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README
Apache-2.0

Friso是什么?

Friso 是使用 c 语言开发的一款开源的高性能中文分词器,使用流行的mmseg算法实现。完全基于模块化设计和实现,可以很方便的植入其他程序中, 例如:MySQL,PHP,并且提供了php5, php7, ocaml, lua的插件实现。源码无需修改就能在各种平台下编译使用,加载完 20 万的词条,内存占用稳定为 14.5M.

Friso核心功能:

  • 中文分词:mmseg算法 + Friso 独创的优化算法,四种切分模式。
  • 关键字提取:基于textRank算法。
  • 关键短语提取:基于textRank算法。
  • 关键句子提取:基于textRank算法。

Friso中文分词:

四种切分模式:

  • 简易模式:FMM 算法,适合速度要求场合。
  • 复杂模式- MMSEG 四种过滤算法,具有较高的岐义去除,分词准确率达到了98.41%。
  • 检测模式:只返回词库中已有的词条,很适合某些应用场合。(1.6.1版本开始)。
  • 最多模式:细粒度切分,专为检索而生,除了中文处理外(不具备中文的人名,数字识别等智能功能)其他与复杂模式一致(英文,组合词等)。

分词功能特性:

  • 同时支持对 UTF-8/GBK 编码的切分,支持 php5 和 php7 扩展和 sphinx token 插件。
  • 支持自定义词库。在 dict 文件夹下,可以随便添加/删除/更改词库和词库词条,并且对词库进行了分类。
  • 简体/繁体/简体混合支持, 可以方便的针对简体,繁体或者简繁体切分。同时还可以以此实现简繁体的相互检索。
  • 支持中英/英中混合词的识别(维护词库可以识别任何一种组合)。例如:卡拉ok, 漂亮mm, c语言,IC卡,哆啦a梦。
  • 很好的英文支持,英文标点组合词识别, 例如c++, c#, 电子邮件,网址,小数,百分数。
  • 自定义保留标点:你可以自定义保留在切分结果中的标点,这样可以识别出一些复杂的组合,例如:c++, k&r,code.google.com。
  • 复杂英文切分的二次切分:默认 Friso 会保留数字和字母的原组合,开启此功能,可以进行二次切分提高检索的命中率。例如:qq2013会被切分成:qq/ 2013/ qq2013。
  • 支持阿拉伯数字/小数基本单字单位的识别,例如2012年,1.75米,5吨,120斤,38.6℃。
  • 自动英文圆角/半角,大写/小写转换。
  • 同义词匹配:自动中文/英文同义词追加. (需要在 friso.ini 中开启 friso.add_syn 选项)。
  • 自动中英文停止词过滤。(需要在 friso.ini 中开启 friso.clr_stw 选项)。
  • 多配置支持, 安全的应用于多进程/多线程环境。

Friso快速体验:

终端测试:

  1. cd到 Friso根目录。
  2. make
  3. 运行:./src/friso -init ./friso.ini
  4. 你将看到类似如下的终端界面
  5. 在光标处输入文本开始测试
Initialized in 0.088911sec
Mode: Complex
+-Version: 1.6.2 (UTF-8)
+---------------------------------------------------------------+
| Friso - a Chinese word segmentation writen by c.              |
| bug report email - chenxin619315@gmail.com.                   |
| or: visit https://github.com/lionsoul2014/friso.              |
|     java edition for https://github.com/lionsoul2014/jcseg    |
| type 'quit' to exit the program.                              |
+---------------------------------------------------------------+
friso>> 

测试样板:

分词文本
歧义和同义词:研究生命起源,混合词: 做B超检查身体,x射线本质是什么,今天去奇都ktv唱卡拉ok去,哆啦a梦是一个动漫中的主角,单位和全角: 2009年8月6日开始大学之旅,岳阳今天的气温为38.6℃, 也就是101.48℉, 英文数字: bug report example@gmail.com or visit http://code.google.com/p/jcseg, we all admire the hacker spirit!特殊数字: ① ⑩ ⑽ ㈩.
分词结果:
歧义 和 同义词 : 研究 琢磨 研讨 钻研 生命 起源 , 混合词 : 做 b超 检查 身体 , x射线 本质 是 什么 , 今天 去 奇都ktv 唱 卡拉ok 去 , 哆啦a梦 是 一个 动漫 中 的 主角 , 单位 和 全角 : 2009年 8月 6日 开始 大学 之旅 , 岳阳 今天 的 气温 为 38.6℃ , 也就是 101.48℉ , 英文 英语 数字 : bug report example gmail com example@gmail.com or visit http : / / code google com code.google.com / p / jcseg , we all admire appreciate like love enjoy the hacker spirit mind ! 特殊 数字 : .

Friso安装

Linux:

cd到friso的根目录,运行:

make
sudo make install

# for testing
make testing

备注:如果是 64 位的系统,请将/usr/lib/libfriso.so 拷贝一份到/usr/lib64 中

Winnt:

  1. 使用 VS 编译得到 dll 和 lib 文件,具体可以参考 Friso 讨论:http://www.oschina.net/question/853816_135216
  2. 使用 cygwin 从源码编译; 删除原有的 Makefile, 更改 Makefile.cygwin 为 Makefile, 打开 cygwin 的终端,cd 到 Friso 的 src 目录,运行:
make

备注:在Friso的src目录下即可得到friso.exe和friso.dll文件。

Friso配置

Friso 要做的配置工作很简单,找到 friso.ini 配置文件, 使用文本编辑器打开即可

配置说明:

# friso configuration file.
#	do not change the name of the left key.
# @email	chenxin619315@gmail.com
# @date		2012-12-20
#

# charset, only UTF8 and GBK support.
# set it with UTF8(0) or GBK(1)
friso.charset = 0

# lexicon directory absolute path.
#	the value must end with '/'
# this will tell friso how to find friso.lex.ini configuration file and all the lexicon files.
#
# if it is not start with '/' for linux, or matches no ':' for winnt in its value 
#	friso will search the friso.lex.ini relative to friso.ini
# absolute path search:
# linux:	friso.lex_dir = /c/products/friso/dict/UTF-8/
# Winnt:	friso.lex_dir = D:/products/friso/dict/UTF-8/
# relative path search (All system)
friso.lex_dir = ./vendors/dict/UTF-8/

# the maximum matching length.
friso.max_len = 5 

# 1 for recognition chinese name.
#	and 0 for closed it.
friso.r_name = 1

# the maximum length for the cjk words in a
#	chinese and english mixed word.
friso.mix_len = 2

# the maxinum length for the chinese last name adron.
friso.lna_len = 1

# append the synonyms words
friso.add_syn = 1

# clear the stopwords or not (1 to open it and 0 to close it)
# @date 2013-06-13
friso.clr_stw = 0

# keep the unrecongized words or not (1 to open it and 0 to close it)
# @date 2013-06-13
friso.keep_urec = 0

# use sphinx output style like 'admire|love|enjoy einsten'
# @date 2013-10-25
friso.spx_out = 0

# start the secondary segmentation for complex english token.
friso.en_sseg = 1

# min length of the secondary segmentation token. (better larger than 1)
friso.st_minl = 2

# default keep punctuations for english token.
friso.kpuncs = @%.#&+

# the threshold value for a char not a part of a chinese name.
friso.nthreshold = 2000000

# default mode for friso.
# 1 : simple mode - simply maxmum matching algorithm.
# 2 : complex mode - four rules of mmseg alogrithm.
# 3 : detect mode - only return the words that the do exists in the lexicon
friso.mode = 2

词库的配置:

  1. friso.ini中 friso.lex_dir 指向friso依赖的词库目录, 修改其值为词库目录绝对地址, 并且必须以”/”结尾。例如:friso.lex_dir = /usr/lib/friso/dict/
  2. 词库分为UTF-8和GBK编码的,根据你使用的编码需要选择加载对应编码的词库。

Friso插件

Friso目前提供了对php5, php7, ocaml, lua的分词插件:

语言 binding 作者 状态
php php5-binding dongyado<dongyado@gmail.com> 已完成
php php7-binding dongyado<dongyado@gmail.com> 已完成
ocaml ocaml-binding https://github.com/kandu 已完成
sphinx sphinx-binding lionsoul<chenxin619315@gmail.com> 开发中
lua lua-binding lionsoul<chenxin619315@gmail.com> 开发中

Friso分词接口

一个完整的demo:

/* 第一步:申明三个对象 */
friso_t friso;          /* Friso 分词对象 */
friso_config_t config;  /* Friso 配置对象 */
friso_task_t task;      /* Friso 任务对象 */

/* 第二步:初始化相应的对象 */
friso  = friso_new();
config = friso_new_config();
task   = friso_new_task();

/* 从friso.ini配置文件中初始化 friso */
if (friso_init_from_ifile(friso, config, "friso.ini文件地址") != 1) {
    /* friso 初始化失败 */
}

/*
 * 切分模式默认来自friso.ini中的设置
 * 可以通过friso_set_mode函数自定义切分模式(简易,复杂,检测模式)
 * 简易模式:__FRISO_SIMPLE_MODE__
 * 复杂模式:__FRISO_COMPLEX_MODE__
 * 检测模式:__FRISO_DETECT_MODE__
 * 例如,这里设置为使用复杂模式分词:
*/
friso_set_mode(config, __FRISO_COMPLEX_MODE__);


/* 第三步:设置分词内容 */
friso_set_text(task, "分词的文本");

/* 第四步:获取分词内容 */
while (config->next_token(friso, config, task) != NULL) {
    /* 
      task存储了分词的结果,
      task->token->word: 词条内容
      task->token->offset: 词条在原始文本的offset
      task->token->length: 词条的长度(字节数)
      task->token->rlen: 词条的真正字节数(Friso转换后的长度-字节数)
    */
    printf("%s ", task->token->word);
}


/* 第五步:释放对象 */
friso_free_task(task);
friso_free_config(config);
friso_free(friso);

备注:

  1. 第三步和第四步可以反复调用,使用friso_set_setx重置分词内容即可。
  2. 对于多线程环境,不同线程共享friso和config对象,需要分别初始化task使用对象。

Friso词库管理

词库分类定义

Friso 内部对词库进行了分类, 在管理词库前你需要先了解Friso的词库类别,分类整型值以及含义如下:

typedef enum {
 __LEX_CJK_WORDS__ = 0,     // 普通 CJK 词库
 __LEX_CJK_UNITS__ = 1,     // CJK 单位词库
 __LEX_ECM_WORDS__ = 2,     // 英中混合词(例如: b 超)
 __LEX_CEM_WORDS__ = 3,     // 中英混合词(例如: 卡拉 ok).
 __LEX_CN_LNAME__  = 4,     // 中文姓氏
 __LEX_CN_SNAME__  = 5,     // 中文单姓名词库
 __LEX_CN_DNAME1__ = 6,     // 中文双姓名首字词库
 __LEX_CN_DNAME2__ = 7,     // 中文双姓名尾字词库
 __LEX_CN_LNA__ = 8,        // 中文姓氏修饰词词库
 __LEX_STOPWORDS__ = 9,     // 停止词词库
 __LEX_ENPUN_WORDS__ = 10,  // 英文和标点混合词库(例如: c++)
 __LEX_OTHER_WORDS__ = 15,  // 无用
 __LEX_NCSYN_WORDS__ = 16   // 无用
} friso_lex_t;

词库配置文件

词库目录下的 friso.lex.ini 配置文件存储了词库类别以及对应类别下的词库文件名称,是一对多的关系,默认的配置如下:

# main lexion
__LEX_CJK_WORDS__ :[
    lex-main.lex;
    lex-admin.lex;
    lex-chars.lex;
    lex-cn-mz.lex;
    lex-cn-place.lex;
    lex-company.lex;
    lex-festival.lex;
    lex-flname.lex;
    lex-food.lex;
    lex-lang.lex;
    lex-nation.lex;
    lex-net.lex;
    lex-org.lex;
    lex-touris.lex;
# add more here
]
# single chinese unit lexicon
__LEX_CJK_UNITS__ :[
    lex-units.lex;
]
# chinese and english mixed word lexicon like "b超".
__LEX_ECM_WORDS__:[
    lex-ecmixed.lex;
]
# english and chinese mixed word lexicon like "卡拉ok".
__LEX_CEM_WORDS__:[
    lex-cemixed.lex;
]
# chinese last name lexicon.
__LEX_CN_LNAME__:[
    lex-lname.lex;
]
# single name words lexicon.
__LEX_CN_SNAME__:[
    lex-sname.lex;
]
# first word of a double chinese name.
__LEX_CN_DNAME1__:[
    lex-dname-1.lex;
]
# second word of a double chinese name.
__LEX_CN_DNAME2__:[
    lex-dname-2.lex;
]
# chinese last name decorate word.
__LEX_CN_LNA__:[
    lex-ln-adorn.lex;
]
# stopwords lexicon
__LEX_STOPWORDS__:[
    lex-stopword.lex;
]
# english and punctuation mixed words lexicon.
__LEX_ENPUN_WORDS__:[
    lex-en-pun.lex;
]
# english words(for synonyms words)
__LEX_EN_WORDS__:[
    lex-en.lex;
]

新增词库文件

  1. 确认类别:首先确认你要加入的词库文件的类别.
  2. 新建词库:例如: 我想添加一个词库文件专门用来存储植物的名字, 在dict/下新建 lex-plants.lex文件, 然后按照一个词条一行的规则加入词条到该文件中.
  3. 启用词库:接下来还有一个重要的步骤就是将该词库归类到 friso.lex.ini 中去, 通常的词库都是 CJK 词库, 也就是将lex-plants.lex 作为一行加入到 LEX_CJK_WORDS 类别下即可。
# main lexion
__LEX_CJK_WORDS__ :[
    lex-main.lex;
    lex-admin.lex;
    lex-chars.lex;
    lex-cn-mz.lex;
    lex-cn-place.lex;
    lex-company.lex;
    lex-festival.lex;
    lex-flname.lex;
    lex-food.lex;
    lex-lang.lex;
    lex-nation.lex;
    lex-net.lex;
    lex-org.lex;
    lex-touris.lex;
# 新增的植物名称词库
    lex-plants.lex;
# add more here
]

给词库新增词条

找到对应的词库文件, 使用文本编辑器打开, 将要加入的词条按照下面的格式作为一行加入即可(备注:加入前建议先确认下相同的词条不存在)。

Friso 词库词条格式:

词条/同义词集合

同义词没有使用 null 代替, 多个同义词使用英文逗号隔开,例如:

你好/null
研究/琢磨,研讨,钻研

相关附录

参考文献

  1. MMSEG算法原著:http://technology.chtsai.org/mmseg/

技术交流分享

  1. 旧版的参考pdf参考文献:请参考项目下的 friso-help-doc.pdf
  2. 使用案例典范:RediSearch~信息检索
  3. NLP博客分享:微信公众号:lionsoul-org(狮子的魂)
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Friso 是使用 c 语言开发的一款开源的高性能中文分词器,使用流行的mmseg算法实现。完全基于模块化设计和实现,可以很方便的植入其他程序中, 例如:MySQL,PHP,并且提供了php5, php7, ocaml, lua的插件实现 expand collapse
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