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

  • Ryan Roth
  • , Owen Rambow
  • , Nizar Habash
  • , Mona Diab
  • , Cynthia Rudin
  • Columbia University

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

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.

Original languageEnglish
Pages (from-to)117-120
Number of pages4
JournalProceedings of the Annual Meeting of the Association for Computational Linguistics
StatePublished - 2008
Event46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL 2008 - Columbus, United States
Duration: Jun 16 2008Jun 17 2008

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