/*
* 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.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStreamReader;
import java.nio.charset.Charset;
import opennlp.tools.cmdline.CLI;
import opennlp.tools.cmdline.CmdLineTool;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.dictionary.Dictionary;
import opennlp.tools.parser.HeadRules;
import opennlp.tools.parser.Parse;
import opennlp.tools.parser.ParseSampleStream;
import opennlp.tools.parser.ParserModel;
import opennlp.tools.parser.ParserType;
import opennlp.tools.parser.chunking.Parser;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.PlainTextByLineStream;
public final class ParserTrainerTool implements CmdLineTool {
public String getName() {
return "ParserTrainer";
}
public String getShortDescription() {
return "trains the learnable parser";
}
public String getHelp() {
return "Usage: " + CLI.CMD + " " + getName() + " " + TrainingParameters.getParameterUsage() +
" -head-rules head_rules -data trainingData -model model\n" + TrainingParameters.getDescription();
}
static ObjectStream<Parse> openTrainingData(File trainingDataFile, Charset encoding) {
CmdLineUtil.checkInputFile("Training data", trainingDataFile);
System.err.print("Opening training data ... ");
FileInputStream trainingDataIn;
try {
trainingDataIn = new FileInputStream(trainingDataFile);
} catch (FileNotFoundException e) {
System.err.println("failed");
System.err.println("File not found: " + e.getMessage());
throw new TerminateToolException(-1);
}
System.err.println("done");
return new ParseSampleStream(
new PlainTextByLineStream(trainingDataIn.getChannel(),
encoding));
}
static Dictionary buildDictionary(ObjectStream<Parse> parseSamples, HeadRules headRules, int cutoff) {
System.err.print("Building dictionary ...");
Dictionary mdict;
try {
mdict = Parser.
buildDictionary(parseSamples, headRules, cutoff);
} catch (IOException e) {
System.err.println("Error while building dictionary: " + e.getMessage());
mdict = null;
}
System.err.println("done");
return mdict;
}
// TODO: Add param to train tree insert parser
public void run(String[] args) {
if (args.length < 10) {
System.out.println(getHelp());
throw new TerminateToolException(1);
}
TrainingParameters parameters = new TrainingParameters(args);
if(!parameters.isValid()) {
System.out.println(getHelp());
throw new TerminateToolException(1);
}
ObjectStream<Parse> sampleStream = openTrainingData(new File(CmdLineUtil.getParameter("-data", args)), parameters.getEncoding());
File modelOutFile = new File(CmdLineUtil.getParameter("-model", args));
CmdLineUtil.checkOutputFile("parser model", modelOutFile);
ParserModel model;
try {
HeadRules rules = new opennlp.tools.parser.lang.en.HeadRules(
new InputStreamReader(new FileInputStream(new File(CmdLineUtil.getParameter("-head-rules", args))),
parameters.getEncoding()));
if (ParserType.CHUNKING.equals(parameters.getParserType())) {
model = opennlp.tools.parser.chunking.Parser.train(
parameters.getLanguage(), sampleStream, rules,
parameters.getNumberOfIterations(), parameters.getCutoff());
}
else if (ParserType.TREEINSERT.equals(parameters.getParserType())) {
model = opennlp.tools.parser.treeinsert.Parser.train(parameters.getLanguage(), sampleStream, rules, parameters.getNumberOfIterations(),
parameters.getCutoff());
}
else {
throw new IllegalStateException();
}
}
catch (IOException e) {
CmdLineUtil.printTrainingIoError(e);
throw new TerminateToolException(-1);
}
finally {
try {
sampleStream.close();
} catch (IOException e) {
// sorry that this can fail
}
}
CmdLineUtil.writeModel("parser", modelOutFile, model);
}
}