@inproceedings{obeid-etal-2019-adida,
title = "{ADIDA}: Automatic Dialect Identification for {A}rabic",
author = "Obeid, Ossama and
Salameh, Mohammad and
Bouamor, Houda and
Habash, Nizar",
editor = "Ammar, Waleed and
Louis, Annie and
Mostafazadeh, Nasrin",
booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics (Demonstrations)",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N19-4002",
doi = "10.18653/v1/N19-4002",
pages = "6--11",
abstract = "This demo paper describes ADIDA, a web-based system for automatic dialect identification for Arabic text. The system distinguishes among the dialects of 25 Arab cities (from Rabat to Muscat) in addition to Modern Standard Arabic. The results are presented with either a point map or a heat map visualizing the automatic identification probabilities over a geographical map of the Arab World.",
}
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%0 Conference Proceedings
%T ADIDA: Automatic Dialect Identification for Arabic
%A Obeid, Ossama
%A Salameh, Mohammad
%A Bouamor, Houda
%A Habash, Nizar
%Y Ammar, Waleed
%Y Louis, Annie
%Y Mostafazadeh, Nasrin
%S Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F obeid-etal-2019-adida
%X This demo paper describes ADIDA, a web-based system for automatic dialect identification for Arabic text. The system distinguishes among the dialects of 25 Arab cities (from Rabat to Muscat) in addition to Modern Standard Arabic. The results are presented with either a point map or a heat map visualizing the automatic identification probabilities over a geographical map of the Arab World.
%R 10.18653/v1/N19-4002
%U https://aclanthology.org/N19-4002
%U https://doi.org/10.18653/v1/N19-4002
%P 6-11
Markdown (Informal)
[ADIDA: Automatic Dialect Identification for Arabic](https://aclanthology.org/N19-4002) (Obeid et al., NAACL 2019)
ACL
- Ossama Obeid, Mohammad Salameh, Houda Bouamor, and Nizar Habash. 2019. ADIDA: Automatic Dialect Identification for Arabic. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pages 6–11, Minneapolis, Minnesota. Association for Computational Linguistics.