Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals
Christian Khairallah, Reham Marzouk, Salam Khalifa, Mayar Nassar, and, Nizar Habash

TL;DR
This paper introduces a comprehensive morphological model for Modern Standard Arabic nominals, addressing complex morphotactic and irregularities challenges, resulting in improved accuracy over existing analyzers.
Contribution
It presents a novel, extensible framework specifically designed for MSA nominals, enhancing morphological analysis and generation capabilities.
Findings
Enhanced accuracy over existing analyzers
Addressed complex morphotactic challenges
Model is publicly available
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.
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Taxonomy
TopicsNatural Language Processing Techniques · Language, Linguistics, Cultural Analysis
