作者:piaolingxue 地址:https://github.com/huaban/jieba-analysis结巴分词C++版本作者:Aszxqw 地址:https://github.com/aszxqw/cppjieba结巴分词Node.js版本作者:Aszxqw 地址:https://github.com/aszxqw/nodejiebaAlgorithm基于Trie树结构实现高效的词图扫描,生成句子中汉字所有可能成词情况所构成的有向无环图(DAG) ...
百度试题 结果1 题目【题目】读拼音,写词语。(5分)na handù jicao junshui zhaixiong tangshan gangcha manwei tuoban jiebang wen 相关知识点: 试题来源: 解析 【解析】呐喊妒忌曹军水寨胸膛山冈插满委托半截榜文 反馈 收藏
首先感谢jieba分词原作者fxsjy,没有他的无私贡献,我们也不会结识到结巴 分词. 同时也感谢jieba分词java版本的实现团队huaban,他们的努力使得Java也能直接做出效果很棒的分词。 不过由于huaban已经没有再对java版进行维护,所以我自己对项目进行了开发。除了结巴分词(java版)所保留的原项目针对搜索引擎分词的功能(cutfor...
origin: com.huaban/jieba-analysis JiebaSegmenter.process(...) for (String word : sentenceProcess(sb.toString())) { tokens.add(new SegToken(word, offset, offset += word.length())); for (String token : sentenceProcess(sb.toString())) { if (token.length() > 2) { String gram2; fo...
origin: huaban/jieba-analysis WordDictionary.loadUserDict(...) public void loadUserDict(Path userDict, Charset charset) { try { BufferedReader br = Files.newBufferedReader(userDict, charset); long s = System.currentTimeMillis(); int count = 0; while (br.ready()) { String line = br...
集成Lucene / Jieba Analyzer,支持自定义词典。Jieba Chinese Analysis PluginElasticSearchAnalyzer 0.0.2 1.0.0RC2 0.0.2 0.0.3-SNAPSHOT 1.3.0 1.0.0 0.0.4 1.5.x 1.0.2 2.3.3 2.3.3 1.0.2 2.3.4 2.3.4 1.0.2 2.3.5 2.3.5 1.0.2本插件包括 jieba analyzer、jieba tokenizer、jieba token filter,...
origin: com.huaban/jieba-analysis DictSegment.lookforSegment(...) DictSegment[] segmentArray = getChildrenArray(); DictSegment keySegment = new DictSegment(keyChar); int position = Arrays.binarySearch(segmentArray, 0, this.storeSize, keySegment); if (position >= 0) { Map<Character, ...
origin: com.huaban/jieba-analysis DictSegment.match(...) /** * 匹配词段 * * @param charArray * @param begin * @param length * @return Hit */ Hit match(char[] charArray, int begin, int length) { return this.match(charArray, begin, length, null); } ...
Best Java code snippets using com.huaban.analysis.jieba.WordDictionary.getTrie (Showing top 2 results out of 315) origin: huaban/jieba-analysis private Map<Integer, List<Integer>> createDAG(String sentence) { Map<Integer, List<Integer>> dag = new HashMap<Integer, List<Integer>>(); DictS...
public Result parse(CharSequence text) { return new JiebaResult(jiebaSegmenter.process(StrUtil.str(text), mode));