Plagiarism Detection in Arabic Language using Rhetorical Structure Theory


Abstract in English

This paper presents a review of available algorithms and plagiarism detection systems، and an implementation of Plagiarism Detection System using available search engines on the web. Plagiarism detection in natural language documents is a complicated problem and it is related to the characteristics of the language itself. There are many available algorithms for plagiarism detection in natural languages .Generally these algorithms belong to two main categories ; the first one is plagiarism detection algorithms based on fingerprint and the second is plagiarism detection algorithms based on content comparison and includes string matching and tree matching algorithms . Usually available systems of plagiarism detection use specific type of detection algorithms or use a mixture of detection algorithms to achieve effective detection systems (fast and accurate). In this research, a plagiarism detection system has been developed using Bing search engine and a plagiarism detection algorithm based on Rhetorical Structure Theory.

References used

Shizhong Wu; Yongle Hao; Xinyu Gao; Baojiang Cui; Ce Bian, Homology Detection Based on Abstract Syntax Tree Combined Simple Semantics Analysis, Web Intelligence and Intelligent Agent Technology (WI-IAT), vol.3, pp.410-414, 2010
Vinod K.R., Sandhya.S, Sathish Kumar D, Harani A, David Banji, Otilia JF Banji, Plagiarism-history detection and prevention, Journal for drugs and medicines, Vol.3, Issue:1, pp.1- 4, 2011
Al-Khatib B., Aspel A. ,Saleh M., fares M.، Hamad M.M., plagiarism detection using the web, Damascus university,informatics engineering college, 2007
Al-Sanie W., Towards an infrastructure for Arabic text Summarization using Rhetorical Structure Theory, master thesis , king Saud University, K.S.A., 2005
[Bing , API Basics. [online] Available at: http://www.bing.com/developers/s/APIBasics.ht ml [Accessed 15-October 2011

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