| /* |
| * 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 org.apache.uima.examples.opennlp.annotator; |
| |
| import java.io.IOException; |
| |
| import opennlp.tools.util.Span; |
| |
| import org.apache.uima.UimaContext; |
| import org.apache.uima.analysis_component.JCasAnnotator_ImplBase; |
| import org.apache.uima.analysis_engine.AnalysisEngineProcessException; |
| import org.apache.uima.cas.FSIterator; |
| import org.apache.uima.cas.text.AnnotationIndex; |
| import org.apache.uima.examples.opennlp.Sentence; |
| import org.apache.uima.examples.opennlp.Token; |
| import org.apache.uima.jcas.JCas; |
| import org.apache.uima.resource.ResourceInitializationException; |
| |
| /** |
| * UIMA Analysis Engine that invokes the OpenNLP Tokenizer. The OpenNLP Tokenizer generates a |
| * PennTreeBank style tokenization. This annotator assumes that sentences have already been |
| * annotated in the CAS with Sentence annotations. We iterate over sentences and invoke the OpenNLP |
| * Tokenizer on each sentence. For each token, a Token annotation is created in the CAS. The model |
| * file for the OpenNLP Tokenizer is specified as a parameter (MODEL_FILE_PARAM). |
| * |
| */ |
| public class Tokenizer extends JCasAnnotator_ImplBase { |
| |
| public static final String MODEL_FILE_PARAM = "ModelFile"; |
| |
| public static final String COMPONENT_ID = "OpenNLP Tokenizer"; |
| |
| private opennlp.tools.lang.english.Tokenizer tokenizer; |
| |
| /** |
| * Initialize the Annotator. |
| * |
| * @see JCasAnnotator_ImplBase#initialize(UimaContext) |
| */ |
| public void initialize(UimaContext aContext) throws ResourceInitializationException { |
| super.initialize(aContext); |
| String modelFile; |
| |
| modelFile = (String) aContext.getConfigParameterValue(MODEL_FILE_PARAM); |
| |
| try { |
| tokenizer = new opennlp.tools.lang.english.Tokenizer(modelFile); |
| } catch (IOException e) { |
| throw new ResourceInitializationException(e); |
| } |
| } |
| |
| /** |
| * Process a CAS. |
| * |
| * @see JCasAnnotator_ImplBase#process(JCas) |
| */ |
| public void process(JCas aJCas) throws AnalysisEngineProcessException { |
| |
| AnnotationIndex sentenceIndex = aJCas.getAnnotationIndex(Sentence.type); |
| |
| // iterate over Sentences |
| FSIterator sentenceIterator = sentenceIndex.iterator(); |
| while (sentenceIterator.hasNext()) { |
| Sentence sentence = (Sentence) sentenceIterator.next(); |
| |
| String text = sentence.getCoveredText(); |
| Span[] tokenSpans = tokenizer.tokenizePos(text); |
| for (int i = 0; i < tokenSpans.length; i++) { |
| Span span = tokenSpans[i]; |
| Token token = new Token(aJCas); |
| token.setBegin(sentence.getBegin() + span.getStart()); |
| token.setEnd(sentence.getBegin() + span.getEnd()); |
| token.setComponentId(COMPONENT_ID); |
| token.addToIndexes(); |
| } |
| } |
| |
| } |
| } |