Error message

  • Notice: Undefined property: stdClass::$uri in theme_file_link() (line 751 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$uri in theme_file_link() (line 771 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$filemime in theme_file_icon() (line 817 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$filemime in file_icon_path() (line 861 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$filemime in file_icon_map() (line 904 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$filemime in file_icon_path() (line 876 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$filemime in file_icon_path() (line 876 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$filemime in file_icon_path() (line 876 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$filemime in file_icon_path() (line 876 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$filemime in theme_file_link() (line 783 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$filesize in theme_file_link() (line 783 of /var/www/scholar/modules/file/file.module).
  • Notice: Undefined property: stdClass::$filename in theme_file_link() (line 789 of /var/www/scholar/modules/file/file.module).

The Treatment of Some Deviation Cases in Non-Standard Data Using Artificial Intelligence and Natural Language Processing Applied to Arabic Language

Start Page: 
1187
End Page: 
1197
Received: 
Monday, March 6, 2006
Accepted: 
Sunday, August 5, 2007
Authors: 
Bilal Alshafei
Abstract: 

The aim of this study is to try to investigate the problem of deviation in non-standard data generated by inquiry into Arabic language, using research engines or some Natural Language Processing programs (NLP) applied to Arabic. The deviation could be corrected by using expert systems and some neural networking. It will try to analyze these issues from both linguistic point of view and technological point of view in order to find the best way to build a model of work that could find solutions for some deviant cases using Artificial Intelligence (Expert Systems and neural networks). Above all, this work could serve as a starting point for farther research on the deviant cases.

Full Text: 
Binary Data