/*
* 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;
}
}