Morphotactic Modeling in an Open-source Multi-dialectal Arabic Morphological Analyzer and Generator

Nizar Habash, Reham Marzouk, Christian Khairallah, Salam Khalifa

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

Abstract

Arabic is a morphologically rich and complex language, with numerous dialectal variants. Previous efforts on Arabic morphology modeling focused on specific variants and specific domains using a range of techniques with different degrees of linguistic modeling transparency. In this paper we propose a new approach to modeling Arabic morphology with an eye towards multi-dialectness, resource openness, and easy extensibility and use. We demonstrate our approach by modeling verbs from Standard Arabic and Egyptian Arabic, within a common framework, and with high coverage.

Original languageEnglish (US)
Title of host publicationSIGMORPHON 2022 - 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, Proceedings of the Workshop
EditorsGarrett Nicolai, Eleanor Chodroff
PublisherAssociation for Computational Linguistics (ACL)
Pages92-102
Number of pages11
ISBN (Electronic)9781955917827
StatePublished - 2022
Event19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, SIGMORPHON 2022 - Seattle, United States
Duration: Jul 14 2022 → …

Publication series

NameSIGMORPHON 2022 - 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, Proceedings of the Workshop

Conference

Conference19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, SIGMORPHON 2022
Country/TerritoryUnited States
CitySeattle
Period7/14/22 → …

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Linguistics and Language

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