/*
* 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.
*/
package opennlp.tools.tokenize;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.nio.charset.StandardCharsets;
import java.util.regex.Pattern;
import org.junit.Assert;
import org.junit.Test;
import opennlp.tools.dictionary.Dictionary;
import opennlp.tools.formats.ResourceAsStreamFactory;
import opennlp.tools.tokenize.DummyTokenizerFactory.DummyContextGenerator;
import opennlp.tools.tokenize.DummyTokenizerFactory.DummyDictionary;
import opennlp.tools.tokenize.lang.Factory;
import opennlp.tools.util.InputStreamFactory;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.PlainTextByLineStream;
import opennlp.tools.util.TrainingParameters;
/**
* Tests for the {@link TokenizerFactory} class.
*/
public class TokenizerFactoryTest {
private static ObjectStream<TokenSample> createSampleStream()
throws IOException {
InputStreamFactory in = new ResourceAsStreamFactory(
TokenizerFactoryTest.class, "/opennlp/tools/tokenize/token.train");
return new TokenSampleStream(new PlainTextByLineStream(in, StandardCharsets.UTF_8));
}
private static TokenizerModel train(TokenizerFactory factory)
throws IOException {
return TokenizerME.train(createSampleStream(), factory, TrainingParameters.defaultParams());
}
private static Dictionary loadAbbDictionary() throws IOException {
InputStream in = TokenizerFactoryTest.class.getClassLoader()
.getResourceAsStream("opennlp/tools/sentdetect/abb.xml");
return new Dictionary(in);
}
@Test
public void testDefault() throws IOException {
Dictionary dic = loadAbbDictionary();
final String lang = "es";
TokenizerModel model = train(new TokenizerFactory(lang, dic, false, null));
TokenizerFactory factory = model.getFactory();
Assert.assertTrue(factory.getAbbreviationDictionary() != null);
Assert.assertTrue(factory.getContextGenerator() instanceof DefaultTokenContextGenerator);
Assert.assertEquals(Factory.DEFAULT_ALPHANUMERIC, factory.getAlphaNumericPattern().pattern());
Assert.assertEquals(lang, factory.getLanguageCode());
Assert.assertEquals(lang, model.getLanguage());
Assert.assertFalse(factory.isUseAlphaNumericOptmization());
ByteArrayOutputStream out = new ByteArrayOutputStream();
model.serialize(out);
ByteArrayInputStream in = new ByteArrayInputStream(out.toByteArray());
TokenizerModel fromSerialized = new TokenizerModel(in);
factory = fromSerialized.getFactory();
Assert.assertTrue(factory.getAbbreviationDictionary() != null);
Assert.assertTrue(factory.getContextGenerator() instanceof DefaultTokenContextGenerator);
Assert.assertEquals(Factory.DEFAULT_ALPHANUMERIC, factory.getAlphaNumericPattern().pattern());
Assert.assertEquals(lang, factory.getLanguageCode());
Assert.assertEquals(lang, model.getLanguage());
Assert.assertFalse(factory.isUseAlphaNumericOptmization());
}
@Test
public void testNullDict() throws IOException {
Dictionary dic = null;
final String lang = "es";
TokenizerModel model = train(new TokenizerFactory(lang, dic, false, null));
TokenizerFactory factory = model.getFactory();
Assert.assertNull(factory.getAbbreviationDictionary());
Assert.assertTrue(factory.getContextGenerator() instanceof DefaultTokenContextGenerator);
Assert.assertEquals(Factory.DEFAULT_ALPHANUMERIC, factory.getAlphaNumericPattern().pattern());
Assert.assertEquals(lang, factory.getLanguageCode());
Assert.assertEquals(lang, model.getLanguage());
Assert.assertFalse(factory.isUseAlphaNumericOptmization());
ByteArrayOutputStream out = new ByteArrayOutputStream();
model.serialize(out);
ByteArrayInputStream in = new ByteArrayInputStream(out.toByteArray());
TokenizerModel fromSerialized = new TokenizerModel(in);
factory = fromSerialized.getFactory();
Assert.assertNull(factory.getAbbreviationDictionary());
Assert.assertTrue(factory.getContextGenerator() instanceof DefaultTokenContextGenerator);
Assert.assertEquals(Factory.DEFAULT_ALPHANUMERIC, factory.getAlphaNumericPattern().pattern());
Assert.assertEquals(lang, factory.getLanguageCode());
Assert.assertEquals(lang, model.getLanguage());
Assert.assertFalse(factory.isUseAlphaNumericOptmization());
}
@Test
public void testCustomPatternAndAlphaOpt() throws IOException {
Dictionary dic = null;
final String lang = "es";
String pattern = "^[0-9A-Za-z]+$";
TokenizerModel model = train(new TokenizerFactory(lang, dic, true,
Pattern.compile(pattern)));
TokenizerFactory factory = model.getFactory();
Assert.assertNull(factory.getAbbreviationDictionary());
Assert.assertTrue(factory.getContextGenerator() instanceof DefaultTokenContextGenerator);
Assert.assertEquals(pattern, factory.getAlphaNumericPattern().pattern());
Assert.assertEquals(lang, factory.getLanguageCode());
Assert.assertEquals(lang, model.getLanguage());
Assert.assertTrue(factory.isUseAlphaNumericOptmization());
ByteArrayOutputStream out = new ByteArrayOutputStream();
model.serialize(out);
ByteArrayInputStream in = new ByteArrayInputStream(out.toByteArray());
TokenizerModel fromSerialized = new TokenizerModel(in);
factory = fromSerialized.getFactory();
Assert.assertNull(factory.getAbbreviationDictionary());
Assert.assertTrue(factory.getContextGenerator() instanceof DefaultTokenContextGenerator);
Assert.assertEquals(pattern, factory.getAlphaNumericPattern().pattern());
Assert.assertEquals(lang, factory.getLanguageCode());
Assert.assertEquals(lang, model.getLanguage());
Assert.assertTrue(factory.isUseAlphaNumericOptmization());
}
@Test
public void testDummyFactory() throws IOException {
Dictionary dic = loadAbbDictionary();
final String lang = "es";
String pattern = "^[0-9A-Za-z]+$";
TokenizerModel model = train(new DummyTokenizerFactory(lang, dic, true,
Pattern.compile(pattern)));
TokenizerFactory factory = model.getFactory();
Assert.assertTrue(factory.getAbbreviationDictionary() instanceof DummyDictionary);
Assert.assertTrue(factory.getContextGenerator() instanceof DummyContextGenerator);
Assert.assertEquals(pattern, factory.getAlphaNumericPattern().pattern());
Assert.assertEquals(lang, factory.getLanguageCode());
Assert.assertEquals(lang, model.getLanguage());
Assert.assertTrue(factory.isUseAlphaNumericOptmization());
ByteArrayOutputStream out = new ByteArrayOutputStream();
model.serialize(out);
ByteArrayInputStream in = new ByteArrayInputStream(out.toByteArray());
TokenizerModel fromSerialized = new TokenizerModel(in);
factory = fromSerialized.getFactory();
Assert.assertTrue(factory.getAbbreviationDictionary() instanceof DummyDictionary);
Assert.assertTrue(factory.getContextGenerator() instanceof DummyContextGenerator);
Assert.assertEquals(pattern, factory.getAlphaNumericPattern().pattern());
Assert.assertEquals(lang, factory.getLanguageCode());
Assert.assertEquals(lang, model.getLanguage());
Assert.assertTrue(factory.isUseAlphaNumericOptmization());
}
@Test
public void testCreateDummyFactory() throws IOException {
Dictionary dic = loadAbbDictionary();
final String lang = "es";
String pattern = "^[0-9A-Za-z]+$";
TokenizerFactory factory = TokenizerFactory.create(
DummyTokenizerFactory.class.getCanonicalName(), lang, dic, true,
Pattern.compile(pattern));
Assert.assertTrue(factory.getAbbreviationDictionary() instanceof DummyDictionary);
Assert.assertTrue(factory.getContextGenerator() instanceof DummyContextGenerator);
Assert.assertEquals(pattern, factory.getAlphaNumericPattern().pattern());
Assert.assertEquals(lang, factory.getLanguageCode());
Assert.assertTrue(factory.isUseAlphaNumericOptmization());
}
}