Work

Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals

Year: 2024

Type: conference-paper

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.

Source: Findings of the Association for Computational Linguistics: EACL

DOI: 10.18653/v1/2024.findings-eacl.72

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

Institution: New York University Abu Dhabi

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7126376019

FWCI: 0.608

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Cited by: 2

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