Java tutorial
/* * 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.sentdetect; import opennlp.tools.util.Span; import opennlp.tools.util.eval.Evaluator; import opennlp.tools.util.eval.FMeasure; /** * The {@link SentenceDetectorEvaluator} measures the performance of * the given {@link SentenceDetector} with the provided reference * {@link SentenceSample}s. * * @see Evaluator * @see SentenceDetector * @see SentenceSample */ public class SentenceDetectorEvaluator extends Evaluator<SentenceSample> { private FMeasure fmeasure = new FMeasure(); /** * The {@link SentenceDetector} used to predict sentences. */ private SentenceDetector sentenceDetector; /** * Initializes the current instance. * * @param sentenceDetector * @param listeners evaluation sample listeners */ public SentenceDetectorEvaluator(SentenceDetector sentenceDetector, SentenceDetectorEvaluationMonitor... listeners) { super(listeners); this.sentenceDetector = sentenceDetector; } private Span[] trimSpans(String document, Span[] spans) { Span[] trimedSpans = new Span[spans.length]; for (int i = 0; i < spans.length; i++) { trimedSpans[i] = spans[i].trim(document); } return trimedSpans; } @Override protected SentenceSample processSample(SentenceSample sample) { Span[] predictions = trimSpans(sample.getDocument(), sentenceDetector.sentPosDetect(sample.getDocument())); Span[] references = trimSpans(sample.getDocument(), sample.getSentences()); fmeasure.updateScores(references, predictions); return new SentenceSample(sample.getDocument(), predictions); } public FMeasure getFMeasure() { return fmeasure; } }