Master of Science (MS)
First Committee Member
Number of Pages
Arabic is a semitic language that has a complex morphology. Therefore, using a stemmer algorithm in an information retrieval system is almost always beneficial; An Arabic stemmer has been implemented and included in the information retrieval system developed at the Information Science Research Institute at the University of Nevada Las Vegas. The Arabic stemmer is written in the Ruby Language and removes affixes then matches the remaining word against patterns of the same length. The retrieval experiment uses the TREC collection which consists of over a million documents. We will test the effectiveness of the Arabic stemmer using recall/precision measurement and compare the result to other stemmers.
Arabic; Effectiveness; Information; Retrieval; Stemmers; System
University of Nevada, Las Vegas
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Elkhoury, Rania Fawzi, "Arabic stemmers and their effectiveness on the information retrieval system" (2004). UNLV Retrospective Theses & Dissertations. 1718.
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