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* <tr> * <tr> * <tr> * </table> * <p> * Optional parameters * <table border=1> * <tr> * <tr>

Java example source code file (ConcurrentTokenizer.java)

This example Java source code file (ConcurrentTokenizer.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

abstracttokenizer, analysisengineprocessexception, annotationfs, annotatorutil, concurrenttokenizer, feature, opennlp, override, resourceaccessexception, resourceinitializationexception, span, tokenizerme, tokenizermodelresource

The ConcurrentTokenizer.java Java example source code

/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed 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 org.deeplearning4j.text.tokenization.tokenizer;

import opennlp.tools.tokenize.TokenizerME;
import opennlp.tools.tokenize.TokenizerModel;
import opennlp.tools.util.Span;
import opennlp.uima.tokenize.AbstractTokenizer;
import opennlp.uima.tokenize.TokenizerModelResource;
import opennlp.uima.util.AnnotatorUtil;
import opennlp.uima.util.UimaUtil;

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;

/**
 * OpenNLP Tokenizer annotator.
 * <p>
 * Mandatory parameters
 * <table border=1>
 *   <tr>
Type Name Description
String opennlp.uima.ModelName The name of the model file
String opennlp.uima.SentenceType The full name of the sentence type
String opennlp.uima.TokenType The full name of the token type
Type Name Description
String opennlp.uima.ProbabilityFeature The name of the double * probability feature (not applyTransformToDestination by default)</td> * </table> * @see {@link TokenizerME} */ public class ConcurrentTokenizer extends AbstractTokenizer { /** * The OpenNLP tokenizer. */ private TokenizerME tokenizer; private Feature probabilityFeature; @Override public synchronized void process(CAS cas) throws AnalysisEngineProcessException { super.process(cas); } /** * Initializes a new instance. * * Note: Use {@link #initialize(UimaContext) } to initialize * this instance. Not use the constructor. */ public ConcurrentTokenizer() { super("OpenNLP Tokenizer"); // 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); TokenizerModel model; try { TokenizerModelResource modelResource = (TokenizerModelResource) context .getResourceObject(UimaUtil.MODEL_PARAMETER); model = modelResource.getModel(); } catch (ResourceAccessException e) { throw new ResourceInitializationException(e); } tokenizer = new TokenizerME(model); } /** * Initializes the type system. */ public void typeSystemInit(TypeSystem typeSystem) throws AnalysisEngineProcessException { super.typeSystemInit(typeSystem); probabilityFeature = AnnotatorUtil .getOptionalFeatureParameter(context, tokenType, UimaUtil.PROBABILITY_FEATURE_PARAMETER, CAS.TYPE_NAME_DOUBLE); } @Override protected Span[] tokenize(CAS cas, AnnotationFS sentence) { return tokenizer.tokenizePos(sentence.getCoveredText()); } @Override protected void postProcessAnnotations(Span[] tokens, AnnotationFS[] tokenAnnotations) { // if interest if (probabilityFeature != null) { double tokenProbabilties[] = tokenizer.getTokenProbabilities(); for (int i = 0; i < tokenAnnotations.length; i++) { tokenAnnotations[i].setDoubleValue(probabilityFeature, tokenProbabilties[i]); } } } /** * Releases allocated resources. */ public void destroy() { // dereference model to allow garbage collection tokenizer = null; } }

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