/*
* 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.chunker;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.nio.charset.Charset;
import opennlp.tools.chunker.ChunkSample;
import opennlp.tools.chunker.ChunkSampleStream;
import opennlp.tools.chunker.ChunkerME;
import opennlp.tools.chunker.ChunkerModel;
import opennlp.tools.chunker.DefaultChunkerContextGenerator;
import opennlp.tools.cmdline.ArgumentParser;
import opennlp.tools.cmdline.CLI;
import opennlp.tools.cmdline.CmdLineTool;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.cmdline.params.TrainingToolParams;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.PlainTextByLineStream;
public class ChunkerTrainerTool implements CmdLineTool {
interface TrainerToolParams extends TrainingParams, TrainingToolParams{
}
public String getName() {
return "ChunkerTrainerME";
}
public String getShortDescription() {
return "trainer for the learnable chunker";
}
public String getHelp() {
return "Usage: " + CLI.CMD + " " + getName() + " "
+ ArgumentParser.createUsage(TrainerToolParams.class);
}
static ObjectStream<ChunkSample> openSampleData(String sampleDataName,
File sampleDataFile, Charset encoding) {
CmdLineUtil.checkInputFile(sampleDataName + " Data", sampleDataFile);
FileInputStream sampleDataIn = CmdLineUtil.openInFile(sampleDataFile);
ObjectStream<String> lineStream = new PlainTextByLineStream(sampleDataIn
.getChannel(), encoding);
return new ChunkSampleStream(lineStream);
}
public void run(String[] args) {
if (!ArgumentParser.validateArguments(args, TrainerToolParams.class)) {
System.err.println(getHelp());
throw new TerminateToolException(1);
}
TrainerToolParams params = ArgumentParser.parse(args,
TrainerToolParams.class);
opennlp.tools.util.TrainingParameters mlParams =
CmdLineUtil.loadTrainingParameters(params.getParams(), false);
File trainingDataInFile = params.getData();
File modelOutFile = params.getModel();
CmdLineUtil.checkOutputFile("sentence detector model", modelOutFile);
ObjectStream<ChunkSample> sampleStream =
openSampleData("Training", trainingDataInFile, params.getEncoding());
ChunkerModel model;
try {
if (mlParams == null) {
model = ChunkerME.train(params.getLang(), sampleStream,
params.getCutoff(), params.getIterations());
}
else {
model = ChunkerME.train(params.getLang(), sampleStream,
new DefaultChunkerContextGenerator(), mlParams);
}
} catch (IOException e) {
CmdLineUtil.printTrainingIoError(e);
throw new TerminateToolException(-1);
}
finally {
try {
sampleStream.close();
} catch (IOException e) {
// sorry that this can fail
}
}
CmdLineUtil.writeModel("chunker", modelOutFile, model);
}
}