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https://github.com/fukuball/jieba-php

"結巴"中文分詞：做最好的 PHP 中文分詞、中文斷詞組件。 / "Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese word segmentation module.
https://github.com/fukuball/jieba-php
chinese-text-segmentation machine-learning natural-language-processing nlp
Last synced: 7 days ago
JSON representation
"結巴"中文分詞：做最好的 PHP 中文分詞、中文斷詞組件。 / "Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese word segmentation module.
Host: GitHub
URL: https://github.com/fukuball/jieba-php
Owner: fukuball
License: mit
Created: 2015-04-23T08:29:45.000Z (over 9 years ago)
Default Branch: master
Last Pushed: 2022-08-15T06:50:34.000Z (over 2 years ago)
Last Synced: 2024-11-20T20:42:46.994Z (21 days ago)
Topics: chinese-text-segmentation, machine-learning, natural-language-processing, nlp
Language: PHP
Homepage: http://jieba-php.fukuball.com
Size: 38.4 MB
Stars: 1,324
Watchers: 56
Forks: 261
Open Issues: 24
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project

awesome-php - Jieba-PHP - A PHP port of Python's jieba. Chinese text segmentation for natural language processing. (Table of Contents / Strings)
awesome-php-cn - Jieba-PHP - 一个PHP Python的jieba港. 中文文本分词为自然语言处理. (目录 / 字符串 Strings)
awesome-projects - Jieba-PHP - A PHP port of Python's jieba. Chinese text segmentation for natural language processing. (PHP / Strings)
awesome-php - Jieba-PHP - A PHP port of Python's jieba. Chinese text segmentation for natural language processing. (Table of Contents / Strings)
README

        [jieba-php](http://www.fukuball.com/jieba-php/)

=========

[![Build Status](https://travis-ci.org/fukuball/jieba-php.svg?branch=master)](https://travis-ci.org/fukuball/jieba-php)

[![codecov.io](http://codecov.io/github/fukuball/jieba-php/coverage.svg?branch=master)](http://codecov.io/github/fukuball/jieba-php?branch=master)

[![Latest Stable Version](https://poser.pugx.org/fukuball/jieba-php/v/stable.png)](https://packagist.org/packages/fukuball/jieba-php)

[![Codacy Badge](https://api.codacy.com/project/badge/grade/9360ebe8fc2d47d8a64f49f57d2f016f)](https://www.codacy.com/app/fukuball/jieba-php)

[![Made with Love](https://img.shields.io/badge/made%20with-%e2%9d%a4-ff69b4.svg)](http://www.fukuball.com)

"結巴"中文分詞：做最好的 PHP 中文分詞、中文斷詞組件，目前翻譯版本為 jieba-0.33 版本，未來再慢慢往上升級，效能也需要再改善，請有興趣的開發者一起加入開發！若想使用 Python 版本請前往 [fxsjy/jieba](https://github.com/fxsjy/jieba)

現在已經可以支援繁體中文！只要將字典切換為 big 模式即可！

"Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese word segmentation module.

_Scroll down for English documentation._

線上展示

========

* 網站網址：[http://jieba-php.fukuball.com](http://jieba-php.fukuball.com)

* 網站原始碼：[https://github.com/fukuball/jieba-php.fukuball.com](https://github.com/fukuball/jieba-php.fukuball.com)

Feature

========

* 支持三種分詞模式：

* 1）默認精確模式，試圖將句子最精確地切開，適合文本分析；

* 2）全模式，把句子中所有的可以成詞的詞語都掃描出來，但是不能解決歧義。（需要充足的字典）

* 3) 搜尋引擎模式，在精確模式的基礎上，對長詞再次切分，提高召回率，適合用於搜尋引擎分詞。

* 支持繁體斷詞

* 支持自定義詞典

Usage

========

* 自動安裝：使用 composer 安裝後，透過 autoload 引用

代碼示例

```php

composer require fukuball/jieba-php:dev-master

```

代碼示例

```php

require_once "/path/to/your/vendor/autoload.php";

```

* 手動安裝：將 jieba-php 放置適當目錄後，透過 require_once 引用

代碼示例

```php

require_once "/path/to/your/vendor/multi-array/MultiArray.php";

require_once "/path/to/your/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once "/path/to/your/class/Jieba.php";

require_once "/path/to/your/class/Finalseg.php";

```

Algorithm

========

* 基於 Trie 樹結構實現高效的詞圖掃描，生成句子中漢字所有可能成詞情況所構成的有向無環圖（DAG)

* 採用了動態規劃查找最大概率路徑, 找出基於詞頻的最大切分組合

* 對於未登錄詞，採用了基於漢字成詞能力的 HMM 模型，使用了 Viterbi 算法

* BEMS 的解釋 [https://github.com/fxsjy/jieba/issues/7](https://github.com/fxsjy/jieba/issues/7)

Interface

========

* 組件只提供 jieba.cut 方法用於分詞

* cut 方法接受兩個輸入參數: 1) 第一個參數為需要分詞的字符串 2）cut_all 參數用來控制分詞模式

* 待分詞的字符串可以是 utf-8 字符串

* jieba.cut 返回的結構是一個可迭代的 array

功能 1)：分词

============

* `cut` 方法接受想個輸入參數： 1) 第一個參數為需要分詞的字符串 2）cut_all 參數用來控制分詞模式

* `cutForSearch` 方法接受一個參數：需要分詞的字符串，該方法適合用於搜索引擎構建倒排索引的分詞，粒度比較細

* 注意：待分詞的字符串是 utf-8 字符串

* `cut` 以及 `cutForSearch` 返回的結構是一個可迭代的 array

代碼示例 (Tutorial)

```php

ini_set('memory_limit', '1024M');

require_once "/path/to/your/vendor/multi-array/MultiArray.php";

require_once "/path/to/your/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once "/path/to/your/class/Jieba.php";

require_once "/path/to/your/class/Finalseg.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

Jieba::init();

Finalseg::init();

$seg_list = Jieba::cut("怜香惜玉也得要看对象啊！");

var_dump($seg_list);

$seg_list = Jieba::cut("我来到北京清华大学", true);

var_dump($seg_list); #全模式

$seg_list = Jieba::cut("我来到北京清华大学", false);

var_dump($seg_list); #默認精確模式

$seg_list = Jieba::cut("他来到了网易杭研大厦");

var_dump($seg_list);

$seg_list = Jieba::cutForSearch("小明硕士毕业于中国科学院计算所，后在日本京都大学深造"); #搜索引擎模式

var_dump($seg_list);

```

Output:

```php

array(7) {

  [0]=>

  string(12) "怜香惜玉"

  [1]=>

  string(3) "也"

  [2]=>

  string(3) "得"

  [3]=>

  string(3) "要"

  [4]=>

  string(3) "看"

  [5]=>

  string(6) "对象"

  [6]=>

  string(3) "啊"

}

Full Mode:

array(15) {

  [0]=>

  string(3) "我"

  [1]=>

  string(3) "来"

  [2]=>

  string(6) "来到"

  [3]=>

  string(3) "到"

  [4]=>

  string(3) "北"

  [5]=>

  string(6) "北京"

  [6]=>

  string(3) "京"

  [7]=>

  string(3) "清"

  [8]=>

  string(6) "清华"

  [9]=>

  string(12) "清华大学"

  [10]=>

  string(3) "华"

  [11]=>

  string(6) "华大"

  [12]=>

  string(3) "大"

  [13]=>

  string(6) "大学"

  [14]=>

  string(3) "学"

}

Default Mode:

array(4) {

  [0]=>

  string(3) "我"

  [1]=>

  string(6) "来到"

  [2]=>

  string(6) "北京"

  [3]=>

  string(12) "清华大学"

}

array(6) {

  [0]=>

  string(3) "他"

  [1]=>

  string(6) "来到"

  [2]=>

  string(3) "了"

  [3]=>

  string(6) "网易"

  [4]=>

  string(6) "杭研"

  [5]=>

  string(6) "大厦"

}

(此處，“杭研“並沒有在詞典中，但是也被 Viterbi 算法識別出來了)

Search Engine Mode:

array(18) {

  [0]=>

  string(6) "小明"

  [1]=>

  string(6) "硕士"

  [2]=>

  string(6) "毕业"

  [3]=>

  string(3) "于"

  [4]=>

  string(6) "中国"

  [5]=>

  string(6) "科学"

  [6]=>

  string(6) "学院"

  [7]=>

  string(9) "科学院"

  [8]=>

  string(15) "中国科学院"

  [9]=>

  string(6) "计算"

  [10]=>

  string(9) "计算所"

  [11]=>

  string(3) "后"

  [12]=>

  string(3) "在"

  [13]=>

  string(6) "日本"

  [14]=>

  string(6) "京都"

  [15]=>

  string(6) "大学"

  [16]=>

  string(18) "日本京都大学"

  [17]=>

  string(6) "深造"

}

```

功能 2)：添加自定義詞典

====================

* 開發者可以指定自己自定義的詞典，以便包含 jieba 詞庫裡沒有的詞。雖然 jieba 有新詞識別能力，但是自行添加新詞可以保證更高的正確率

* 用法： Jieba::loadUserDict(file_name) # file_name 為自定義詞典的絕對路徑

* 詞典格式和 dict.txt 一樣，一個詞佔一行；每一行分為三部分，一部分為詞語，一部分為詞頻，一部分為詞性，用空格隔開

* 範例：

  云计算 5 n

  李小福 2 n

  创新办 3 n

  之前： 李小福 / 是 / 创新 / 办 / 主任 / 也 / 是 / 云 / 计算 / 方面 / 的 / 专家 /

  加載自定義詞庫後：　李小福 / 是 / 创新办 / 主任 / 也 / 是 / 云计算 / 方面 / 的 / 专家 /

說明："通过用户自定义词典来增强歧义纠错能力" --- https://github.com/fxsjy/jieba/issues/14

* 自定義詞典：https://github.com/fukuball/jieba-php/blob/master/src/dict/user_dict.txt

功能 3)：關鍵詞提取

==============

* JiebaAnalyse::extractTags($content, $top_k)

* content 為待提取的文本

* top_k 為返回幾個 TF/IDF 權重最大的關鍵詞，默認值為 20

* 可使用 setStopWords 增加自定義 stop words

代碼示例 (關鍵詞提取)

```php

ini_set('memory_limit', '600M');

require_once "/path/to/your/vendor/multi-array/MultiArray.php";

require_once "/path/to/your/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once "/path/to/your/class/Jieba.php";

require_once "/path/to/your/class/Finalseg.php";

require_once "/path/to/your/class/JiebaAnalyse.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

use Fukuball\Jieba\JiebaAnalyse;

Jieba::init(array('mode'=>'test','dict'=>'small'));

Finalseg::init();

JiebaAnalyse::init();

$top_k = 10;

$content = file_get_contents("/path/to/your/dict/lyric.txt", "r");

$tags = JiebaAnalyse::extractTags($content, $top_k);

var_dump($tags);

JiebaAnalyse::setStopWords('/path/to/your/dict/stop_words.txt');

$tags = JiebaAnalyse::extractTags($content, $top_k);

var_dump($tags);

```

Output:

```php

array(10) {

  '沒有' =>

  double(1.0592831964595)

  '所謂' =>

  double(0.90795702553671)

  '是否' =>

  double(0.66385043195443)

  '一般' =>

  double(0.54607060161899)

  '雖然' =>

  double(0.30265234184557)

  '來說' =>

  double(0.30265234184557)

  '肌迫' =>

  double(0.30265234184557)

  '退縮' =>

  double(0.30265234184557)

  '矯作' =>

  double(0.30265234184557)

  '怯懦' =>

  double(0.24364586159392)

}

array(10) {

  '所謂' =>

  double(1.1569129841516)

  '一般' =>

  double(0.69579963754677)

  '矯作' =>

  double(0.38563766138387)

  '來說' =>

  double(0.38563766138387)

  '退縮' =>

  double(0.38563766138387)

  '雖然' =>

  double(0.38563766138387)

  '肌迫' =>

  double(0.38563766138387)

  '怯懦' =>

  double(0.31045198493419)

  '隨便說說' =>

  double(0.19281883069194)

  '一場' =>

  double(0.19281883069194)

}

```

功能 4)：詞性分詞

==============

* 詞性說明：[https://gist.github.com/luw2007/6016931](https://gist.github.com/luw2007/6016931)

代碼示例 (Tutorial)

```php

ini_set('memory_limit', '600M');

require_once dirname(dirname(__FILE__))."/vendor/multi-array/MultiArray.php";

require_once dirname(dirname(__FILE__))."/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once dirname(dirname(__FILE__))."/class/Jieba.php";

require_once dirname(dirname(__FILE__))."/class/Finalseg.php";

require_once dirname(dirname(__FILE__))."/class/Posseg.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

use Fukuball\Jieba\Posseg;

Jieba::init();

Finalseg::init();

Posseg::init();

$seg_list = Posseg::cut("这是一个伸手不见五指的黑夜。我叫孙悟空，我爱北京，我爱Python和C++。");

var_dump($seg_list);

```

Output:

```php

array(21) {

  [0]=>

  array(2) {

    ["word"]=>

    string(3) "这"

    ["tag"]=>

    string(1) "r"

  }

  [1]=>

  array(2) {

    ["word"]=>

    string(3) "是"

    ["tag"]=>

    string(1) "v"

  }

  [2]=>

  array(2) {

    ["word"]=>

    string(6) "一个"

    ["tag"]=>

    string(1) "m"

  }

  [3]=>

  array(2) {

    ["word"]=>

    string(18) "伸手不见五指"

    ["tag"]=>

    string(1) "i"

  }

  [4]=>

  array(2) {

    ["word"]=>

    string(3) "的"

    ["tag"]=>

    string(2) "uj"

  }

  [5]=>

  array(2) {

    ["word"]=>

    string(6) "黑夜"

    ["tag"]=>

    string(1) "n"

  }

  [6]=>

  array(2) {

    ["word"]=>

    string(3) "。"

    ["tag"]=>

    string(1) "x"

  }

  [7]=>

  array(2) {

    ["word"]=>

    string(3) "我"

    ["tag"]=>

    string(1) "r"

  }

  [8]=>

  array(2) {

    ["word"]=>

    string(3) "叫"

    ["tag"]=>

    string(1) "v"

  }

  [9]=>

  array(2) {

    ["word"]=>

    string(9) "孙悟空"

    ["tag"]=>

    string(2) "nr"

  }

  [10]=>

  array(2) {

    ["word"]=>

    string(3) "，"

    ["tag"]=>

    string(1) "x"

  }

  [11]=>

  array(2) {

    ["word"]=>

    string(3) "我"

    ["tag"]=>

    string(1) "r"

  }

  [12]=>

  array(2) {

    ["word"]=>

    string(3) "爱"

    ["tag"]=>

    string(1) "v"

  }

  [13]=>

  array(2) {

    ["word"]=>

    string(6) "北京"

    ["tag"]=>

    string(2) "ns"

  }

  [14]=>

  array(2) {

    ["word"]=>

    string(3) "，"

    ["tag"]=>

    string(1) "x"

  }

  [15]=>

  array(2) {

    ["word"]=>

    string(3) "我"

    ["tag"]=>

    string(1) "r"

  }

  [16]=>

  array(2) {

    ["word"]=>

    string(3) "爱"

    ["tag"]=>

    string(1) "v"

  }

  [17]=>

  array(2) {

    ["word"]=>

    string(6) "Python"

    ["tag"]=>

    string(3) "eng"

  }

  [18]=>

  array(2) {

    ["word"]=>

    string(3) "和"

    ["tag"]=>

    string(1) "c"

  }

  [19]=>

  array(2) {

    ["word"]=>

    string(3) "C++"

    ["tag"]=>

    string(3) "eng"

  }

  [20]=>

  array(2) {

    ["word"]=>

    string(3) "。"

    ["tag"]=>

    string(1) "x"

  }

}

```

功能 5)：切換成繁體字典

==============

代碼示例 (Tutorial)

```php

ini_set('memory_limit', '1024M');

require_once dirname(dirname(__FILE__))."/vendor/multi-array/MultiArray.php";

require_once dirname(dirname(__FILE__))."/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once dirname(dirname(__FILE__))."/class/Jieba.php";

require_once dirname(dirname(__FILE__))."/class/Finalseg.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

Jieba::init(array('mode'=>'default','dict'=>'big'));

Finalseg::init();

$seg_list = Jieba::cut("怜香惜玉也得要看对象啊！");

var_dump($seg_list);

$seg_list = Jieba::cut("憐香惜玉也得要看對象啊！");

var_dump($seg_list);

```

Output:

```php

array(7) {

  [0]=>

  string(12) "怜香惜玉"

  [1]=>

  string(3) "也"

  [2]=>

  string(3) "得"

  [3]=>

  string(3) "要"

  [4]=>

  string(3) "看"

  [5]=>

  string(6) "对象"

  [6]=>

  string(3) "啊"

}

array(7) {

  [0]=>

  string(12) "憐香惜玉"

  [1]=>

  string(3) "也"

  [2]=>

  string(3) "得"

  [3]=>

  string(3) "要"

  [4]=>

  string(3) "看"

  [5]=>

  string(6) "對象"

  [6]=>

  string(3) "啊"

}

```

功能 5)：切換成繁體字典

==============

代碼示例 (Tutorial)

```php

ini_set('memory_limit', '1024M');

require_once dirname(dirname(__FILE__))."/vendor/multi-array/MultiArray.php";

require_once dirname(dirname(__FILE__))."/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once dirname(dirname(__FILE__))."/class/Jieba.php";

require_once dirname(dirname(__FILE__))."/class/Finalseg.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

Jieba::init(array('mode'=>'default','dict'=>'big'));

Finalseg::init();

$seg_list = Jieba::cut("怜香惜玉也得要看对象啊！");

var_dump($seg_list);

$seg_list = Jieba::cut("憐香惜玉也得要看對象啊！");

var_dump($seg_list);

```

Output:

```php

array(7) {

  [0]=>

  string(12) "怜香惜玉"

  [1]=>

  string(3) "也"

  [2]=>

  string(3) "得"

  [3]=>

  string(3) "要"

  [4]=>

  string(3) "看"

  [5]=>

  string(6) "对象"

  [6]=>

  string(3) "啊"

}

array(7) {

  [0]=>

  string(12) "憐香惜玉"

  [1]=>

  string(3) "也"

  [2]=>

  string(3) "得"

  [3]=>

  string(3) "要"

  [4]=>

  string(3) "看"

  [5]=>

  string(6) "對象"

  [6]=>

  string(3) "啊"

}

```

功能 6)：保留日语或者朝鲜语原文不进行过滤

==============

代碼示例 (Tutorial)

```php

ini_set('memory_limit', '1024M');

require_once dirname(dirname(__FILE__))."/vendor/multi-array/MultiArray.php";

require_once dirname(dirname(__FILE__))."/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once dirname(dirname(__FILE__))."/class/Jieba.php";

require_once dirname(dirname(__FILE__))."/class/Finalseg.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

Jieba::init(array('cjk'=>'all'));

Finalseg::init();

$seg_list = Jieba::cut("한국어 또는 조선말은 제주특별자치도를 제외한 한반도 및 그 부속 도서와 한민족 거주 지역에서 쓰이는 언어로");

var_dump($seg_list);

$seg_list = Jieba::cut("日本語は、主に日本国内や日本人同士の間で使われている言語である。");

var_dump($seg_list);

// 加载日语词库可以对日语进行简单的分词

Jieba::loadUserDict("/path/to/your/japanese/dict.txt");

$seg_list = Jieba::cut("日本語は、主に日本国内や日本人同士の間で使われている言語である。");

var_dump($seg_list);

```

Output:

```php

array(15) {

  [0]=>

  string(9) "한국어"

  [1]=>

  string(6) "또는"

  [2]=>

  string(12) "조선말은"

  [3]=>

  string(24) "제주특별자치도를"

  [4]=>

  string(9) "제외한"

  [5]=>

  string(9) "한반도"

  [6]=>

  string(3) "및"

  [7]=>

  string(3) "그"

  [8]=>

  string(6) "부속"

  [9]=>

  string(9) "도서와"

  [10]=>

  string(9) "한민족"

  [11]=>

  string(6) "거주"

  [12]=>

  string(12) "지역에서"

  [13]=>

  string(9) "쓰이는"

  [14]=>

  string(9) "언어로"

}

array(21) {

  [0]=>

  string(6) "日本"

  [1]=>

  string(3) "語"

  [2]=>

  string(3) "は"

  [3]=>

  string(3) "主"

  [4]=>

  string(3) "に"

  [5]=>

  string(6) "日本"

  [6]=>

  string(6) "国内"

  [7]=>

  string(3) "や"

  [8]=>

  string(6) "日本"

  [9]=>

  string(3) "人"

  [10]=>

  string(6) "同士"

  [11]=>

  string(3) "の"

  [12]=>

  string(3) "間"

  [13]=>

  string(3) "で"

  [14]=>

  string(3) "使"

  [15]=>

  string(3) "わ"

  [16]=>

  string(6) "れて"

  [17]=>

  string(6) "いる"

  [18]=>

  string(6) "言語"

  [19]=>

  string(3) "で"

  [20]=>

  string(6) "ある"

}

array(17) {

  [0]=>

  string(9) "日本語"

  [1]=>

  string(3) "は"

  [2]=>

  string(6) "主に"

  [3]=>

  string(9) "日本国"

  [4]=>

  string(3) "内"

  [5]=>

  string(3) "や"

  [6]=>

  string(9) "日本人"

  [7]=>

  string(6) "同士"

  [8]=>

  string(3) "の"

  [9]=>

  string(3) "間"

  [10]=>

  string(3) "で"

  [11]=>

  string(3) "使"

  [12]=>

  string(3) "わ"

  [13]=>

  string(6) "れて"

  [14]=>

  string(6) "いる"

  [15]=>

  string(6) "言語"

  [16]=>

  string(9) "である"

}

```

功能 7)：返回詞語在原文的起止位置

==============

代碼示例 (Tutorial)

```php

ini_set('memory_limit', '1024M');

require_once dirname(dirname(__FILE__))."/vendor/multi-array/MultiArray.php";

require_once dirname(dirname(__FILE__))."/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once dirname(dirname(__FILE__))."/class/Jieba.php";

require_once dirname(dirname(__FILE__))."/class/Finalseg.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

Jieba::init(array('mode'=>'test','dict'=>'big'));

Finalseg::init();

$seg_list = Jieba::tokenize("永和服装饰品有限公司");

var_dump($seg_list);

```

Output:

```php

array(4) {

  [0] =>

  array(3) {

    'word' =>

    string(6) "永和"

    'start' =>

    int(0)

    'end' =>

    int(2)

  }

  [1] =>

  array(3) {

    'word' =>

    string(6) "服装"

    'start' =>

    int(2)

    'end' =>

    int(4)

  }

  [2] =>

  array(3) {

    'word' =>

    string(6) "饰品"

    'start' =>

    int(4)

    'end' =>

    int(6)

  }

  [3] =>

  array(3) {

    'word' =>

    string(12) "有限公司"

    'start' =>

    int(6)

    'end' =>

    int(10)

  }

}

```

其他詞典

========

1) 佔用內容較小的詞典

https://github.com/fukuball/jieba-php/blob/master/src/dict/dict.small.txt

2) 支持繁體斷詞的詞典

https://github.com/fukuball/jieba-php/blob/master/src/dict/dict.big.txt

常見問題

========

1) 模型的數據是如何生成的？ https://github.com/fxsjy/jieba/issues/7

2) 這個庫的授權是？ https://github.com/fxsjy/jieba/issues/2

jieba-php English Document

=========

Online Demo

========

* Demo Site Url：[http://jieba-php.fukuball.com](http://jieba-php.fukuball.com)

* Demo Site Repo：[https://github.com/fukuball/jieba-php.fukuball.com](https://github.com/fukuball/jieba-php.fukuball.com)

Feature

========

* Support three types of segmentation mode:

* 1) Accurate Mode, attempt to cut the sentence into the most accurate segmentation, which is suitable for text analysis;

* 2) Full Mode, break the words of the sentence into words scanned

* 3) Search Engine Mode, based on the Accurate Mode, with an attempt to cut the long words into several short words, which can enhance the recall rate

Usage

========

* Installation: Use composer to install jieba-php, then require the autoload file to use jieba-php.

Algorithm

========

* Based on the Trie tree structure to achieve efficient word graph scanning; sentences using Chinese characters constitute a directed acyclic graph (DAG).

* Employs memory search to calculate the maximum probability path, in order to identify the maximum tangential points based on word frequency combination.

* For unknown words, the character position HMM-based model is used, using the Viterbi algorithm.

* The meaning of BEMS [https://github.com/fxsjy/jieba/issues/7](https://github.com/fxsjy/jieba/issues/7).

Interface

========

* The `cut` method accepts two parameters: 1) first parameter is the string to segmentation 2）the second parameter `cut_all` to control segmentation mode.

* The string to segmentation may use utf-8 string.

* `cutForSearch` accpets only on parameter: the string that requires segmentation, and it will cut the sentence into short words

* `cut` and `cutForSearch` return an segmented array.

Function 1) Segmentation

============

Example (Tutorial)

```php

ini_set('memory_limit', '1024M');

require_once "/path/to/your/vendor/multi-array/MultiArray.php";

require_once "/path/to/your/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once "/path/to/your/class/Jieba.php";

require_once "/path/to/your/class/Finalseg.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

Jieba::init();

Finalseg::init();

$seg_list = Jieba::cut("怜香惜玉也得要看对象啊！");

var_dump($seg_list);

seg_list = jieba.cut("我来到北京清华大学", true)

var_dump($seg_list); #全模式

seg_list = jieba.cut("我来到北京清华大学", false)

var_dump($seg_list); #默認精確模式

seg_list = jieba.cut("他来到了网易杭研大厦")

var_dump($seg_list);

seg_list = jieba.cut_for_search("小明硕士毕业于中国科学院计算所，后在日本京都大学深造") #搜索引擎模式

var_dump($seg_list);

```

Output:

```php

array(7) {

  [0]=>

  string(12) "怜香惜玉"

  [1]=>

  string(3) "也"

  [2]=>

  string(3) "得"

  [3]=>

  string(3) "要"

  [4]=>

  string(3) "看"

  [5]=>

  string(6) "对象"

  [6]=>

  string(3) "啊"

}

Full Mode:

array(15) {

  [0]=>

  string(3) "我"

  [1]=>

  string(3) "来"

  [2]=>

  string(6) "来到"

  [3]=>

  string(3) "到"

  [4]=>

  string(3) "北"

  [5]=>

  string(6) "北京"

  [6]=>

  string(3) "京"

  [7]=>

  string(3) "清"

  [8]=>

  string(6) "清华"

  [9]=>

  string(12) "清华大学"

  [10]=>

  string(3) "华"

  [11]=>

  string(6) "华大"

  [12]=>

  string(3) "大"

  [13]=>

  string(6) "大学"

  [14]=>

  string(3) "学"

}

Default Mode:

array(4) {

  [0]=>

  string(3) "我"

  [1]=>

  string(6) "来到"

  [2]=>

  string(6) "北京"

  [3]=>

  string(12) "清华大学"

}

array(6) {

  [0]=>

  string(3) "他"

  [1]=>

  string(6) "来到"

  [2]=>

  string(3) "了"

  [3]=>

  string(6) "网易"

  [4]=>

  string(6) "杭研"

  [5]=>

  string(6) "大厦"

}

(此處，“杭研“並沒有在詞典中，但是也被 Viterbi 算法識別出來了)

Search Engine Mode:

array(18) {

  [0]=>

  string(6) "小明"

  [1]=>

  string(6) "硕士"

  [2]=>

  string(6) "毕业"

  [3]=>

  string(3) "于"

  [4]=>

  string(6) "中国"

  [5]=>

  string(6) "科学"

  [6]=>

  string(6) "学院"

  [7]=>

  string(9) "科学院"

  [8]=>

  string(15) "中国科学院"

  [9]=>

  string(6) "计算"

  [10]=>

  string(9) "计算所"

  [11]=>

  string(3) "后"

  [12]=>

  string(3) "在"

  [13]=>

  string(6) "日本"

  [14]=>

  string(6) "京都"

  [15]=>

  string(6) "大学"

  [16]=>

  string(18) "日本京都大学"

  [17]=>

  string(6) "深造"

}

```

Function 2) Add a custom dictionary

====================

* Developers can specify their own custom dictionary to include in the jieba thesaurus. jieba has the ability to identify new words, but adding your own new words can ensure a higher rate of correct segmentation.

* Usage: `Jieba::loadUserDict(file_name)` # file_name is a custom dictionary path.

* The dictionary format is the same as that of `dict.txt`: one word per line; each line is divided into two parts, the first is the word itself, the other is the word frequency, separated by a space.

* Example:

  云计算 5

  李小福 2

  创新办 3

  之前： 李小福 / 是 / 创新 / 办 / 主任 / 也 / 是 / 云 / 计算 / 方面 / 的 / 专家 /

  加載自定義詞庫後：　李小福 / 是 / 创新办 / 主任 / 也 / 是 / 云计算 / 方面 / 的 / 专家 /

Function 3) Keyword Extraction

==============

* JiebaAnalyse::extractTags($content, $top_k)

* content: the text to be extracted

* top_k: to return several TF/IDF weights for the biggest keywords, the default value is 20

Example (keyword extraction)

```php

ini_set('memory_limit', '600M');

require_once "/path/to/your/vendor/multi-array/MultiArray.php";

require_once "/path/to/your/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once "/path/to/your/class/Jieba.php";

require_once "/path/to/your/class/Finalseg.php";

require_once "/path/to/your/class/JiebaAnalyse.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

use Fukuball\Jieba\JiebaAnalyse;

Jieba::init(array('mode'=>'test','dict'=>'small'));

Finalseg::init();

JiebaAnalyse::init();

$top_k = 10;

$content = file_get_contents("/path/to/your/dict/lyric.txt", "r");

$tags = JiebaAnalyse::extractTags($content, $top_k);

var_dump($tags);

```

Output:

```php

array(10) {

  ["是否"]=>

  float(1.2196321889395)

  ["一般"]=>

  float(1.0032459890209)

  ["肌迫"]=>

  float(0.64654314660465)

  ["怯懦"]=>

  float(0.44762844339349)

  ["藉口"]=>

  float(0.32327157330233)

  ["逼不得已"]=>

  float(0.32327157330233)

  ["不安全感"]=>

  float(0.26548304656279)

  ["同感"]=>

  float(0.23929673812326)

  ["有把握"]=>

  float(0.21043366018744)

  ["空洞"]=>

  float(0.20598261709442)

}

```

Function 4) Word Segmentation and Tagging

==============

* Word Tagging Meaning：[https://gist.github.com/luw2007/6016931](https://gist.github.com/luw2007/6016931)

Example (word tagging)

```php

ini_set('memory_limit', '600M');

require_once dirname(dirname(__FILE__))."/vendor/multi-array/MultiArray.php";

require_once dirname(dirname(__FILE__))."/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once dirname(dirname(__FILE__))."/class/Jieba.php";

require_once dirname(dirname(__FILE__))."/class/Finalseg.php";

require_once dirname(dirname(__FILE__))."/class/Posseg.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

use Fukuball\Jieba\Posseg;

Jieba::init();

Finalseg::init();

Posseg::init();

$seg_list = Posseg::cut("这是一个伸手不见五指的黑夜。我叫孙悟空，我爱北京，我爱Python和C++。");

var_dump($seg_list);

```

Output:

```php

array(21) {

  [0]=>

  array(2) {

    ["word"]=>

    string(3) "这"

    ["tag"]=>

    string(1) "r"

  }

  [1]=>

  array(2) {

    ["word"]=>

    string(3) "是"

    ["tag"]=>

    string(1) "v"

  }

  [2]=>

  array(2) {

    ["word"]=>

    string(6) "一个"

    ["tag"]=>

    string(1) "m"

  }

  [3]=>

  array(2) {

    ["word"]=>

    string(18) "伸手不见五指"

    ["tag"]=>

    string(1) "i"

  }

  [4]=>

  array(2) {

    ["word"]=>

    string(3) "的"

    ["tag"]=>

    string(2) "uj"

  }

  [5]=>

  array(2) {

    ["word"]=>

    string(6) "黑夜"

    ["tag"]=>

    string(1) "n"

  }

  [6]=>

  array(2) {

    ["word"]=>

    string(3) "。"

    ["tag"]=>

    string(1) "w"

  }

  [7]=>

  array(2) {

    ["word"]=>

    string(3) "我"

    ["tag"]=>

    string(1) "r"

  }

  [8]=>

  array(2) {

    ["word"]=>

    string(3) "叫"

    ["tag"]=>

    string(1) "v"

  }

  [9]=>

  array(2) {

    ["word"]=>

    string(9) "孙悟空"

    ["tag"]=>

    string(2) "nr"

  }

  [10]=>

  array(2) {

    ["word"]=>

    string(3) "，"

    ["tag"]=>

    string(1) "w"

  }

  [11]=>

  array(2) {

    ["word"]=>

    string(3) "我"

    ["tag"]=>

    string(1) "r"

  }

  [12]=>

  array(2) {

    ["word"]=>

    string(3) "爱"

    ["tag"]=>

    string(1) "v"

  }

  [13]=>

  array(2) {

    ["word"]=>

    string(6) "北京"

    ["tag"]=>

    string(2) "ns"

  }

  [14]=>

  array(2) {

    ["word"]=>

    string(3) "，"

    ["tag"]=>

    string(1) "w"

  }

  [15]=>

  array(2) {

    ["word"]=>

    string(3) "我"

    ["tag"]=>

    string(1) "r"

  }

  [16]=>

  array(2) {

    ["word"]=>

    string(3) "爱"

    ["tag"]=>

    string(1) "v"

  }

  [17]=>

  array(2) {

    ["word"]=>

    string(6) "Python"

    ["tag"]=>

    string(3) "eng"

  }

  [18]=>

  array(2) {

    ["word"]=>

    string(3) "和"

    ["tag"]=>

    string(1) "c"

  }

  [19]=>

  array(2) {

    ["word"]=>

    string(3) "C++"

    ["tag"]=>

    string(3) "eng"

  }

  [20]=>

  array(2) {

    ["word"]=>

    string(3) "。"

    ["tag"]=>

    string(1) "w"

  }

}

```

Function 5)：Use Traditional Chinese

==============

Example (Tutorial)

```php

ini_set('memory_limit', '1024M');

require_once dirname(dirname(__FILE__))."/vendor/multi-array/MultiArray.php";

require_once dirname(dirname(__FILE__))."/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once dirname(dirname(__FILE__))."/class/Jieba.php";

require_once dirname(dirname(__FILE__))."/class/Finalseg.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

Jieba::init(array('mode'=>'default','dict'=>'big'));

Finalseg::init();

$seg_list = Jieba::cut("怜香惜玉也得要看对象啊！");

var_dump($seg_list);

$seg_list = Jieba::cut("憐香惜玉也得要看對象啊！");

var_dump($seg_list);

```

Output:

```php

array(7) {

  [0]=>

  string(12) "怜香惜玉"

  [1]=>

  string(3) "也"

  [2]=>

  string(3) "得"

  [3]=>

  string(3) "要"

  [4]=>

  string(3) "看"

  [5]=>

  string(6) "对象"

  [6]=>

  string(3) "啊"

}

array(7) {

  [0]=>

  string(12) "憐香惜玉"

  [1]=>

  string(3) "也"

  [2]=>

  string(3) "得"

  [3]=>

  string(3) "要"

  [4]=>

  string(3) "看"

  [5]=>

  string(6) "對象"

  [6]=>

  string(3) "啊"

}

```

Function 6)：Keeping Japanese or Korean original text

==============

Example (Tutorial)

```php

ini_set('memory_limit', '1024M');

require_once dirname(dirname(__FILE__))."/vendor/multi-array/MultiArray.php";

require_once dirname(dirname(__FILE__))."/vendor/multi-array/Factory/MultiArrayFactory.php";

require_once dirname(dirname(__FILE__))."/class/Jieba.php";

require_once dirname(dirname(__FILE__))."/class/Finalseg.php";

use Fukuball\Jieba\Jieba;

use Fukuball\Jieba\Finalseg;

Jieba::init(array('cjk'=>'all'));

Finalseg::init();

$seg_list = Jieba::cut("한국어 또는 조선말은 제주특별자치도를 제외한 한반도 및 그 부속 도서와 한민족 거주 지역에서 쓰이는 언어로");

var_dump($seg_list);

$seg_list = Jieba::cut("日本語は、主に日本国内や日本人同士の間で使われている言語である。");

var_dump($seg_list);

// Loading custom Japanese dictionary can do a simple word segmentation

Jieba::loadUserDict("/path/to/your/japanese/dict.txt");

$seg_list = Jieba::cut("日本語は、主に日本国内や日本人同士の間で使われている言語である。");

var_dump($seg_list);

```

Output:

```php

array(15) {

  [0]=>

  string(9) "한국어"

  [1]=>

  string(6) "또는"

  [2]=>

  string(12) "조선말은"

  [3]=>

  string(24) "제주특별자치도를"

  [4]=>

  string(9) "제외한"

  [5]=>

  string(9) "한반도"

  [6]=>

  string(3) "및"

  [7]=>

  string(3) "그"

  [8]=>

  string(6) "부속"

  [9]=>

  string(9) "도서와"

  [10]=>

  string(9) "한민족"

  [11]=>

  string(6) "거주"

  [12]=>

  string(12) "지역에서"

  [13]=>

  string(9) "쓰이는"

  [14]=>

  string(9) "언어로"

}

array(21) {

  [0]=>

  string(6) "日本"

  [1]=>

  string(3) "語"

  [2]=>

  string(3) "は"

  [3]=>

  string(3) "主"

  [4]=>

  string(3) "に"

  [5]=>

  string(6) "日本"

  [6]=>

  string(6) "国内"

  [7]=>

  string(3) "や"

  [8]=>

  string(6) "日本"

  [9]=>

  string(3) "人"

  [10]=>

  string(6) "同士"

  [11]=>

  string(3) "の"

  [12]=>

  string(3) "間"

  [13]=>

  string(3) "で"

  [14]=>

  string(3) "使"

  [15]=>

  string(3) "わ"

  [16]=>

  string(6) "れて"

  [17]=>

  string(6) "いる"

  [18]=>

  string(6) "言語"

  [19]=>

  string(3) "で"

  [20]=>

  string(6) "ある"

}

array(17) {

  [0]=>

  string(9) "日本語"

  [1]=>

  string(3) "は"

  [2]=>

  string(6) "主に"

  [3]=>

  string(9) "日本国"

  [4]=>

  string(3) "内"

  [5]=>

  string(3) "や"

  [6]=>

  string(9) "日本人"

  [7]=>

  string(6) "同士"

  [8]=>

  string(3) "の"

  [9]=>

  string(3) "間"

  [10]=>

  string(3) "で"

  [11]=>

  string(3) "使"

  [12]=>

  string(3) "わ"

  [13]=>

  string(6) "れて"

  [14]=>

  string(6) "いる"

  [15]=>

  string(6) "言語"

  [16]=>

  string(9) "である"

}

```

詞性說明

==============

```

a 形容词 (取英语形容词 adjective 的第 1 个字母。)

  ad 副形词 (直接作状语的形容词，形容词代码 a 和副词代码 d 并在一起。)

  ag 形容词性语素 (形容词性语素，形容词代码为 a，语素代码 ｇ 前面置以 a。)

  an 名形词 (具有名词功能的形容词，形容词代码 a 和名词代码 n 并在一起。)

b 区别词 (取汉字「别」的声母。)

c 连词 (取英语连词 conjunction 的第 1 个字母。)

d 副词 (取 adverb 的第 2 个字母，因其第 1 个字母已用于形容词。)

  df 副词*

  dg 副语素 (副词性语素，副词代码为 d，语素代码 ｇ 前面置以 d。)

e 叹词 (取英语叹词 exclamation 的第 1 个字母。)

eng 外语

f 方位词 (取汉字「方」的声母。)

g 语素 (绝大多数语素都能作为合成词的「词根」，取汉字「根」的声母。)

h 前接成分 (取英语 head 的第 1 个字母。)

i 成语 (取英语成语 idiom 的第 1 个字母。)

j 简称略语 (取汉字「简」的声母。)

k 后接成分

l 习用语 (习用语尚未成为成语，有点「临时性」，取「临」的声母。)

m 数词 (取英语 numeral 的第 3 个字母，n，u 已有他用。)

  mg 数语素

  mq 数词*

n 名词 (取英语名词 noun 的第 1 个字母。)

  ng 名语素 (名词性语素，名词代码为 n，语素代码 ｇ 前面置以 n。)

  nr 人名 (名词代码n和「人(ren)」的声母并在一起。)

  nrfg 名词*

  nrt 名词*

  ns 地名 (名词代码 n 和处所词代码 s 并在一起。)

  nt 机构团体 (「团」的声母为 t，名词代码 n 和 t 并在一起。)

  nz 其他专名 (「专」的声母的第 1 个字母为 z，名词代码 n 和 z 并在一起。)

o 拟声词 (取英语拟声词 onomatopoeia 的第 1 个字母。)

p 介词 (取英语介词 prepositional 的第 1 个字母。)

q 量词 (取英语 quantity 的第 1 个字母。)

r 代词 (取英语代词 pronoun的 第 2 个字母，因 p 已用于介词。)

  rg 代词语素

  rr 代词*

  rz 代词*

s 处所词 (取英语 space 的第 1 个字母。)

t 时间词 (取英语 time 的第 1 个字母。)

  tg 时语素 (时间词性语素，时间词代码为 t，在语素的代码 g 前面置以 t。)

u 助词 (取英语助词 auxiliary 的第 2 个字母，因 a 已用于形容词。)

  ud 助词*

  ug 助词*

  uj 助词*

  ul 助词*

  uv 助词*

  uz 助词*

v 动词 (取英语动词 verb 的第一个字母。)

  vd 副动词 (直接作状语的动词，动词和副词的代码并在一起。)

  vg 动语素

  vi 动词*

  vn 名动词 (指具有名词功能的动词，动词和名词的代码并在一起。)

  vq 动词*

w 标点符号

x 非语素字 (非语素字只是一个符号，字母 x 通常用于代表未知数、符号。)

y 语气词 (取汉字「语」的声母。)

z 状态词 (取汉字「状」的声母的前一个字母。)

  zg 状态词*

```

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