Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic

Christian Khairallah, Salam Khalifa, Reham Marzouk, Mayar Nassar, Nizar Habash

Abstract
We present Camel Morph MSA, the largest open-source Modern Standard Arabic morphological analyzer and generator. Camel Morph MSA has over 100K lemmas, and includes rarely modeled morphological features of Modern Standard Arabic with Classical Arabic origins. Camel Morph MSA can produce ∼1.45B analyses and ∼535M unique diacritizations, almost an order of magnitude larger than SAMA (Maamouri et al., 2010c), in addition to having ∼36% less OOV rate than SAMA on a 10B word corpus. Furthermore, Camel Morph MSA fills the gaps of many lemma paradigms by modeling linguistic phenomena consistently. Camel Morph MSA seamlessly integrates with the Camel Tools Python toolkit (Obeid et al., 2020), ensuring ease of use and accessibility.
Anthology ID:
2024.lrec-main.240
Volume:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Venues:
LREC | COLING
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
2683–2691
Language:
URL:
https://aclanthology.org/2024.lrec-main.240
DOI:
Bibkey:
Cite (ACL):
Christian Khairallah, Salam Khalifa, Reham Marzouk, Mayar Nassar, and Nizar Habash. 2024. Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 2683–2691, Torino, Italia. ELRA and ICCL.
Cite (Informal):
Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic (Khairallah et al., LREC-COLING 2024)
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