NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task

Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor, Nizar Habash


Abstract
We present the results and findings of the First Nuanced Arabic Dialect Identification Shared Task (NADI). This Shared Task includes two subtasks: country-level dialect identification (Subtask 1) and province-level sub-dialect identification (Subtask 2). The data for the shared task covers a total of 100 provinces from 21 Arab countries and is collected from the Twitter domain. As such, NADI is the first shared task to target naturally-occurring fine-grained dialectal text at the sub-country level. A total of 61 teams from 25 countries registered to participate in the tasks, thus reflecting the interest of the community in this area. We received 47 submissions for Subtask 1 from 18 teams and 9 submissions for Subtask 2 from 9 teams.
Anthology ID:
2020.wanlp-1.9
Volume:
Proceedings of the Fifth Arabic Natural Language Processing Workshop
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Venue:
WANLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
97–110
Language:
URL:
https://aclanthology.org/2020.wanlp-1.9
DOI:
Bibkey:
Cite (ACL):
Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor, and Nizar Habash. 2020. NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task. In Proceedings of the Fifth Arabic Natural Language Processing Workshop, pages 97–110, Barcelona, Spain (Online). Association for Computational Linguistics.
Cite (Informal):
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task (Abdul-Mageed et al., WANLP 2020)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/2020.wanlp-1.9.pdf