opennlp.tools.tokenize.DetokenizerEvaluator 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.tokenize;
import java.util.ArrayList;
import opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener;
import opennlp.tools.util.Span;
import opennlp.tools.util.eval.Evaluator;
import opennlp.tools.util.eval.FMeasure;
/**
* The {@link DetokenizerEvaluator} measures the performance of
* the given {@link Detokenizer} with the provided reference
* {@link TokenSample samples}.
*
* @see Detokenizer
* @see TokenSample
*/
public class DetokenizerEvaluator extends Evaluator {
private final FMeasure fmeasure = new FMeasure();
/**
* The {@link Detokenizer} used to create the predicted tokens.
*/
private final Detokenizer detokenizer;
/**
* Initializes the current instance with the
* given {@link Detokenizer}.
*
* @param detokenizer The {@link Detokenizer} to evaluate.
* @param listeners The {@link DetokenEvaluationErrorListener evaluation sample listeners}.
*/
public DetokenizerEvaluator(Detokenizer detokenizer, DetokenEvaluationErrorListener... listeners) {
super(listeners);
this.detokenizer = detokenizer;
}
@Override
protected TokenSample processSample(TokenSample reference) {
String[] tokens = Span.spansToStrings(reference.getTokenSpans(), reference.getText());
String tokensstring = detokenizer.detokenize(tokens, null);
ArrayList predictionsArray = new ArrayList<>();
ArrayList referencesArray = new ArrayList<>();
predictionsArray.add(tokensstring);
referencesArray.add(reference.getText());
Object[] references = referencesArray.toArray();
Object[] predictions = predictionsArray.toArray();
fmeasure.updateScores(references, predictions);
return new TokenSample(tokensstring, reference.getTokenSpans());
}
public FMeasure getFMeasure() {
return fmeasure;
}
}