The Implementation of Plagiarism Detection System in Health Sciences Publications in Arabic and English Languages

K. Omar(1*), B. AlKhatib(2), M. Dashash(3)

(1) Damascus University, Syrian Arab Republic
(2) Damascus University, Syrian Arab Republic
(3) Damascus University, Syrian Arab Republic
(*) Corresponding author

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There are many available algorithms for plagiarism detection in natural languages. Generally, these algorithms belong to main categories including plagiarism detection algorithms which is based on fingerprint and also plagiarism detection algorithms which is based on content comparison that contains string matching and tree matching algorithms. Available systems of plagiarism detection usually use specific types of detection algorithms or mixture of detection algorithms to achieve effective detection systems (fast and accurate). On rhetorical structure theory a system for plagiarism detection in Arabic and English health sciences publications has been developed using Bing search engine; Conclusion, all health sciences manuscripts should be tested through plagiarism detection system before accepting them for publications
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Health Sciences Plagiarism; Natural Language Processing; Plagiarism Detection

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