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Experiments with the successor variety algorithm using the cutoff and entropy methods.

Author(s)
Al-Shalabi Riyad Yarmouk University, Irbid, Jordan
Ghassan Kannan Yarmouk University, Irbid, Jordan
Iyad Hilat Yarmouk University, Irbid, Jordan
Ahmad Ababneh Yarmouk University, Irbid, Jordan
Al-Zubi Ahmad Yarmouk University, Irbid, Jordan
Abstract
In the present study a system have developed that uses the Successor Variety Stemming Algorithm to find stems for Arabic words. A corpus of 242 abstracts have obtained from the Saudi Arabian National Computer Conference. All of these abstracts involve computer science and information systems. The study have set out to discover whether the Successor Variety Stemming Algorithm technique with the Cutoff Method can be used for the Arabic Language or not. In addition, the Successor. Variety Algorithm have compared with the Cutoff and the Successor Variety with Entropy Method. Stemming is typically used in the hope of improving the accuracy of the search reducing the size of the index. The results of present research show that the Successor Variety Algorithm with the Cutoff Method is better than Successor Variety Algorithm with the Entropy Method. We have achieved an 84% level of correctness using the Cutoff Method, but a 64% level of correctness using the Entropy Method. These experiments were carried out using Visual Basic 6.0.
Publication Details
Page(s) 55-62
DOI DOI not available
Published Journal: Information technology Journal, Volume: 4, Issue: 1, Year: 2005

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