Arabic morphological tagging, diacritization, and lemmatization using lexeme models and feature ranking

Published

Conference Paper

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.

Full Text

Duke Authors

Cited Authors

  • Roth, R; Rambow, O; Habash, N; Diab, M; Rudin, C

Published Date

  • January 1, 2008

Published In

  • Acl 08: Hlt 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Start / End Page

  • 117 - 120

International Standard Book Number 13 (ISBN-13)

  • 9781932432046

Digital Object Identifier (DOI)

  • 10.3115/1557690.1557721

Citation Source

  • Scopus