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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,
 * 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; } }





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