/*
* 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 opennlp.tools.cmdline.parser;
import java.io.IOException;
import opennlp.model.AbstractModel;
import opennlp.tools.dictionary.Dictionary;
import opennlp.tools.parser.Parse;
import opennlp.tools.parser.ParserEventTypeEnum;
import opennlp.tools.parser.ParserModel;
import opennlp.tools.parser.chunking.Parser;
import opennlp.tools.parser.chunking.ParserEventStream;
import opennlp.tools.util.ObjectStream;
// trains a new check model ...
public final class CheckModelUpdaterTool extends ModelUpdaterTool {
public String getName() {
return "CheckModelUpdater";
}
public String getShortDescription() {
return "trains and updates the check model in a parser model";
}
@Override
protected ParserModel trainAndUpdate(ParserModel originalModel,
ObjectStream<Parse> parseSamples, ModelUpdaterParams parameters)
throws IOException {
Dictionary mdict = ParserTrainerTool.buildDictionary(parseSamples, originalModel.getHeadRules(), parameters.getCutoff());
parseSamples.reset();
// TODO: Maybe that should be part of the ChunkingParser ...
// Training build
System.out.println("Training check model");
opennlp.model.EventStream bes = new ParserEventStream(parseSamples,
originalModel.getHeadRules(), ParserEventTypeEnum.CHECK, mdict);
AbstractModel checkModel = Parser.train(bes,
parameters.getIterations(), parameters.getCutoff());
parseSamples.close();
return originalModel.updateCheckModel(checkModel);
}
}