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/*
* 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.IOException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import opennlp.tools.cmdline.AbstractTrainerTool;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.cmdline.params.EncodingParameter;
import opennlp.tools.cmdline.params.TrainingToolParams;
import opennlp.tools.cmdline.parser.ParserTrainerTool.TrainerToolParams;
import opennlp.tools.dictionary.Dictionary;
import opennlp.tools.ml.TrainerFactory;
import opennlp.tools.parser.HeadRules;
import opennlp.tools.parser.Parse;
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.ext.ExtensionLoader;
import opennlp.tools.util.model.ArtifactSerializer;
import opennlp.tools.util.model.ModelUtil;
public final class ParserTrainerTool extends AbstractTrainerTool {
interface TrainerToolParams extends TrainingParams, TrainingToolParams, EncodingParameter {
}
private static final Logger logger = LoggerFactory.getLogger(ParserTrainerTool.class);
public ParserTrainerTool() {
super(Parse.class, TrainerToolParams.class);
}
@Override
public String getShortDescription() {
return "Trains the learnable parser";
}
static Dictionary buildDictionary(ObjectStream parseSamples, HeadRules headRules, int cutoff) {
logger.info("Building dictionary ...");
Dictionary mdict;
try {
mdict = Parser.
buildDictionary(parseSamples, headRules, cutoff);
} catch (IOException e) {
logger.error("Error while building dictionary.", e);
mdict = null;
}
logger.info("done");
return mdict;
}
static ParserType parseParserType(String typeAsString) {
ParserType type = null;
if (typeAsString != null && typeAsString.length() > 0) {
type = ParserType.parse(typeAsString);
if (type == null) {
throw new TerminateToolException(1, "ParserType training parameter '" + typeAsString +
"' is invalid!");
}
}
return type;
}
static HeadRules createHeadRules(TrainerToolParams params) throws IOException {
ArtifactSerializer headRulesSerializer;
if (params.getHeadRulesSerializerImpl() != null) {
headRulesSerializer = ExtensionLoader.instantiateExtension(ArtifactSerializer.class,
params.getHeadRulesSerializerImpl());
}
else {
if ("en".equals(params.getLang()) || "eng".equals(params.getLang())) {
headRulesSerializer = new opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer();
}
else if ("es".equals(params.getLang()) || "spa".equals(params.getLang())) {
headRulesSerializer = new opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer();
}
else {
// default for now, this case should probably cause an error ...
headRulesSerializer = new opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer();
}
}
Object headRulesObject = headRulesSerializer.create(new FileInputStream(params.getHeadRules()));
if (headRulesObject instanceof HeadRules) {
return (HeadRules) headRulesObject;
}
else {
throw new TerminateToolException(-1,
"HeadRules Artifact Serializer must create an object of type HeadRules!");
}
}
// TODO: Add param to train tree insert parser
@Override
public void run(String format, String[] args) {
super.run(format, args);
mlParams = CmdLineUtil.loadTrainingParameters(params.getParams(), true);
if (mlParams != null) {
if (!TrainerFactory.isValid(mlParams.getParameters("build"))) {
throw new TerminateToolException(1, "Build training parameters are invalid!");
}
if (!TrainerFactory.isValid(mlParams.getParameters("check"))) {
throw new TerminateToolException(1, "Check training parameters are invalid!");
}
if (!TrainerFactory.isValid(mlParams.getParameters("attach"))) {
throw new TerminateToolException(1, "Attach training parameters are invalid!");
}
if (!TrainerFactory.isValid(mlParams.getParameters("tagger"))) {
throw new TerminateToolException(1, "Tagger training parameters are invalid!");
}
if (!TrainerFactory.isValid(mlParams.getParameters("chunker"))) {
throw new TerminateToolException(1, "Chunker training parameters are invalid!");
}
}
if (mlParams == null) {
mlParams = ModelUtil.createDefaultTrainingParameters();
}
File modelOutFile = params.getModel();
CmdLineUtil.checkOutputFile("parser model", modelOutFile);
ParserModel model;
try {
HeadRules rules = createHeadRules(params);
ParserType type = parseParserType(params.getParserType());
if (params.getFun()) {
Parse.useFunctionTags(true);
}
if (ParserType.CHUNKING.equals(type)) {
model = opennlp.tools.parser.chunking.Parser.train(
params.getLang(), sampleStream, rules,
mlParams);
}
else if (ParserType.TREEINSERT.equals(type)) {
model = opennlp.tools.parser.treeinsert.Parser.train(params.getLang(), sampleStream, rules,
mlParams);
}
else {
throw new IllegalStateException();
}
}
catch (IOException e) {
throw createTerminationIOException(e);
}
finally {
try {
sampleStream.close();
} catch (IOException e) {
// sorry that this can fail
}
}
CmdLineUtil.writeModel("parser", modelOutFile, model);
}
}
