Abstract
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.
Cite
CITATION STYLE
Roth, R., Rambow, O., Habash, N., Diab, M., & Rudin, C. (2008). Arabic morphological tagging, diacritization, and lemmatization using lexeme models and feature ranking. In ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 117–120). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1557690.1557721
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