
);
}
public void testHyphenationCompoundWordsDELongestMatch() throws Exception {
String[] dict = { "basketball", "basket", "ball", "kurv" };
Reader reader = getHyphenationReader();
HyphenationTree hyphenator = HyphenationCompoundWordTokenFilter
.getHyphenationTree(reader);
// the word basket will not be added due to the longest match option
HyphenationCompoundWordTokenFilter tf = new HyphenationCompoundWordTokenFilter(TEST_VERSION_CURRENT,
new WhitespaceTokenizer(TEST_VERSION_CURRENT, new StringReader(
"basketballkurv")), hyphenator, dict,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE, 40, true);
assertTokenStreamContents(tf,
new String[] { "basketballkurv", "basketball", "ball", "kurv" },
new int[] { 1, 0, 0, 0 }
);
}
/**
* With hyphenation-only, you can get a lot of nonsense tokens.
* This can be controlled with the min/max subword size.
*/
public void testHyphenationOnly() throws Exception {
Reader reader = getHyphenationReader();
HyphenationTree hyphenator = HyphenationCompoundWordTokenFilter
.getHyphenationTree(reader);
HyphenationCompoundWordTokenFilter tf = new HyphenationCompoundWordTokenFilter(
TEST_VERSION_CURRENT,
new WhitespaceTokenizer(TEST_VERSION_CURRENT, new StringReader("basketballkurv")),
hyphenator,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
2, 4);
// min=2, max=4
assertTokenStreamContents(tf,
new String[] { "basketballkurv", "ba", "sket", "bal", "ball", "kurv" }
);
tf = new HyphenationCompoundWordTokenFilter(
TEST_VERSION_CURRENT,
new WhitespaceTokenizer(TEST_VERSION_CURRENT, new StringReader("basketballkurv")),
hyphenator,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
4, 6);
// min=4, max=6
assertTokenStreamContents(tf,
new String[] { "basketballkurv", "basket", "sket", "ball", "lkurv", "kurv" }
);
tf = new HyphenationCompoundWordTokenFilter(
TEST_VERSION_CURRENT,
new WhitespaceTokenizer(TEST_VERSION_CURRENT, new StringReader("basketballkurv")),
hyphenator,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
4, 10);
// min=4, max=10
assertTokenStreamContents(tf,
new String[] { "basketballkurv", "basket", "basketbal", "basketball", "sket",
"sketbal", "sketball", "ball", "ballkurv", "lkurv", "kurv" }
);
}
public void testDumbCompoundWordsSE() throws Exception {
String[] dict = { "Bil", "Dörr", "Motor", "Tak", "Borr", "Slag", "Hammar",
"Pelar", "Glas", "Ögon", "Fodral", "Bas", "Fiol", "Makare", "Gesäll",
"Sko", "Vind", "Rute", "Torkare", "Blad" };
DictionaryCompoundWordTokenFilter tf = new DictionaryCompoundWordTokenFilter(TEST_VERSION_CURRENT,
new WhitespaceTokenizer(TEST_VERSION_CURRENT,
new StringReader(
"Bildörr Bilmotor Biltak Slagborr Hammarborr Pelarborr Glasögonfodral Basfiolsfodral Basfiolsfodralmakaregesäll Skomakare Vindrutetorkare Vindrutetorkarblad abba")),
dict);
assertTokenStreamContents(tf, new String[] { "Bildörr", "Bil", "dörr", "Bilmotor",
"Bil", "motor", "Biltak", "Bil", "tak", "Slagborr", "Slag", "borr",
"Hammarborr", "Hammar", "borr", "Pelarborr", "Pelar", "borr",
"Glasögonfodral", "Glas", "ögon", "fodral", "Basfiolsfodral", "Bas",
"fiol", "fodral", "Basfiolsfodralmakaregesäll", "Bas", "fiol",
"fodral", "makare", "gesäll", "Skomakare", "Sko", "makare",
"Vindrutetorkare", "Vind", "rute", "torkare", "Vindrutetorkarblad",
"Vind", "rute", "blad", "abba" }, new int[] { 0, 0, 3, 8, 8, 11, 17,
17, 20, 24, 24, 28, 33, 33, 39, 44, 44, 49, 54, 54, 58, 62, 69, 69, 72,
77, 84, 84, 87, 92, 98, 104, 111, 111, 114, 121, 121, 125, 129, 137,
137, 141, 151, 156 }, new int[] { 7, 3, 7, 16, 11, 16, 23, 20, 23, 32,
28, 32, 43, 39, 43, 53, 49, 53, 68, 58, 62, 68, 83, 72, 76, 83, 110,
87, 91, 98, 104, 110, 120, 114, 120, 136, 125, 129, 136, 155, 141, 145,
155, 160 }, new int[] { 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1,
0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1,
0, 0, 0, 1 });
}
public void testDumbCompoundWordsSELongestMatch() throws Exception {
String[] dict = { "Bil", "Dörr", "Motor", "Tak", "Borr", "Slag", "Hammar",
"Pelar", "Glas", "Ögon", "Fodral", "Bas", "Fiols", "Makare", "Gesäll",
"Sko", "Vind", "Rute", "Torkare", "Blad", "Fiolsfodral" };
DictionaryCompoundWordTokenFilter tf = new DictionaryCompoundWordTokenFilter(TEST_VERSION_CURRENT,
new WhitespaceTokenizer(TEST_VERSION_CURRENT, new StringReader("Basfiolsfodralmakaregesäll")),
dict, CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MAX_SUBWORD_SIZE, true);
assertTokenStreamContents(tf, new String[] { "Basfiolsfodralmakaregesäll", "Bas",
"fiolsfodral", "fodral", "makare", "gesäll" }, new int[] { 0, 0, 3, 8,
14, 20 }, new int[] { 26, 3, 14, 14, 20, 26 }, new int[] { 1, 0, 0, 0,
0, 0 });
}
public void testReset() throws Exception {
String[] dict = { "Rind", "Fleisch", "Draht", "Schere", "Gesetz",
"Aufgabe", "Überwachung" };
Tokenizer wsTokenizer = new WhitespaceTokenizer(TEST_VERSION_CURRENT, new StringReader(
"Rindfleischüberwachungsgesetz"));
DictionaryCompoundWordTokenFilter tf = new DictionaryCompoundWordTokenFilter(TEST_VERSION_CURRENT,
wsTokenizer, dict,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MAX_SUBWORD_SIZE, false);
CharTermAttribute termAtt = tf.getAttribute(CharTermAttribute.class);
assertTrue(tf.incrementToken());
assertEquals("Rindfleischüberwachungsgesetz", termAtt.toString());
assertTrue(tf.incrementToken());
assertEquals("Rind", termAtt.toString());
wsTokenizer.reset(new StringReader("Rindfleischüberwachungsgesetz"));
tf.reset();
assertTrue(tf.incrementToken());
assertEquals("Rindfleischüberwachungsgesetz", termAtt.toString());
}
private Reader getHyphenationReader() throws Exception {
return new InputStreamReader(getClass().getResourceAsStream("da_UTF8.xml"), "UTF-8");
}
}