org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.deeplearning4j.text.tokenization.tokenizer;
import java.util.ArrayList;
import java.util.List;
import java.util.StringTokenizer;
/**
* Default tokenizer
* @author Adam Gibson
*/
public class DefaultTokenizer implements Tokenizer {
public DefaultTokenizer(String tokens) {
tokenizer = new StringTokenizer(tokens);
}
private StringTokenizer tokenizer;
private TokenPreProcess tokenPreProcess;
@Override
public boolean hasMoreTokens() {
return tokenizer.hasMoreTokens();
}
@Override
public int countTokens() {
return tokenizer.countTokens();
}
@Override
public String nextToken() {
String base = tokenizer.nextToken();
if (tokenPreProcess != null)
base = tokenPreProcess.preProcess(base);
return base;
}
@Override
public List getTokens() {
List tokens = new ArrayList<>();
while (hasMoreTokens()) {
tokens.add(nextToken());
}
return tokens;
}
@Override
public void setTokenPreProcessor(TokenPreProcess tokenPreProcessor) {
this.tokenPreProcess = tokenPreProcessor;
}
}