Query Optimization in Arabic Plagiarism Detection: An Empirical Study
Автор: Imtiaz H. Khan, Muazzam A. Siddiqui, Kamal M. Jambi, Muhammad Imran, Abobakr A. Bagais
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 1 vol.7, 2014 года.
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This article describes an ongoing research which intends to develop a plagiarism detection system for Arabic documents. We developed different heuristics to generate effective queries for document retrieval from the Web. The performance of those heuristics was empirically evaluated against a sizeable corpus in terms of precision, recall and f-measure. We found that a systematic combination of different heuristics greatly improves the performance of the document retrieval system.
Arabic Plagiarism Detection, Query Generation, Query Optimization, Document Similarity, Arabic Natural Language Processing
Короткий адрес: https://sciup.org/15010648
IDR: 15010648
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