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.

• Publication year

  2008

• Venue

  Annual Meeting of the Association for Computational Linguistics

• Publication date

  2008-06-16

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1557690.1557721
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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