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Article Dans Une Revue Studies in Computational Intelligence Année : 2022

Morphological Analyzers of Arabic Dialects: A survey

Résumé

Morphological analysis is a crucial stage in natural language processing. For the Arabic language many attempts have been conducted to build morphological analyzers. Despite the increasing attention paid to Arabic dialects recently, only a few number of morphological analyzers have been built compared to MSA. In addition, those tools often cover a few dialects of Arabic such as Egyptian and Levantine, thereby they don't currently support all Arabic dialects. In this paper, we present a wide literature review of morphological analyzers processing Arabic dialects. We classify their building approaches and propose some guidelines to adapt them to a specific Arabic dialect. In addition, a quick benchmarking of the available analyzers is given in order to evaluate their performance. Our goal in this paper is to provide a quick reference guide of Arabic dialect morphological analyzers, as well as some recommendations for researchers needing to develop new Arabic dialect morphological analyzers. Results of this survey can be used as baseline for future Arabic dialect morphological analyzers building
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Dates et versions

hal-03914581 , version 1 (28-12-2022)

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Ridouane Tachicart, Karim Bouzoubaa, Salima Harrat, Kamel Smaïli. Morphological Analyzers of Arabic Dialects: A survey. Studies in Computational Intelligence, 2022, Recent Innovations in Artificial Intelligence and Smart Applications, 1061, ⟨10.1007/978-3-031-14748-7_11⟩. ⟨hal-03914581⟩
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