/* * Copyright 2016 * Ubiquitous Knowledge Processing (UKP) Lab * Technische Universität Darmstadt * * 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 de.tudarmstadt.ukp.dkpro.core.opennlp.internal; import static org.apache.uima.fit.util.JCasUtil.select; import java.util.ArrayList; import java.util.List; import org.apache.uima.jcas.JCas; import de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.Token; import opennlp.tools.tokenize.TokenSample; import opennlp.tools.util.Span; public class CasTokenSampleStream extends CasSampleStreamBase<TokenSample> { private List<Span> tokens; private String text; @Override public void init(JCas aJCas) { text = aJCas.getDocumentText(); tokens = new ArrayList<>(); for (Token token : select(aJCas, Token.class)) { Span s = new Span(token.getBegin(), token.getEnd()); tokens.add(s); } } @Override public boolean isActive() { return tokens != null; } @Override public TokenSample produce(JCas aJCas) { TokenSample sample = new TokenSample(text, tokens.toArray(new Span[tokens.size()])); documentComplete(); tokens = null; text = null; return sample; } }