/** * 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. */ package org.apache.lucene.analysis.cn.smart; import java.util.Collections; import java.util.List; import org.apache.lucene.analysis.cn.smart.hhmm.HHMMSegmenter; import org.apache.lucene.analysis.cn.smart.hhmm.SegToken; import org.apache.lucene.analysis.cn.smart.hhmm.SegTokenFilter; /** * Segment a sentence of Chinese text into words. * @lucene.experimental */ class WordSegmenter { private HHMMSegmenter hhmmSegmenter = new HHMMSegmenter(); private SegTokenFilter tokenFilter = new SegTokenFilter(); /** * Segment a sentence into words with {@link HHMMSegmenter} * * @param sentence input sentence * @param startOffset start offset of sentence * @return {@link List} of {@link SegToken} */ public List<SegToken> segmentSentence(String sentence, int startOffset) { List<SegToken> segTokenList = hhmmSegmenter.process(sentence); // tokens from sentence, excluding WordType.SENTENCE_BEGIN and WordType.SENTENCE_END List<SegToken> result = Collections.emptyList(); if (segTokenList.size() > 2) // if its not an empty sentence result = segTokenList.subList(1, segTokenList.size() - 1); for (SegToken st : result) convertSegToken(st, sentence, startOffset); return result; } /** * Process a {@link SegToken} so that it is ready for indexing. * * This method calculates offsets and normalizes the token with {@link SegTokenFilter}. * * @param st input {@link SegToken} * @param sentence associated Sentence * @param sentenceStartOffset offset into sentence * @return Lucene {@link SegToken} */ public SegToken convertSegToken(SegToken st, String sentence, int sentenceStartOffset) { switch (st.wordType) { case WordType.STRING: case WordType.NUMBER: case WordType.FULLWIDTH_NUMBER: case WordType.FULLWIDTH_STRING: st.charArray = sentence.substring(st.startOffset, st.endOffset) .toCharArray(); break; default: break; } st = tokenFilter.filter(st); st.startOffset += sentenceStartOffset; st.endOffset += sentenceStartOffset; return st; } }