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.tokenizerfactory; import org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess; import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer; import java.io.InputStream; /** * Generates a tokenizer for a given string * @author Adam Gibson * */ public interface TokenizerFactory { /** * The tokenizer to createComplex * @param toTokenize the string to createComplex the tokenizer with * @return the new tokenizer */ Tokenizer create(String toTokenize); /** * Create a tokenizer based on an input stream * @param toTokenize * @return */ Tokenizer create(InputStream toTokenize); /** * Sets a token pre processor to be used * with every tokenizer * @param preProcessor the token pre processor to use */ void setTokenPreProcessor(TokenPreProcess preProcessor); /** * Returns TokenPreProcessor set for this TokenizerFactory instance * * @return TokenPreProcessor instance, or null if no preprocessor was defined */ TokenPreProcess getTokenPreProcessor(); }