/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreemnets. 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.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.util.ArrayList;
import java.util.List;
import opennlp.tools.util.CollectionObjectStream;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.PlainTextByLineStream;
import opennlp.tools.util.Span;
/**
* Utility class for testing the {@link Tokenizer}.
*/
public class TokenizerTestUtil {
static TokenizerModel createSimpleMaxentTokenModel() throws IOException {
List<TokenSample> samples = new ArrayList<TokenSample>();
samples.add(new TokenSample("year", new Span[]{new Span(0, 4)}));
samples.add(new TokenSample("year,", new Span[]{
new Span(0, 4),
new Span(4, 5)}));
samples.add(new TokenSample("it,", new Span[]{
new Span(0, 2),
new Span(2, 3)}));
samples.add(new TokenSample("it", new Span[]{
new Span(0, 2)}));
samples.add(new TokenSample("yes", new Span[]{
new Span(0, 3)}));
samples.add(new TokenSample("yes,", new Span[]{
new Span(0, 3),
new Span(3, 4)}));
return TokenizerME.train("en", new CollectionObjectStream<TokenSample>(samples), true,
5, 100);
}
static TokenizerModel createMaxentTokenModel() throws IOException {
InputStream trainDataIn = TokenizerTestUtil.class.getResourceAsStream(
"/opennlp/tools/tokenize/token.train");
ObjectStream<TokenSample> samples = new TokenSampleStream(
new PlainTextByLineStream(new InputStreamReader(trainDataIn, "UTF-8")));
return TokenizerME.train("en", samples, true, 5, 100);
}
}