PHP code for Chinese word segmentation_PHP tutorial-PHP Tutorial-php.cn

PHP code for Chinese word segmentation_PHP tutorial

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Release： 2016-07-20 11:10:01

Original

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I have used the dedecms word segmentation function before, but after testing it was still not ideal. After some processing, the results were still acceptable. Today I saw this word segmentation method again and showed it to everyone.

class NLP{
private static $cmd_path;
// does not end with '/'
static function set_cmd_path($path){
self::$cmd_path = $path;
}
private function cmd($str){
$descriptorspec = array(
0 => array("pipe", "r "),
1 => array("pipe", "w"),
);
$cmd = self::$cmd_path . "/ictclas";
$process = proc_open ($cmd, $descriptorspec, $pipes);
if (is_resource($process)) {
$str = iconv('utf-8', 'gbk', $str);
fwrite( $pipes[0], $str);
$output = stream_get_contents($pipes[1]);
fclose($pipes[0]);
fclose($pipes[1]);
$return_value = proc_close($process);
}
/*
$cmd = "printf '$input' | " . self::$cmd_path . "/ictclas";
exec ($cmd, $output, $ret);
$output = join("n", $output);
*/
$output = trim($output);
$output = iconv('gbk', 'utf-8', $output);
return $output;
}
/**
* Perform word segmentation and return a word list.
*/
function tokenize($str){
$tokens = array();
$output = self::cmd($input);
if($output){
$ps tutorial = preg_split('/s+/', $output) ;
foreach($ps as $p){
list($seg, $tag) = explode('/', $p);
$item = array(
'seg' = > $seg,
'tag' => $tag,
);
$tokens[] = $item;
}
}
return $tokens;
}
}
NLP::set_cmd_path(dirname(__FILE__));
?>

It is very simple to use (make sure the ICTCLAS compiled executable and dictionary are in the current directory ):
Copy the code as follows:
require_once('NLP.php');
var_dump(NLP::tokenize('Hello, World!'));
?>

The PHP class for Chinese word segmentation is below. Use the proc_open() function to execute the word segmentation program and interact with it through the pipeline. Enter the text to be segmented and read. Word segmentation results.