NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task
October 21, 2020 ยท Declared Dead ยท ๐ Workshop on Arabic Natural Language Processing
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Authors
Muhammad Abdul-Mageed, Chiyu Zhang, Houda Bouamor, Nizar Habash
arXiv ID
2010.11334
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
137
Venue
Workshop on Arabic Natural Language Processing
Last Checked
3 months ago
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 are 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.
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