The implementation of plagiarism detection system in health sciences publications in Arabic and english languages

International Review on Computers and Software

Volumn 8, Issue 4, 2013, Pages 915-919

  Omar, K ^a   Alkhatib, B ^a   Dashash, M ^a,b  

^a DAMASCUS UNIVERSITY   (Syrian Arab Republic)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Health sciences plagiarism; Natural language processing; Plagiarism detection

Indexed keywords

EID: 84879919570     PISSN: 18286003     EISSN: 18286011     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. Vinod K.R., Sandhya S, Sathish Kumar D, Harani A, David Banji and Otilia JF Banji, Plagiarism history, detection and prevention, Hygeia: journal for drugs and medicines, Vol.3., Issue.1, pp. 1-4, 2011
2. Kent C. K., Salim N., Web Based Cross Language Plagiarism Detection, Second International Conference of computational intelligence, Modeling and Simulation, pp. 199-204, 2010.
3. Jadalla, A.; Elnagar, A., A fingerprinting-based plagiarism detection system for Arabic text-based documents, Computing Technology and Information Management (ICCM), vol.1, no., pp.477-482, 2012.
4. Jadalla, A.; Elnagar, A., A Plagiarism Detection System for Arabic Text-Based Documents, M.Chau et al. (Eds.):PAISI 2012,LNCS 7299 (Springer-Verlag Berlin Heidelberg, pp. 145-153, 2012) Intelligence and Security Informatics Lecture Notes in Computer Science.
5. Bin-Habtoor, A. S.; Zaher, M. A., A Survey on Plagiarism Detection Systems, International Journal of Computer Theory and Engineering vol. 4, no. 2, pp. 185-188, 2012.
6. Tachaphetpiboon, S.; Facundes, N.; Amornraksa, T., Plagiarism indication by syntactic-semantic analysis, Asia-Pacific Conference on Communications, pp.237-240, 2007.
7. Kent C.K., Salim N., Web Based Cross Language Semantic Plagiarism Detection, IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing, pp. 1096-1102, 2011.
8. Shizhong Wu, Yongle Hao, Xinyu Gao, Baojiang Cui, Ce Bian., Homology Detection Based on Abstract Syntax Tree Combined Simple Semantics Analysis, International Conference of Web Intelligence and Intelligent Agent Technology (WI-IAT), IEEE/WIC/ACM, v(3) pp. 410-414, 2010.
9. El Bachir M. M., Detection of Plagiarism in Arabic Documents, International Journal of Information Technology and Computer Science, vol.4, no.10, pp.80-89, 2012.
10. Alzahrani, S.M.; Salim, N., On the use of fuzzy information retrieval for gauging similarity of Arabic documents, Second International Conference of Applications of Digital Information and Web Technologies, pp.539-544, 2009.
11. Al-Taani, A.T., A new approach to the extraction of multiword terms from arabic texts, (2010) International Review on Computers and Software (IRECOS), 5 (2), pp. 129-133.
12. Orabe Almanaseer, Mohammad Alkhaleefah, Sakha'a Elmanaseer, Business Documents Analysis Using Text Mining Techniques, (2012) International Review on Computers and Software (IRECOS), 7 (4), pp. 1663-1677.
13. Al-Sanie, W., Touir A., Mathkour H., Towards a Rhetorical Parsing of Arabic Text, Proceedings of the International Conference on Computational Intelligence for Modeling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol. 02, pp. 1086-1091, 2005.
14. Taboada, M. & Mann, W. C., Rhetorical Structure Theory: looking back and moving ahead, Journal of Discourse Studies, Vol. (8), pp. (423-459), 2006.
15. Mathkour H., Touir A., Al-Sanea W., Parsing Arabic Texts Using Rhetorical Structure Theory, Journal of Computer Science vol.4, n.9, pp. 713-720, 2008.
16. Iraky K., A Comprehensive Taxonomy of Arabic Discourse Coherence Relations, 1st Taibah University International Conference on Computing and Information Technology Al-Madinah Al-Munawwarah, Saudi Arabia, pp. 491-496, 2012.
17. Mathkou H., Member, IAENG, A Novel Rhetorical Structure Approach for Classifying Arabic Security Documents, International Journal of Computer Theory and Engineering, Vol. 1, No. 3,pp. 1793-8201, 2009.
18. Touir A., Mathkour H., Al-Sanea W., Semantic-Based Segmentation of Arabic Texts, Information Technology Journal, vol.7, pp.1009-1015, 2008.
19. Bing, API Basics. [online] Available at: http://www.bing.com/developers/s/APIBasics.html [Accessed 15-October 2011].
20. A. Amine, Z. Elberrichi, M. Simonet, WordNet - Based Text Clustering Methods: Evaluation and Comparative Study, (2009) International Review on Computers and Software (IRECOS), 4 (2), pp. 220-228.