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/*
* 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.util.featuregen.lang.jpn;
import java.util.ArrayList;
import java.util.List;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
import opennlp.tools.util.featuregen.AdaptiveFeatureGenerator;
public class TokenClassFeatureGeneratorTest {
private List<String> features;
static String[] testSentence = new String[] {"This", "is", "an", "Example", "sentence"};
@Before
public void setUp() throws Exception {
features = new ArrayList<>();
}
@Test
public void testGenWAC() {
final int testTokenIndex = 3;
AdaptiveFeatureGenerator generator = new TokenClassFeatureGenerator(true);
generator.createFeatures(features, testSentence, testTokenIndex, null);
Assert.assertEquals(2, features.size());
Assert.assertEquals("wc=alpha", features.get(0));
Assert.assertEquals("w&c=example,alpha", features.get(1));
}
@Test
public void testNoWAC() {
final int testTokenIndex = 3;
AdaptiveFeatureGenerator generator = new TokenClassFeatureGenerator(false);
generator.createFeatures(features, testSentence, testTokenIndex, null);
Assert.assertEquals(1, features.size());
Assert.assertEquals("wc=alpha", features.get(0));
}
}