Arabic morphological tagging, diacritization, and lemmatization using lexeme models and feature ranking
We investigate the tasks of general morphological tagging, diacritization, and lemmatization for Arabic. We show that for all tasks we consider, both modeling the lexeme explicitly, and retuning the weights of individual classifiers for the specific task, improve the performance. © 2008 Association for Computational Linguistics.
Roth, R; Rambow, O; Habash, N; Diab, M; Rudin, C
Acl 08: Hlt 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference
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International Standard Book Number 13 (ISBN-13)
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