@inproceedings{339195661afe49f9a1ccebe6150cc1f5,
title = "ADIDA: Automatic dialect identification for Arabic",
abstract = "This demo paper describes ADIDA, a webbased 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.",
author = "Ossama Obeid and Mohammad Salameh and Houda Bouamor and Nizar Habash",
year = "2019",
language = "English (US)",
series = "NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session",
publisher = "Association for Computational Linguistics (ACL)",
pages = "6--11",
booktitle = "NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics",
note = "2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019 ; Conference date: 02-06-2019 Through 07-06-2019",
}