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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,
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* See the License for the specific language governing permissions and
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package opennlp.tools.eval;
import java.io.File;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.math.BigInteger;
import java.nio.charset.StandardCharsets;
import java.security.MessageDigest;
import org.junit.Assert;
import org.junit.BeforeClass;
import org.junit.Test;
import opennlp.tools.formats.DirectorySampleStream;
import opennlp.tools.formats.convert.FileToStringSampleStream;
import opennlp.tools.formats.ontonotes.DocumentToLineStream;
import opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream;
import opennlp.tools.parser.HeadRules;
import opennlp.tools.parser.Parse;
import opennlp.tools.parser.ParserCrossValidator;
import opennlp.tools.parser.ParserType;
import opennlp.tools.parser.lang.en.HeadRulesTest;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.TrainingParameters;
import opennlp.tools.util.model.ModelUtil;
public class OntoNotes4ParserEval {
private static ObjectStream<Parse> createParseSampleStream() throws IOException {
ObjectStream<File> documentStream = new DirectorySampleStream(new File(
EvalUtil.getOpennlpDataDir(), "ontonotes4/data/files/data/english"),
file -> {
if (file.isFile()) {
return file.getName().endsWith(".parse");
}
return file.isDirectory();
}, true);
return new OntoNotesParseSampleStream(
new DocumentToLineStream(new FileToStringSampleStream(
documentStream, StandardCharsets.UTF_8)));
}
private static void crossEval(TrainingParameters params, HeadRules rules, double expectedScore)
throws IOException {
try (ObjectStream<Parse> samples = createParseSampleStream()) {
ParserCrossValidator cv = new ParserCrossValidator("en", params, rules, ParserType.CHUNKING);
cv.evaluate(samples, 5);
Assert.assertEquals(expectedScore, cv.getFMeasure().getFMeasure(), 0.0001d);
}
}
@BeforeClass
public static void verifyTrainingData() throws IOException {
MessageDigest digest = EvalUtil.createDigest();
try (ObjectStream<Parse> samples = createParseSampleStream()) {
Parse sample;
while ((sample = samples.read()) != null) {
digest.update(sample.toString().getBytes(StandardCharsets.UTF_8));
}
Assert.assertEquals(new BigInteger("83833369887442127665956850482411800415"),
new BigInteger(1, digest.digest()));
}
}
@Test
public void evalEnglishMaxent() throws IOException {
HeadRules headRules;
try (InputStream headRulesIn =
HeadRulesTest.class.getResourceAsStream("/opennlp/tools/parser/en_head_rules")) {
headRules = new opennlp.tools.parser.lang.en.HeadRules(
new InputStreamReader(headRulesIn, "UTF-8"));
}
TrainingParameters params = ModelUtil.createDefaultTrainingParameters();
params.put("build.Threads", 4);
params.put("tagger.Threads", 4);
params.put("chunker.Threads", 4);
params.put("check.Threads", 4);
crossEval(params, headRules, 0.9373673649973432d);
}
}