/* * 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<String, LemmaSample> { public LemmaSampleStream(ObjectStream<String> samples) { super(samples); } public LemmaSample read() throws IOException { List<String> toks = new ArrayList<>(); List<String> tags = new ArrayList<>(); List<String> 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; } } }