@inproceedings{habash-etal-2022-morphotactic,
title = "Morphotactic Modeling in an Open-source Multi-dialectal {A}rabic Morphological Analyzer and Generator",
author = "Habash, Nizar and
Marzouk, Reham and
Khairallah, Christian and
Khalifa, Salam",
booktitle = "Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",
month = jul,
year = "2022",
address = "Seattle, Washington",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sigmorphon-1.10",
doi = "10.18653/v1/2022.sigmorphon-1.10",
pages = "92--102",
abstract = "Arabic is a morphologically rich and complex language, with numerous dialectal variants. Previous efforts on Arabic morphology modeling focused on specific variants and specific domains using a range of techniques with different degrees of linguistic modeling transparency. In this paper we propose a new approach to modeling Arabic morphology with an eye towards multi-dialectness, resource openness, and easy extensibility and use. We demonstrate our approach by modeling verbs from Standard Arabic and Egyptian Arabic, within a common framework, and with high coverage.",
}
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%0 Conference Proceedings
%T Morphotactic Modeling in an Open-source Multi-dialectal Arabic Morphological Analyzer and Generator
%A Habash, Nizar
%A Marzouk, Reham
%A Khairallah, Christian
%A Khalifa, Salam
%S Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, Washington
%F habash-etal-2022-morphotactic
%X Arabic is a morphologically rich and complex language, with numerous dialectal variants. Previous efforts on Arabic morphology modeling focused on specific variants and specific domains using a range of techniques with different degrees of linguistic modeling transparency. In this paper we propose a new approach to modeling Arabic morphology with an eye towards multi-dialectness, resource openness, and easy extensibility and use. We demonstrate our approach by modeling verbs from Standard Arabic and Egyptian Arabic, within a common framework, and with high coverage.
%R 10.18653/v1/2022.sigmorphon-1.10
%U https://aclanthology.org/2022.sigmorphon-1.10
%U https://doi.org/10.18653/v1/2022.sigmorphon-1.10
%P 92-102
Markdown (Informal)
[Morphotactic Modeling in an Open-source Multi-dialectal Arabic Morphological Analyzer and Generator](https://aclanthology.org/2022.sigmorphon-1.10) (Habash et al., SIGMORPHON 2022)
ACL