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Information Retrieval System For Arabic Language

نظام استرجاع معلومات للغة العربية

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 Added by Tishreen University مشروع تخرج
 Publication date 2014
and research's language is العربية
 Created by Shaban Khatib


‎Shamra Academia - شمرا أكاديميا‎


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References used
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Unine, Stop Word List, 2012
Al-Shammari, E.T. Improving Arabic document categorization: Introducing local stem. in Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on. 2010
Larkey, L.S., L. Ballesteros, and M.E. Connell, Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis, in Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval2002, ACM: Tampere, Finland. p. 275-282
Khoja, S. Khoja Stemmer. 2012 [cited 2012 Mar 2012]; Available from: http//:zeus.cs.pacificu.edu/shereen/research.htm
Larkey, Leah S., Lisa Ballesteros, and Margaret E. Connell. "Light stemming for Arabic information retrieval." Arabic computational morphology. Springer Netherlands, 2007. 221-243
Luhn, H. P. (1957). A statistical approach to the mechanized encoding and starching of literary information. IBM Journal of Research and Development, 1 (4). pp 309-317
Warner, Amy J.; Ann Arbor and Aspen H. Wenzel (1991). A linguistic analysis and categorisation of nominal expressions. ASIS'9 I, pp. 186-191
Harter, Stephen P. ( 1986) . Online information retrieval: Concepts, principles, and techniques. Orlando: Academic Press INC
Salton, G. and M. McGill (1983). Introduction to Modern Information Retrieval. McGraw-Hill
Salton, G. and C. Yang (1973). On the specication of term values in automatic indexing. Jounral of Documentation 29 (4), 351-372
Maron, M. and J. Kuhns (1960). On relevance, probabilistic indexing and information retrieval. Journal of the Association for Computing Machin- ery 7, 216-244
Ponte, J., & Croft, W. B. (1998). A language modeling approach to information retrieval. In Proceedings of the 21st ACM SIGIR Annual International Conference on Research and Development in Information Retrieval (pp. 275-281). Melbourne, Australia
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