/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreemnets. 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.uima.sentdetect;
import java.io.File;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import opennlp.maxent.GIS;
import opennlp.tools.sentdetect.SentenceDetectorME;
import opennlp.tools.sentdetect.SentenceModel;
import opennlp.tools.sentdetect.SentenceSample;
import opennlp.tools.util.ObjectStreamUtils;
import opennlp.tools.util.Span;
import opennlp.uima.util.CasConsumerUtil;
import opennlp.uima.util.OpennlpUtil;
import opennlp.uima.util.UimaUtil;
import org.apache.uima.UimaContext;
import org.apache.uima.cas.CAS;
import org.apache.uima.cas.FSIndex;
import org.apache.uima.cas.Type;
import org.apache.uima.cas.TypeSystem;
import org.apache.uima.cas.text.AnnotationFS;
import org.apache.uima.collection.CasConsumer_ImplBase;
import org.apache.uima.resource.ResourceInitializationException;
import org.apache.uima.resource.ResourceProcessException;
import org.apache.uima.util.Level;
import org.apache.uima.util.Logger;
import org.apache.uima.util.ProcessTrace;
/**
* OpenNLP SentenceDetector trainer.
* <p>
* Mandatory parameters
* <table border=1>
* <tr><th>Type</th> <th>Name</th> <th>Description</th></tr>
* <tr><td>String</td> <td>opennlp.uima.ModelName</td> <td>The name of the model file</td></tr>
* <tr><td>String</td> <td>opennlp.uima.SentenceType</td> <td>The full name of the sentence type</td></tr>
* </table>
*/
public final class SentenceDetectorTrainer extends CasConsumer_ImplBase {
private List<SentenceSample> sentenceSamples = new ArrayList<SentenceSample>();
private Type mSentenceType;
private String mModelName;
private String language = "en";
private Logger mLogger;
private UimaContext mContext;
/**
* Initializes the current instance.
*/
public void initialize() throws ResourceInitializationException {
super.initialize();
mContext = getUimaContext();
mLogger = mContext.getLogger();
if (mLogger.isLoggable(Level.INFO)) {
mLogger.log(Level.INFO, "Initializing the OpenNLP SentenceDetector " +
"trainer.");
}
mModelName = CasConsumerUtil.getRequiredStringParameter(mContext,
UimaUtil.MODEL_PARAMETER);
language = CasConsumerUtil.getRequiredStringParameter(mContext,
UimaUtil.LANGUAGE_PARAMETER);
}
/**
* Initializes the current instance with the given type system.
*/
public void typeSystemInit(TypeSystem typeSystem)
throws ResourceInitializationException {
String sentenceTypeName =
CasConsumerUtil.getRequiredStringParameter(mContext,
UimaUtil.SENTENCE_TYPE_PARAMETER);
mSentenceType = CasConsumerUtil.getType(typeSystem, sentenceTypeName);
}
/**
* Process the given CAS object.
*/
public void processCas(CAS cas) {
FSIndex<AnnotationFS> sentenceIndex = cas.getAnnotationIndex(mSentenceType);
Span[] sentSpans = new Span[sentenceIndex.size()];
int i = 0;
Iterator<AnnotationFS> sentenceIterator = sentenceIndex.iterator();
while (sentenceIterator.hasNext()) {
AnnotationFS sentenceAnnotation = (AnnotationFS) sentenceIterator.next();
sentSpans[i++] = new Span(sentenceAnnotation.getBegin(), sentenceAnnotation.getEnd());
}
sentenceSamples.add(new SentenceSample(cas.getDocumentText(), sentSpans));
}
/**
* Called if the processing is finished, this method
* does the training.
*/
public void collectionProcessComplete(ProcessTrace trace)
throws ResourceProcessException, IOException {
GIS.PRINT_MESSAGES = false;
SentenceModel sentenceModel = SentenceDetectorME.train(language,
ObjectStreamUtils.createObjectStream(sentenceSamples), true, null);
// dereference to allow garbage collection
sentenceSamples = null;
File modelFile = new File(getUimaContextAdmin().getResourceManager()
.getDataPath() + File.separatorChar + mModelName);
OpennlpUtil.serialize(sentenceModel,modelFile);
}
/**
* The trainer is not stateless.
*/
public boolean isStateless() {
return false;
}
/**
* Releases allocated resources.
*/
public void destroy() {
// dereference to allow garbage collection
sentenceSamples = null;
}
}