opennlp.tools.tokenize.TokenizerEvaluator.java Source code

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Here is the source code for opennlp.tools.tokenize.TokenizerEvaluator.java

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/*
 * 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 opennlp.tools.util.Span;
import opennlp.tools.util.eval.Evaluator;
import opennlp.tools.util.eval.FMeasure;

/**
 * The {@link TokenizerEvaluator} measures the performance of
 * the given {@link Tokenizer} with the provided reference
 * {@link TokenSample}s.
 *
 * @see Evaluator
 * @see Tokenizer
 * @see TokenSample
 */
public class TokenizerEvaluator extends Evaluator<TokenSample> {

    private FMeasure fmeasure = new FMeasure();

    /**
     * The {@link Tokenizer} used to create the
     * predicted tokens.
     */
    private Tokenizer tokenizer;

    /**
     * Initializes the current instance with the
     * given {@link Tokenizer}.
     *
     * @param tokenizer the {@link Tokenizer} to evaluate.
     * @param listeners evaluation sample listeners
     */
    public TokenizerEvaluator(Tokenizer tokenizer, TokenizerEvaluationMonitor... listeners) {
        super(listeners);
        this.tokenizer = tokenizer;
    }

    @Override
    protected TokenSample processSample(TokenSample reference) {
        Span[] predictions = tokenizer.tokenizePos(reference.getText());
        fmeasure.updateScores(reference.getTokenSpans(), predictions);

        return new TokenSample(reference.getText(), predictions);
    }

    public FMeasure getFMeasure() {
        return fmeasure;
    }
}