The MADAR Shared Task on Arabic Fine-Grained Dialect Identification

Houda Bouamor, Sabit Hassan, Nizar Habash


Abstract
In this paper, we present the results and findings of the MADAR Shared Task on Arabic Fine-Grained Dialect Identification. This shared task was organized as part of The Fourth Arabic Natural Language Processing Workshop, collocated with ACL 2019. The shared task includes two subtasks: the MADAR Travel Domain Dialect Identification subtask (Subtask 1) and the MADAR Twitter User Dialect Identification subtask (Subtask 2). This shared task is the first to target a large set of dialect labels at the city and country levels. The data for the shared task was created or collected under the Multi-Arabic Dialect Applications and Resources (MADAR) project. A total of 21 teams from 15 countries participated in the shared task.
Anthology ID:
W19-4622
Volume:
Proceedings of the Fourth Arabic Natural Language Processing Workshop
Month:
August
Year:
2019
Address:
Florence, Italy
Editors:
Wassim El-Hajj, Lamia Hadrich Belguith, Fethi Bougares, Walid Magdy, Imed Zitouni, Nadi Tomeh, Mahmoud El-Haj, Wajdi Zaghouani
Venue:
WANLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
199–207
Language:
URL:
https://aclanthology.org/W19-4622/
DOI:
10.18653/v1/W19-4622
Bibkey:
Cite (ACL):
Houda Bouamor, Sabit Hassan, and Nizar Habash. 2019. The MADAR Shared Task on Arabic Fine-Grained Dialect Identification. In Proceedings of the Fourth Arabic Natural Language Processing Workshop, pages 199–207, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
The MADAR Shared Task on Arabic Fine-Grained Dialect Identification (Bouamor et al., WANLP 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-4622.pdf

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