opennlp.tools.cmdline.sentdetect.SentenceDetectorTool Maven / Gradle / Ivy
/*
* 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.sentdetect;
import java.io.File;
import java.io.IOException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import opennlp.tools.cmdline.BasicCmdLineTool;
import opennlp.tools.cmdline.CLI;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.PerformanceMonitor;
import opennlp.tools.cmdline.SystemInputStreamFactory;
import opennlp.tools.sentdetect.SentenceDetectorME;
import opennlp.tools.sentdetect.SentenceModel;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.ParagraphStream;
import opennlp.tools.util.PlainTextByLineStream;
/**
* A sentence detector which uses a maxent model to predict the sentences.
*/
public final class SentenceDetectorTool extends BasicCmdLineTool {
private static final Logger logger = LoggerFactory.getLogger(SentenceDetectorTool.class);
@Override
public String getShortDescription() {
return "Learnable sentence detector";
}
@Override
public String getHelp() {
return "Usage: " + CLI.CMD + " " + getName() + " model < sentences";
}
/**
* Perform sentence detection on a stream of sentences.
*
* A newline will be treated as a paragraph boundary.
*/
@Override
public void run(String[] args) {
if (args.length != 1) {
logger.info(getHelp());
} else {
SentenceModel model = new SentenceModelLoader().load(new File(args[0]));
SentenceDetectorME sdetector = new SentenceDetectorME(model);
PerformanceMonitor perfMon = new PerformanceMonitor("sent");
perfMon.start();
try (ObjectStream paraStream = new ParagraphStream(new PlainTextByLineStream(
new SystemInputStreamFactory(), SystemInputStreamFactory.encoding()))) {
String para;
while ((para = paraStream.read()) != null) {
String[] sents = sdetector.sentDetect(para);
for (String sentence : sents) {
logger.info(sentence);
}
perfMon.incrementCounter(sents.length);
}
}
catch (IOException e) {
CmdLineUtil.handleStdinIoError(e);
}
perfMon.stopAndPrintFinalResult();
}
}
}