English, Article edition: Combining N-Grams and Stemming for Arabic Word-Based Inexact Matching and Term Conflation Suleiman H. Mustafa

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Bookmark: http://trove.nla.gov.au/version/133348
Physical Description
  • article
Language
  • English

Edition details

Title
  • Combining N-Grams and Stemming for Arabic Word-Based Inexact Matching and Term Conflation
Author
  • Suleiman H. Mustafa
Physical Description
  • article
Notes
  • 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.
  • N-grams, Arabic string matching, text searching, stemming, information retrieval, word conflation
  • RePEc:wsi:jikmxx:v:04:y:2005:i:01:p:29-36
Language
  • English
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