Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/3668
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dc.contributor.authorMohammed, Randa Abdelrhman
dc.contributor.authorSupervisor - Ezzeddeen Mohammed Osman
dc.date.accessioned2014-02-25T11:53:39Z
dc.date.available2014-02-25T11:53:39Z
dc.date.issued2010-03-11
dc.identifier.citationMohammed,Randa Abdelrhman.A Plagiarism Detection Tool For Arabic Text Documents/Randa Abdelrhman Mohammed؛ Ezzeddeen Mohammed Osman.-Khartoum : sudan university of science and technology,computer science,2010.-109p:ill;28cm.-M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/3668
dc.descriptionThesisen_US
dc.description.abstractThis research attempts to develop an Arabic Plagiarism Detection (APD) Tool, which would protect the intellectual property of the Arabic researchers and authors in universities, scientific research institutes, newspapers, magazines and publishing houses. There are many tools which have been used to detect the plagiarism such as Gallt Plagiarism Program and EVE2 Plagiarism Detection for Teachers. These systems were developed only for English, while other programs were adapted to deal with French, German and Chinese languages. However, for the Arabic language such tools are still under development and no commercial products are available yet. In this research an APD Tool has been developed. It is based on Winnowing Local Document Fingerprinting Algorithm. It has been adapted for Arabic and tested using three essays written by a class of Students .The APD Tool identified the suspected plagiarism accurately and identified more cases of plagiarism than the experienced teacher .en_US
dc.description.sponsorshipsudan university of scince and technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectcomputer securityen_US
dc.titleA Plagiarism Detection Tool For Arabic Text Documentsen_US
dc.title.alternativeأداة اكتشاف الانتحال في المقالات العربيةen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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