A rule-based Arabic stemming algorithm

Authors:
Tengku Mohd T. Sembok;Belal Mustafa Abu Ata;Zainab Abu Bakar
Affiliations:
Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia;Department of Computer Science, Bahrain University, Bahrain;Faculty of Computer and Mathematical Sciences, Universiti Teknology MARA, Shah Alam, Malaysia
Venue:
ECC'11 Proceedings of the 5th European conference on European computing conference
Year:
2011

Citing 4
Cited 1

Morphological compression of arabic text

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Comparing words, stems, and roots as index terms in an Arabic Information Retrieval System

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The Effect of Stemming on Arabic Text Classification: An Empirical Study

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Abstract

Stemming is used in information retrieval systems to reduce variant word forms to common roots in order to improve retrieval effectiveness. As in other languages, there is a need for an effective stemming algorithm for the indexing and retrieval of Arabic documents. The Arabic stemming algorithm developed by Al-Omari is studied and new versions proposed to enhance its performance. The improvements relate to the order in which the dictionary is looked-up and the order in which the morphological rules are applied.