Acquisition system for Arabic noun morphology

Authors:
Saleem Abuleil;Khalid Alsamara;Martha Evens
Affiliations:
Chicago State University, Chicago, IL;Chicago State University, Chicago, IL;Illinois Institute of Technology, Chicago IL
Venue:
SEMITIC '02 Proceedings of the ACL-02 workshop on Computational approaches to semitic languages
Year:
2002

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Abstract

Many papers have discussed different aspects of Arabic verb morphology. Some of them used patterns; others used patterns and affixes. But very few have discussed Arabic noun morphology particularly for nouns that are not derived from verbs. In this paper we describe a learning system that can analyze Arabic nouns to produce their morphological information and their paradigms with respect to both gender and number using a rule base that uses suffix analysis as well as pattern analysis. The system utilizes user-feedback to classify the noun and identify the group that it belongs to.