Java tutorial
/******************************************************************************* * 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<String> getTokens(); /** * Set the token pre process * @param tokenPreProcessor the token pre processor to set */ void setTokenPreProcessor(TokenPreProcess tokenPreProcessor); }