Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals

Christian Khairallah, Reham Marzouk, Salam Khalifa, Mayar Nassar, Nizar Habash


Abstract
Modern Standard Arabic (MSA) nominals present many morphological and lexical modeling challenges that have not been consistently addressed previously. This paper attempts to define the space of such challenges, and leverage a recently proposed morphological framework to build a comprehensive and extensible model for MSA nominals. Our model design addresses the nominals’ intricate morphotactics, as well as their paradigmatic irregularities. Our implementation showcases enhanced accuracy and consistency compared to a commonly used MSA morphological analyzer and generator. We make our models publicly available.
Anthology ID:
2024.findings-eacl.72
Volume:
Findings of the Association for Computational Linguistics: EACL 2024
Month:
March
Year:
2024
Address:
St. Julian’s, Malta
Editors:
Yvette Graham, Matthew Purver
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1071–1084
Language:
URL:
https://aclanthology.org/2024.findings-eacl.72
DOI:
Bibkey:
Cite (ACL):
Christian Khairallah, Reham Marzouk, Salam Khalifa, Mayar Nassar, and Nizar Habash. 2024. Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals. In Findings of the Association for Computational Linguistics: EACL 2024, pages 1071–1084, St. Julian’s, Malta. Association for Computational Linguistics.
Cite (Informal):
Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals (Khairallah et al., Findings 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.findings-eacl.72.pdf
Video:
 https://aclanthology.org/2024.findings-eacl.72.mp4