CLFeb 1, 2024

Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals

arXiv:2402.00385v1103 citationsh-index: 16Findings
Originality Synthesis-oriented
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This work addresses a domain-specific problem for computational linguistics and Arabic language processing, with incremental improvements in modeling.

The paper tackled the morphological and lexical modeling challenges of Modern Standard Arabic nominals by building a comprehensive model using a recent framework, resulting in enhanced accuracy and consistency compared to an existing analyzer and generator.

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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