Combining N-Grams and Stemming for Arabic Word-Based Inexact Matching and Term Conflation

Suleiman H. Mustafa ()
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Suleiman H. Mustafa: Dept. of Comp. Info. Systems, Yarmouk University, Irbid-Jordan, Jordan

Journal of Information & Knowledge Management (JIKM), 2005, vol. 04, issue 01, 29-36

Abstract: In this paper, the results of three N-gram techniques have been reported. Two of these techniques were based on the idea of combining N-grams and stemming. The first used first-order stemming, while the other used light stemming. The performance of the combined approach was then compared with that of pure conventional N-gram-based string matching. The results provide good evidence that combining N-grams with stemming improves the overall performance, as measured by word-match recall and word-match precision, using different similarity threshold values.

Keywords: N-grams; Arabic string matching; text searching; stemming; information retrieval; word conflation (search for similar items in EconPapers)
Date: 2005
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DOI: 10.1142/S0219649205000992

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