/*
* 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.chunker;
import static org.junit.Assert.*;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.util.Arrays;
import java.util.List;
import opennlp.tools.namefind.NameFinderME;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.PlainTextByLineStream;
import opennlp.tools.util.Sequence;
import opennlp.tools.util.Span;
import org.junit.Before;
import org.junit.Test;
/**
* This is the test class for {@link NameFinderME}.
* <p>
* A proper testing and evaluation of the name finder is only possible with a
* large corpus which contains a huge amount of test sentences.
* <p>
* The scope of this test is to make sure that the name finder code can be
* executed. This test can not detect mistakes which lead to incorrect feature
* generation or other mistakes which decrease the tagging performance of the
* name finder.
* <p>
* In this test the {@link NameFinderME} is trained with a small amount of
* training sentences and then the computed model is used to predict sentences
* from the training sentences.
*/
public class ChunkerMETest {
private Chunker chunker;
String[] toks1 = { "Rockwell", "said", "the", "agreement", "calls", "for",
"it", "to", "supply", "200", "additional", "so-called", "shipsets",
"for", "the", "planes", "." };
String[] tags1 = { "NNP", "VBD", "DT", "NN", "VBZ", "IN", "PRP", "TO", "VB",
"CD", "JJ", "JJ", "NNS", "IN", "DT", "NNS", "." };
String[] expect1 = { "B-NP", "B-VP", "B-NP", "I-NP", "B-VP", "B-SBAR",
"B-NP", "B-VP", "I-VP", "B-NP", "I-NP", "I-NP", "I-NP", "B-PP", "B-NP",
"I-NP", "O" };
@Before
public void startup() throws IOException {
// train the chunker
InputStream in = getClass().getClassLoader().getResourceAsStream(
"opennlp/tools/chunker/test.txt");
String encoding = "UTF-8";
ObjectStream<ChunkSample> sampleStream = new ChunkSampleStream(
new PlainTextByLineStream(new InputStreamReader(in, encoding)));
ChunkerModel chunkerModel = ChunkerME.train("en", sampleStream, 1, 70);
this.chunker = new ChunkerME(chunkerModel);
}
@Test
public void testChunkAsArray() throws Exception {
String preds[] = chunker.chunk(toks1, tags1);
assertArrayEquals(expect1, preds);
}
@Test
public void testChunkAsSpan() throws Exception {
Span[] preds = chunker.chunkAsSpans(toks1, tags1);
System.out.println(Arrays.toString(preds));
assertEquals(10, preds.length);
assertEquals(new Span(0, 1, "NP"), preds[0]);
assertEquals(new Span(1, 2, "VP"), preds[1]);
assertEquals(new Span(2, 4, "NP"), preds[2]);
assertEquals(new Span(4, 5, "VP"), preds[3]);
assertEquals(new Span(5, 6, "SBAR"), preds[4]);
assertEquals(new Span(6, 7, "NP"), preds[5]);
assertEquals(new Span(7, 9, "VP"), preds[6]);
assertEquals(new Span(9, 13, "NP"), preds[7]);
assertEquals(new Span(13, 14, "PP"), preds[8]);
assertEquals(new Span(14, 16, "NP"), preds[9]);
}
@Test
public void testChunkAsList() throws Exception {
@SuppressWarnings("deprecation")
List<String> preds = chunker.chunk(Arrays.asList(toks1),
Arrays.asList(tags1));
assertEquals(Arrays.asList(expect1), preds);
}
@Test
public void testTokenProbList() throws Exception {
@SuppressWarnings("deprecation")
Sequence[] preds = chunker.topKSequences(Arrays.asList(toks1),
Arrays.asList(tags1));
assertTrue(preds.length > 0);
assertEquals(expect1.length, preds[0].getProbs().length);
assertEquals(Arrays.asList(expect1), preds[0].getOutcomes());
assertNotSame(Arrays.asList(expect1), preds[1].getOutcomes());
}
@Test
public void testTokenProbArray() throws Exception {
Sequence[] preds = chunker.topKSequences(toks1, tags1);
assertTrue(preds.length > 0);
assertEquals(expect1.length, preds[0].getProbs().length);
assertEquals(Arrays.asList(expect1), preds[0].getOutcomes());
assertNotSame(Arrays.asList(expect1), preds[1].getOutcomes());
}
@Test
public void testTokenProbMinScore() throws Exception {
Sequence[] preds = chunker.topKSequences(toks1, tags1, -5.55);
assertTrue(preds.length == 4);
assertEquals(expect1.length, preds[0].getProbs().length);
assertEquals(Arrays.asList(expect1), preds[0].getOutcomes());
assertNotSame(Arrays.asList(expect1), preds[1].getOutcomes());
}
}