org.apache.lucene.analysis.ngram.EdgeNGramTokenizer Maven / Gradle / Ivy
package org.apache.lucene.analysis.ngram;
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. 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.
*/
import java.io.Reader;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.util.AttributeFactory;
import org.apache.lucene.util.Version;
/**
* Tokenizes the input from an edge into n-grams of given size(s).
*
* This {@link Tokenizer} create n-grams from the beginning edge or ending edge of a input token.
*
As of Lucene 4.4, this tokenizer
* - can handle
maxGram larger than 1024 chars, but beware that this will result in increased memory usage
* - doesn't trim the input,
*
- sets position increments equal to 1 instead of 1 for the first token and 0 for all other ones
*
- doesn't support backward n-grams anymore.
*
- supports {@link #isTokenChar(int) pre-tokenization},
*
- correctly handles supplementary characters.
*
* Although highly discouraged, it is still possible
* to use the old behavior through {@link Lucene43EdgeNGramTokenizer}.
*/
public class EdgeNGramTokenizer extends NGramTokenizer {
public static final int DEFAULT_MAX_GRAM_SIZE = 1;
public static final int DEFAULT_MIN_GRAM_SIZE = 1;
/**
* Creates EdgeNGramTokenizer that can generate n-grams in the sizes of the given range
*
* @param version the Lucene match version
* @param input {@link Reader} holding the input to be tokenized
* @param minGram the smallest n-gram to generate
* @param maxGram the largest n-gram to generate
*/
public EdgeNGramTokenizer(Version version, Reader input, int minGram, int maxGram) {
super(version, input, minGram, maxGram, true);
}
/**
* Creates EdgeNGramTokenizer that can generate n-grams in the sizes of the given range
*
* @param version the Lucene match version
* @param factory {@link org.apache.lucene.util.AttributeFactory} to use
* @param input {@link Reader} holding the input to be tokenized
* @param minGram the smallest n-gram to generate
* @param maxGram the largest n-gram to generate
*/
public EdgeNGramTokenizer(Version version, AttributeFactory factory, Reader input, int minGram, int maxGram) {
super(version, factory, input, minGram, maxGram, true);
}
}