Subscribe Now Subscribe Today
Science Alert
 
FOLLOW US:     Facebook     Twitter
Blue
   
Curve Top
Information Technology Journal
  Year: 2014 | Volume: 13 | Issue: 14 | Page No.: 2349-2355
DOI: 10.3923/itj.2014.2349.2355
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail
Arabic-English Cross-language Plagiarism Detection using Winnowing Algorithm
Adel Aljohani and Masnizah Mohd

Abstract:
The availability of information in electronic forms and the availability of automatic translation machines has led to increased cross-language plagiarism. Manual detection of cross-language plagiarism is difficult, as such, developing an automatic system to detect such plagiarism is necessary. Although, there are a number of studies on detecting cross-language plagiarism in the form of Euro-English, Malay-English and Indonesian-English, there remains few studies concerned with the detection of Arabic-English cross-language plagiarism. This study proposes an Arabic-English cross-language plagiarism detection tool using the Winnowing algorithm. We evaluate its performance in terms of precision and recall on a data set consisting of Wikipedia articles. The performance of the proposed tool proved good with 97% precision, 81% recall and 89% F-measure evaluation metrics. The results show that the Winnowing algorithm can be used effectively to detect Arabic-English cross-language plagiarism.
PDF Fulltext XML References Citation Report Citation
How to cite this article:

Adel Aljohani and Masnizah Mohd, 2014. Arabic-English Cross-language Plagiarism Detection using Winnowing Algorithm. Information Technology Journal, 13: 2349-2355.

DOI: 10.3923/itj.2014.2349.2355

URL: https://scialert.net/abstract/?doi=itj.2014.2349.2355

 
COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 

       

       

Curve Bottom