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/*******************************************************************************
 * 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.List;

/**
 * A representation of a tokenizer.
 * Different applications may require 
 * different kind of tokenization (say rules based vs more formal NLP approaches)
 * @author Adam Gibson
 *
 */
public interface Tokenizer {

    /**
     * An iterator for tracking whether
     * more tokens are left in the iterator not
     * @return whether there is anymore tokens
     * to iterate over
     */
    boolean hasMoreTokens();

    /**
     * The number of tokens in the tokenizer
     * @return the number of tokens
     */
    int countTokens();

    /**
     * The next token (word usually) in the string
     * @return the next token in the string if any
     */
    String nextToken();

    /**
     * Returns a list of all the tokens
     * @return a list of all the tokens
     */
    List getTokens();

    /**
     * Set the token pre process
     * @param tokenPreProcessor the token pre processor to set
     */
    void setTokenPreProcessor(TokenPreProcess tokenPreProcessor);



}




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