An Arabic morphological system
IBM Systems Journal
Morphology and syntax of the Arabic language
Computers and the Arabic language
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Design and implementation of an arabic morphological system to support natural language processing
Design and implementation of an arabic morphological system to support natural language processing
Firing Policies for an Arabic Rule-Based Stemmer
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Arabic morphological analysis techniques: a comprehensive survey
Journal of the American Society for Information Science and Technology
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Arabic language exhibits a complex but very regular morphological structure that greatly affects its automation. Current available morphological analysis techniques for the Arabic language are based on heavy computational processes and/or the need for large amount of associated data. Utilizing existed morphological techniques greatly degrade the efficiency of some natural language applications such as information retrieval system. This paper proposed a new Arabic morphological analysis technique. The technique is based on the pattern similarity of words derived from different roots. Unique patterns are extended and coded as rules that encode morphological characteristics. The technique does not require either complex computation or associated data yet adjustable to maintain enough accuracy. This technique utilizes a very simple parser to scan coded rules and decompose a given Arabic word into its morphological components.