Camelira: An Arabic Multi-Dialect Morphological Disambiguator

Ossama Obeid, Go Inoue, Nizar Habash


Abstract
We present Camelira, a web-based Arabic multi-dialect morphological disambiguation tool that covers four major variants of Arabic: Modern Standard Arabic, Egyptian, Gulf, and Levantine.Camelira offers a user-friendly web interface that allows researchers and language learners to explore various linguistic information, such as part-of-speech, morphological features, and lemmas. Our system also provides an option to automatically choose an appropriate dialect-specific disambiguator based on the prediction of a dialect identification component. Camelira is publicly accessible at http://camelira.camel-lab.com.
Anthology ID:
2022.emnlp-demos.32
Volume:
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
December
Year:
2022
Address:
Abu Dhabi, UAE
Editors:
Wanxiang Che, Ekaterina Shutova
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
319–326
Language:
URL:
https://aclanthology.org/2022.emnlp-demos.32
DOI:
10.18653/v1/2022.emnlp-demos.32
Bibkey:
Cite (ACL):
Ossama Obeid, Go Inoue, and Nizar Habash. 2022. Camelira: An Arabic Multi-Dialect Morphological Disambiguator. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 319–326, Abu Dhabi, UAE. Association for Computational Linguistics.
Cite (Informal):
Camelira: An Arabic Multi-Dialect Morphological Disambiguator (Obeid et al., EMNLP 2022)
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PDF:
https://aclanthology.org/2022.emnlp-demos.32.pdf