jieba php
jieba-php 0.34
Segmentation des mots chinois "bégaiement": être le meilleur composant de segmentation des mots chinois PHP et de segmentation des mots chinois. La version de traduction actuelle est la version jieba-0.33. À l'avenir, il sera mis à niveau lentement et les performances doivent être améliorées. Les développeurs intéressés sont invités à rejoindre le développement ensemble! Si vous souhaitez utiliser la version Python, veuillez vous rendre sur FXSJY / JIEBA
Le chinois traditionnel peut désormais être soutenu! Passez simplement le dictionnaire en mode grand!
"Jieba" (chinois pour "bégayer") Segmentation de texte chinoise: conçue pour être le meilleur module de segmentation de mots chinois PHP.
Faites défiler vers le bas pour la documentation en anglais.
Prend en charge les modes de participe à trois mots:
1) Mode de précision par défaut, en essayant de couper les phrases le plus précisément, adaptées à l'analyse de texte;
2) Modèle complet, scannez tous les mots de la phrase qui peuvent être basés sur des mots, mais ne peuvent pas résoudre l'ambiguïté. (Ajouter un dictionnaire suffisant est nécessaire)
Soutenir le verbe traditionnel verbe
Prend en charge le dictionnaire personnalisé
Exemple de code
composer require fukuball/jieba-php:dev-masterExemple de code
require_once " /path/to/your/vendor/autoload.php " ;Exemple de code
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 " ;cut accepte un paramètre d'entrée: 1) Le premier paramètre est la chaîne qui nécessite une segmentation de mots 2) Le paramètre Cut_ALL est utilisé pour contrôler le modèle de segmentation des motscutForSearch accepte un paramètre: une chaîne qui nécessite une segmentation des mots. Cette méthode convient aux moteurs de recherche pour construire une segmentation de mots indexée inversée, avec une granularité relativement finecut et cutForSearch est un tableau itérableExemple de code (tutoriel)
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 );Sortir:
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"
}Les développeurs peuvent spécifier leur propre dictionnaire personnalisé pour inclure des mots qui ne sont pas dans le vocabulaire Jieba. Bien que Jieba ait la capacité de reconnaître les nouveaux mots, l'ajout de nouveaux mots peut assurer une précision plus élevée
Utilisation: jieba :: loadUserDict (file_name) # file_name est le chemin absolu vers un dictionnaire personnalisé
Le format du dictionnaire est le même que dict.txt, et un mot occupe une ligne; Chaque ligne est divisée en trois parties, une partie du mot, une partie du mot et une partie du mot, séparées par des espaces.
exemple:
Cloud Computing 5 N li Xiaofu 2 n Office d'innovation 3 n
Auparavant: Li Xiaofu / Yes / Innovation / Office / Director / Yes / Yes / Cloud / Computing / Evidence / Après avoir chargé le thésaurus personnalisé: Li Xiaofu / Yes / Innovation / Office / Director / OUI / OUI / OUI / Cloud / Evidence /
Description: "Améliorer la correction des erreurs d'ambiguïté via le dictionnaire défini par l'utilisateur" --- fxsjy / jieba # 14
Exemple de code (extraction de mots clés)
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 );Sortir:
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 )
}Exemple de code (tutoriel)
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 );Sortir:
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 "
}
}Exemple de code (tutoriel)
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 );Sortir:
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"
}Exemple de code (tutoriel)
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 );Sortir:
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"
}Exemple de code (tutoriel)
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 );Sortir:
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"
}Exemple de code (tutoriel)
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 );Sortir:
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 )
}
}Dictionnaire avec une occupation plus petite https://github.com/fukuball/jieba-php/blob/master/src/dict/dict.small.txt
Dictionnaire qui prend en charge le verbe traditionnel du verbe https://github.com/fukuball/jieba-php/blob/master/src/dict/dict.big.txt
cut accepte deux paramètres: 1) le premier paramètre est la chaîne à la segmentation 2) le deuxième paramètre cut_all pour contrôler le mode de segmentation.cutForSearch Accpets uniquement sur le paramètre: la chaîne qui nécessite une segmentation, et elle coupera la phrase en mots courtscut et cutForSearch renvoient un tableau segmenté.Exemple (tutoriel)
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 );Sortir:
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"
}Les développeurs peuvent spécifier leur propre dictionnaire personnalisé pour inclure dans le thésaurus Jieba. Jieba a la capacité d'identifier de nouveaux mots, mais l'ajout de vos propres nouveaux mots peut assurer un taux plus élevé de segmentation correcte.
Utilisation: Jieba::loadUserDict(file_name) # file_name est un chemin de dictionnaire personnalisé.
Le format du dictionnaire est le même que celui de dict.txt : un mot par ligne; Chaque ligne est divisée en deux parties, la première est le mot lui-même, l'autre est la fréquence du mot, séparée par un espace.
Exemple:
Cloud Computing 5 Li Xiaofu 2 Office d'innovation 3
Auparavant: Li Xiaofu / Yes / Innovation / Office / Director / Yes / Yes / Cloud / Computing / Evidence / Après avoir chargé le thésaurus personnalisé: Li Xiaofu / Yes / Innovation / Office / Director / OUI / OUI / OUI / Cloud / Evidence /
Exemple (extraction de mots clés)
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 );Sortir:
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 )
}Exemple (Tagging Word)
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 );Sortir:
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 "
}
}Exemple (tutoriel)
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 );Sortir:
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"
}Exemple (tutoriel)
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 );Sortir:
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"
} 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*
Si vous trouvez Fuku-ML utile, veuillez considérer un don. Merci!
La licence du MIT (MIT)
Copyright (C) 2015 Fukuball
L'autorisation est accordée gratuitement à toute personne qui obtient une copie de ce logiciel et des fichiers de documentation associés (le "logiciel"), pour traiter le logiciel sans restrictions, y compris sans limiter les droits d'utilisation, de copie, de modification, de fusion, de publication, de distribution, de sous-licence et de vendre des copies des conditions suivantes: les conditions suivantes.
L'avis de droit d'auteur ci-dessus et le présent avis d'autorisation sont inclus dans toutes les copies ou des parties substantielles du logiciel.
Le logiciel est fourni "tel quel", sans garantie d'aucune sorte, express ou implicite, y compris, mais sans s'y limiter, les garanties de qualité marchande, d'adéquation à un usage particulier et de non-contrefaçon. En aucun cas, les auteurs ou les détenteurs de droits d'auteur ne seront pas responsables de toute réclamation, dommage ou autre responsabilité, que ce soit dans une action de contrat, de délit ou autre, découlant de, hors du logiciel ou de l'utilisation ou d'autres relations dans le logiciel.
