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        <title>Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals</title>
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    <name type="personal">
        <namePart type="given">Christian</namePart>
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    <name type="personal">
        <namePart type="given">Salam</namePart>
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    <name type="personal">
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        <name type="personal">
            <namePart type="given">Matthew</namePart>
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    <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.</abstract>
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        <date>2024-03</date>
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%0 Conference Proceedings
%T Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals
%A Khairallah, Christian
%A Marzouk, Reham
%A Khalifa, Salam
%A Nassar, Mayar
%A Habash, Nizar
%Y Graham, Yvette
%Y Purver, Matthew
%S Findings of the Association for Computational Linguistics: EACL 2024
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julian’s, Malta
%F khairallah-etal-2024-computational
%X 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.
%U https://aclanthology.org/2024.findings-eacl.72
%P 1071-1084

Markdown (Informal)

[Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals](https://aclanthology.org/2024.findings-eacl.72) (Khairallah et al., Findings 2024)

• Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals (Khairallah et al., Findings 2024)

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.