| /* |
| * 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 BigramNameFeatureGeneratorTest { |
| |
| 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 testBegin() { |
| |
| final int testTokenIndex = 0; |
| |
| AdaptiveFeatureGenerator generator = new BigramNameFeatureGenerator(); |
| |
| generator.createFeatures(features, testSentence, testTokenIndex, null); |
| |
| Assert.assertEquals(2, features.size()); |
| Assert.assertEquals("w,nw=This,is", features.get(0)); |
| Assert.assertEquals("wc,nc=alpha,alpha", features.get(1)); |
| } |
| |
| @Test |
| public void testMiddle() { |
| |
| final int testTokenIndex = 2; |
| |
| AdaptiveFeatureGenerator generator = new BigramNameFeatureGenerator(); |
| |
| generator.createFeatures(features, testSentence, testTokenIndex, null); |
| |
| Assert.assertEquals(4, features.size()); |
| Assert.assertEquals("pw,w=is,an", features.get(0)); |
| Assert.assertEquals("pwc,wc=alpha,alpha", features.get(1)); |
| Assert.assertEquals("w,nw=an,example", features.get(2)); |
| Assert.assertEquals("wc,nc=alpha,alpha", features.get(3)); |
| } |
| |
| @Test |
| public void testEnd() { |
| |
| final int testTokenIndex = 4; |
| |
| AdaptiveFeatureGenerator generator = new BigramNameFeatureGenerator(); |
| |
| generator.createFeatures(features, testSentence, testTokenIndex, null); |
| |
| Assert.assertEquals(2, features.size()); |
| Assert.assertEquals("pw,w=example,sentence", features.get(0)); |
| Assert.assertEquals("pwc,wc=alpha,alpha", features.get(1)); |
| } |
| |
| @Test |
| public void testShort() { |
| |
| String[] shortSentence = new String[] {"word"}; |
| |
| final int testTokenIndex = 0; |
| |
| AdaptiveFeatureGenerator generator = new BigramNameFeatureGenerator(); |
| |
| generator.createFeatures(features, shortSentence, testTokenIndex, null); |
| |
| Assert.assertEquals(0, features.size()); |
| } |
| } |