opennlp.uima.sentdetect.SentenceDetector Maven / Gradle / Ivy
/*
* 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.uima.sentdetect;
import org.apache.uima.UimaContext;
import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
import org.apache.uima.cas.CAS;
import org.apache.uima.cas.Feature;
import org.apache.uima.cas.TypeSystem;
import org.apache.uima.cas.text.AnnotationFS;
import org.apache.uima.resource.ResourceAccessException;
import org.apache.uima.resource.ResourceInitializationException;
import opennlp.tools.sentdetect.SentenceDetectorME;
import opennlp.tools.sentdetect.SentenceModel;
import opennlp.tools.util.Span;
import opennlp.uima.util.AnnotatorUtil;
import opennlp.uima.util.UimaUtil;
/**
* OpenNLP Sentence annotator.
*
* Mandatory parameters
*
*
* Type Name Description
* String opennlp.uima.ModelName The name of the model file
* String opennlp.uima.SentenceType The full name of the sentence type
*
*
* Optional parameters
*
*
* Type Name Description
* String opennlp.uima.ContainerType The name of the container type
* String opennlp.uima.ProbabilityFeature The name of the double
* probability feature (not set by default)
*
*/
public final class SentenceDetector extends AbstractSentenceDetector {
/**
* OpenNLP sentence detector.
*/
private SentenceDetectorME sentenceDetector;
private Feature probabilityFeature;
/**
* Initializes a new instance.
*
* Note: Use {@link #initialize(UimaContext) } to initialize
* this instance. Not use the constructor.
*/
public SentenceDetector() {
// must not be implemented !
}
/**
* Initializes the current instance with the given context.
*
* Note: Do all initialization in this method, do not use the constructor.
*/
public void initialize(UimaContext context)
throws ResourceInitializationException {
super.initialize(context);
SentenceModel model;
try {
SentenceModelResource modelResource = (SentenceModelResource) context
.getResourceObject(UimaUtil.MODEL_PARAMETER);
model = modelResource.getModel();
} catch (ResourceAccessException e) {
throw new ResourceInitializationException(e);
}
sentenceDetector = new SentenceDetectorME(model);
}
/**
* Initializes the type system.
*/
public void typeSystemInit(TypeSystem typeSystem)
throws AnalysisEngineProcessException {
super.typeSystemInit(typeSystem);
probabilityFeature = AnnotatorUtil.getOptionalFeatureParameter(context,
sentenceType, UimaUtil.PROBABILITY_FEATURE_PARAMETER,
CAS.TYPE_NAME_DOUBLE);
}
@Override
protected Span[] detectSentences(String text) {
return sentenceDetector.sentPosDetect(text);
}
@Override
protected void postProcessAnnotations(AnnotationFS[] sentences) {
if (probabilityFeature != null) {
double[] sentenceProbabilities = sentenceDetector.getSentenceProbabilities();
for (int i = 0; i < sentences.length; i++) {
sentences[i].setDoubleValue(probabilityFeature, sentenceProbabilities[i]);
}
}
}
/**
* Releases allocated resources.
*/
public void destroy() {
// dereference model to allow garbage collection
sentenceDetector = null;
}
}