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mediawiki-extension-Latiniz.../vendor/fukuball/jieba-php/README.md

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[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-0.26 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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License
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Copyright (c) 2015 fukuball
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of this software and associated documentation files (the "Software"), to deal
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