使用zend Framework的lucene进行全文检索——中文分词

zf本身没有提供中文分词算法，具体应用中要自己写。我这里使用简单的二元分词算法（只在utf-8下工作正常，对于其他字符集，请修改程序）。

第一步、如何测试分词算法的输出。
在zf 的手册中没有提到，我这里简单给个例子：


<?php
$analyzer=Zend_Search_Lucene_Analysis_Analyzer::getDefault();
$value='this is a test!';
        $analyzer->setInput($value,'utf-8');
        
    $position     =0;
        $tokenCounter=0;
         while (($token=$analyzer->nextToken()) !==null) {
            $tokenCounter++;
            $tokens[] =$token;
         }
        print_r($tokens);
?>


这里使用是zf默认的分词算法Zend_Search_Lucene_Analysis_Analyzer_Common_Text。另外你可以加上一个过滤方法。比如说过滤一些单词，比如“is”,"a "之类的。

第二步、自定义自己的分词算法，可以参考手册，或者自己看Zend_Search_Lucene_Analysis_Analyzer_Common_Text类的实现。
其中要注意的是过滤这点。由于我们的分词是二元分词，如果要过滤一些比如“的”、“啊”之类的单词，是无法使用内置的Tokens Filtering。我们需要是分词前先过滤调。这个可以在reset()里面实现
例子。


<?
require_once'Zend/Search/Lucene/Analysis/Analyzer.php';
classPhpbean_Lucene_AnalyzerextendsZend_Search_Lucene_Analysis_Analyzer_Common{
    
     private$_position;
    
     private$_cnStopWords= array();
    
     public functionsetCnStopWords($cnStopWords){
        $this->_cnStopWords=$cnStopWords;
     }

    /**
      * Reset token stream
      */
    public functionreset()
     {
        $this->_position=0;
        $search= array(",","/","\", ".", ";", ":", ""","!","~","`","^","(",")","?","-","t","n","'","<",">","r","rn","$","&","%","#","@","+","=","{","}","[","]","：","）","（","．","。","，","！","；","“","”","‘","’","［","］","、","—","　","《","》","－","…","【","】",);
        $this->_input=str_replace($search,' ',$this->_input);
        $this->_input=str_replace($this->_cnStopWords,' ',$this->_input);
     }

    /**
      * Tokenization stream API
      * Get next token
      * Returns null at the end of stream
      *
      * @return Zend_Search_Lucene_Analysis_Token|null
      */
    public functionnextToken()
     {
         if ($this->_input===null) {
             returnnull;
         }
         while ($this->_position<strlen($this->_input)) {
             while ($this->_position<strlen($this->_input) &&
                    $this->_input[$this->_position]==' ') {
                $this->_position++;
             }
            $termStartPosition=$this->_position;      
            $temp_char=$this->_input[$this->_position];
            $isCnWord=false;
             if(ord($temp_char)>127){  
                $i=0;       
                 while ($this->_position<strlen($this->_input) &&
                ord($this->_input[$this->_position] )>127) {
                    $this->_position=$this->_position+3;
                    $i++;
                     if($i==2){
                        $isCnWord=true;
                         break;
                     }
                 }
                 if($i==1)continue;
             }else{
                 while ($this->_position<strlen($this->_input) &&
                ctype_alnum($this->_input[$this->_position] )) {
                    $this->_position++;
                 }
             }
             if ($this->_position==$termStartPosition) {
                 returnnull;
             }

            $token= newZend_Search_Lucene_Analysis_Token(
                                      substr($this->_input,
                                             $termStartPosition,
                                             $this->_position-$termStartPosition),
                                      $termStartPosition,
                                      $this->_position);
            $token=$this->normalize($token);
             if($isCnWord)$this->_position=$this->_position-3;
             if ($token!==null) {
                 return$token;
             }
         }
         returnnull;
     }
    
}
?>


测试分词输出demo


<?
$stopWords= array('a','an','at','the','and','or','is','am');
        $stopWordsFilter= newZend_Search_Lucene_Analysis_TokenFilter_StopWords($stopWords);
        $analyzer= newPhpbean_Lucene_Analyzer();
        $cnStopWords= array('的');
        $analyzer->setCnStopWords($cnStopWords);
        $analyzer->addFilter($stopWordsFilter);
        $value='this is " a test【中文】的测试';
        $analyzer->setInput($value,'utf-8');
        
        $position     =0;
        $tokenCounter=0;
         while (($token=$analyzer->nextToken()) !==null) {
            $tokenCounter++;
            $tokens[] =$token;
         }
        print_r($tokens);
?>


比如上面的输出就是"this" "test" "中文" “测试”四个结果。符合我们的需要。