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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 org.apache.lucene.analysis.opennlp;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import org.apache.lucene.analysis.TokenFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.opennlp.tools.NLPChunkerOp;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.FlagsAttribute;
import org.apache.lucene.analysis.tokenattributes.TypeAttribute;
import org.apache.lucene.util.AttributeSource;
/**
* Run OpenNLP chunker. Prerequisite: the OpenNLPTokenizer and OpenNLPPOSFilter must precede this filter.
* Tags terms in the TypeAttribute, replacing the POS tags previously put there by OpenNLPPOSFilter.
*/
public final class OpenNLPChunkerFilter extends TokenFilter {
private List<AttributeSource> sentenceTokenAttrs = new ArrayList<>();
private int tokenNum = 0;
private boolean moreTokensAvailable = true;
private String[] sentenceTerms = null;
private String[] sentenceTermPOSTags = null;
private final NLPChunkerOp chunkerOp;
private final TypeAttribute typeAtt = addAttribute(TypeAttribute.class);
private final FlagsAttribute flagsAtt = addAttribute(FlagsAttribute.class);
private final CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
public OpenNLPChunkerFilter(TokenStream input, NLPChunkerOp chunkerOp) {
super(input);
this.chunkerOp = chunkerOp;
}
@Override
public final boolean incrementToken() throws IOException {
if ( ! moreTokensAvailable) {
clear();
return false;
}
if (tokenNum == sentenceTokenAttrs.size()) {
nextSentence();
if (sentenceTerms == null) {
clear();
return false;
}
assignTokenTypes(chunkerOp.getChunks(sentenceTerms, sentenceTermPOSTags, null));
tokenNum = 0;
}
clearAttributes();
sentenceTokenAttrs.get(tokenNum++).copyTo(this);
return true;
}
private void nextSentence() throws IOException {
List<String> termList = new ArrayList<>();
List<String> posTagList = new ArrayList<>();
sentenceTokenAttrs.clear();
boolean endOfSentence = false;
while ( ! endOfSentence && (moreTokensAvailable = input.incrementToken())) {
termList.add(termAtt.toString());
posTagList.add(typeAtt.type());
endOfSentence = 0 != (flagsAtt.getFlags() & OpenNLPTokenizer.EOS_FLAG_BIT);
sentenceTokenAttrs.add(input.cloneAttributes());
}
sentenceTerms = termList.size() > 0 ? termList.toArray(new String[termList.size()]) : null;
sentenceTermPOSTags = posTagList.size() > 0 ? posTagList.toArray(new String[posTagList.size()]) : null;
}
private void assignTokenTypes(String[] tags) {
for (int i = 0 ; i < tags.length ; ++i) {
sentenceTokenAttrs.get(i).getAttribute(TypeAttribute.class).setType(tags[i]);
}
}
@Override
public void reset() throws IOException {
super.reset();
moreTokensAvailable = true;
clear();
}
private void clear() {
sentenceTokenAttrs.clear();
sentenceTerms = null;
sentenceTermPOSTags = null;
tokenNum = 0;
}
}