@inproceedings{obeid-etal-2022-camelira,
title = "Camelira: An {A}rabic Multi-Dialect Morphological Disambiguator",
author = "Obeid, Ossama and
Inoue, Go and
Habash, Nizar",
editor = "Che, Wanxiang and
Shutova, Ekaterina",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
month = dec,
year = "2022",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.emnlp-demos.32",
doi = "10.18653/v1/2022.emnlp-demos.32",
pages = "319--326",
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 \url{http://camelira.camel-lab.com}.",
}
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%0 Conference Proceedings
%T Camelira: An Arabic Multi-Dialect Morphological Disambiguator
%A Obeid, Ossama
%A Inoue, Go
%A Habash, Nizar
%Y Che, Wanxiang
%Y Shutova, Ekaterina
%S Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, UAE
%F obeid-etal-2022-camelira
%X 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.
%R 10.18653/v1/2022.emnlp-demos.32
%U https://aclanthology.org/2022.emnlp-demos.32
%U https://doi.org/10.18653/v1/2022.emnlp-demos.32
%P 319-326
Markdown (Informal)
[Camelira: An Arabic Multi-Dialect Morphological Disambiguator](https://aclanthology.org/2022.emnlp-demos.32) (Obeid et al., EMNLP 2022)
ACL