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README
Apache-2.0

VicWord 一个纯php的分词

安装

composer require lizhichao/word

分词说明

  • 含有3种切分方法
    • getWord 长度优先切分 。最快
    • getShortWord 细粒度切分。比最快慢一点点
    • getAutoWord 自动切分 (在相邻词做了递归) 。效果最好
  • 可自定义词典,自己添加词语到词库,词库支持文本格式json和二级制格式igb 二进制格式词典小,加载快
  • dict.igb含有175662个词,欢迎大家补充词语到 dict.txt ,格式(词语 \t idf \t 词性)
    • idf 获取方法 百度搜索这个词语 Math.log(100000001/结果数量),如果你有更好的方法欢迎补充。
    • 词性 [标点符号,名词,动词,形容词,区别词,代词,数词,量词,副词,介词,连词,助词,语气词,拟声词,叹词] 取index ;标点符号取0
  • 三种分词结果对比
$fc = new VicWord('igb');
$arr = $fc->getWord('北京大学生喝进口红酒,在北京大学生活区喝进口红酒');
//北京大学|生喝|进口|红酒|,|在|北京大学|生活区|喝|进口|红酒
//$arr 是一个数组 每个单元的结构[词语,词语位置,词性,这个词语是否包含在词典中] 这里只值列出了词语

$arr =  $fc->getShortWord('北京大学生喝进口红酒,在北京大学生活区喝进口红酒');
//北京|大学|生喝|进口|红酒|,|在|北京|大学|生活|区喝|进口|红酒

$arr = $fc->getAutoWord('北京大学生喝进口红酒,在北京大学生活区喝进口红酒');
//北京|大学生|喝|进口|红酒|,|在|北京大学|生活区|喝|进口|红酒

//对比
//qq的分词和百度的分词 http://nlp.qq.com/semantic.cgi#page2 http://ai.baidu.com/tech/nlp/lexical

分词速度

机器阿里云 Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz
getWord 每秒140w字
getShortWord 每秒138w字
getAutoWord 每秒40w字
测试文本在百度百科拷贝的一段5000字的文本

制作词库

  • 词库支持utf-8的任意字符
  • 词典大小不影响 分词速度

只有一个方法 VicDict->add(词语,词性 = null)

//定义词典文件路径
define('_VIC_WORD_DICT_PATH_',__DIR__.'/Data/dict.igb');

require __DIR__.'/Lib/VicDict.php';

//目前可支持 igb 和 json 两种词典库格式;igb需要安装igbinary扩展,igb文件小,加载快
$dict = new VicDict('igb');

//添加词语词库 add(词语,词性) 不分语言,可以是utf-8编码的任何字符
$dict->add('中国','n');

//保存词库
$dict->save();

TODO

  • 添加每个词语的idf值 ,有了这个可以提取文章中关键词,自动生成简介,相识文章搜索更准确
  • 做成php的扩展,现在词库2.4M加载到php就达到100M了,如果词库太大消耗内存非常多。

缺点

词库占内存有点大

demo

demo

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