Morphological analysis and disambiguation for Gulf Arabic: The interplay between resources and methods

Salam Khalifa, Nasser Zalmout, Nizar Habash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we present the first full morphological analysis and disambiguation system for Gulf Arabic. We use an existing state-of-the-art morphological disambiguation system to investigate the effects of different data sizes and different combinations of morphological analyzers for Modern Standard Arabic, Egyptian Arabic, and Gulf Arabic. We find that in very low settings, morphological analyzers help boost the performance of the full morphological disambiguation task. However, as the size of resources increase, the value of the morphological analyzers decreases.
Original languageEnglish (US)
Title of host publicationLREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings
EditorsNicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
PublisherEuropean Language Resources Association (ELRA)
Pages3895-3904
Number of pages10
ISBN (Electronic)9791095546344
ISBN (Print)9791095546344
StatePublished - 2020

Publication series

NameLREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings

Keywords

  • Disambiguation
  • Gulf Arabic
  • Morphology

ASJC Scopus subject areas

  • Education
  • Library and Information Sciences
  • Language and Linguistics
  • Linguistics and Language

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