opennlp.tools.lemmatizer.LemmaSampleStream 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.lemmatizer;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import opennlp.tools.util.FilterObjectStream;
import opennlp.tools.util.ObjectStream;
/**
* Reads data for training and testing the lemmatizer. The format consists of:
* word\tpostag\tlemma.
* @version 2016-02-16
*/
public class LemmaSampleStream extends FilterObjectStream {
public LemmaSampleStream(ObjectStream samples) {
super(samples);
}
public LemmaSample read() throws IOException {
List toks = new ArrayList<>();
List tags = new ArrayList<>();
List preds = new ArrayList<>();
for (String line = samples.read(); line != null && !line.equals(""); line = samples.read()) {
String[] parts = line.split("\t");
if (parts.length != 3) {
System.err.println("Skipping corrupt line: " + line);
}
else {
toks.add(parts[0]);
tags.add(parts[1]);
preds.add(parts[2]);
}
}
if (toks.size() > 0) {
return new LemmaSample(toks.toArray(new String[toks.size()]), tags.toArray(new String[tags.size()]),
preds.toArray(new String[preds.size()]));
}
else {
return null;
}
}
}