/*
* 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.postag;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
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.CVParams;
import opennlp.tools.postag.POSDictionary;
import opennlp.tools.postag.POSSample;
import opennlp.tools.postag.POSTaggerCrossValidator;
import opennlp.tools.postag.POSTaggerEvaluationMonitor;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.TrainingParameters;
public final class POSTaggerCrossValidatorTool implements CmdLineTool {
interface CVToolParams extends CVParams, TrainingParams {
}
public String getName() {
return "POSTaggerCrossValidator";
}
public String getShortDescription() {
return "K-fold cross validator for the learnable POS tagger";
}
public String getHelp() {
return "Usage: " + CLI.CMD + " " + getName() + " "
+ ArgumentParser.createUsage(CVToolParams.class);
}
public void run(String[] args) {
if (!ArgumentParser.validateArguments(args, CVToolParams.class)) {
System.err.println(getHelp());
throw new TerminateToolException(1);
}
CVToolParams params = ArgumentParser.parse(args, CVToolParams.class);
opennlp.tools.util.TrainingParameters mlParams = CmdLineUtil
.loadTrainingParameters(params.getParams(), false);
File trainingDataInFile = params.getData();
CmdLineUtil.checkInputFile("Training Data", trainingDataInFile);
ObjectStream<POSSample> sampleStream = POSTaggerTrainerTool.openSampleData(
"Training Data", trainingDataInFile, params.getEncoding());
POSTaggerCrossValidator validator;
POSTaggerEvaluationMonitor missclassifiedListener = null;
if (params.getMisclassified()) {
missclassifiedListener = new POSEvaluationErrorListener();
}
if (mlParams == null) {
mlParams = new TrainingParameters();
mlParams.put(TrainingParameters.ALGORITHM_PARAM, "MAXENT");
mlParams.put(TrainingParameters.ITERATIONS_PARAM,
Integer.toString(params.getIterations()));
mlParams.put(TrainingParameters.CUTOFF_PARAM,
Integer.toString(params.getCutoff()));
}
try {
// TODO: Move to util method ...
POSDictionary tagdict = null;
if (params.getDict() != null) {
tagdict = POSDictionary.create(new FileInputStream(params.getDict()));
}
validator = new POSTaggerCrossValidator(params.getLang(), mlParams,
tagdict, params.getNgram(), missclassifiedListener);
validator.evaluate(sampleStream, params.getFolds());
} catch (IOException e) {
CmdLineUtil.printTrainingIoError(e);
throw new TerminateToolException(-1);
} finally {
try {
sampleStream.close();
} catch (IOException e) {
// sorry that this can fail
}
}
System.out.println("done");
System.out.println();
System.out.println("Accuracy: " + validator.getWordAccuracy());
}
}