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A Natural Language Processing framework for Java
/*
* (c) 2005 David B. Bracewell
*
* 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 com.davidbracewell.hermes.annotator;
import com.davidbracewell.Language;
import com.davidbracewell.config.Config;
import com.davidbracewell.hermes.AnnotatableType;
import com.davidbracewell.hermes.Annotation;
import com.davidbracewell.hermes.Document;
import com.davidbracewell.hermes.Types;
import com.davidbracewell.hermes.attribute.POS;
import com.google.common.base.Throwables;
import com.google.common.collect.Maps;
import opennlp.tools.chunker.ChunkerME;
import opennlp.tools.chunker.ChunkerModel;
import opennlp.tools.util.Span;
import java.io.IOException;
import java.io.Serializable;
import java.util.*;
/**
* @author David B. Bracewell
*/
public class OpenNLPPhraseChunkAnnotator implements Annotator, Serializable {
private static final long serialVersionUID = 1L;
private volatile Map chunkerModels = Maps.newEnumMap(Language.class);
@Override
public void annotate(Document document) {
ChunkerME chunker = new ChunkerME(loadChunker(document.getLanguage()));
for (Annotation sentence : document.sentences()) {
List tokenList = sentence.tokens();
String[] tokens = new String[tokenList.size()];
String[] pos = new String[tokenList.size()];
for (int i = 0; i < tokenList.size(); i++) {
tokens[i] = tokenList.get(i).toString();
pos[i] = tokenList.get(i).get(Types.PART_OF_SPEECH).as(POS.class).asString();
}
Span[] chunks = chunker.chunkAsSpans(tokens, pos);
for (Span span : chunks) {
sentence.document().createAnnotation(
Types.PHRASE_CHUNK,
tokenList.get(span.getStart()).union(tokenList.get(span.getEnd() - 1))
).put(Types.PART_OF_SPEECH, POS.valueOf(span.getType()));
}
}
}
private ChunkerModel loadChunker(Language language) {
if (!chunkerModels.containsKey(language)) {
synchronized (OpenNLPPhraseChunkAnnotator.class) {
if (!chunkerModels.containsKey(language)) {
try {
chunkerModels.put(language, new ChunkerModel(Config.get("opennlp", language, "phrase_chunk", "model").asResource().inputStream()));
} catch (IOException e) {
throw Throwables.propagate(e);
}
}
}
}
return chunkerModels.get(language);
}
@Override
public Set satisfies() {
return Collections.singleton(Types.PHRASE_CHUNK);
}
@Override
public Set requires() {
return new HashSet<>(Arrays.asList(Types.SENTENCE, Types.TOKEN, Types.PART_OF_SPEECH));
}
@Override
public String getVersion() {
return "1.6.0";
}
}//END OF OpenNLPPhraseChunkAnnotator