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NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task

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arxiv 2010.11334 v3 pith:J6S3FNLY submitted 2020-10-21 cs.CL cs.AI

NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task

Muhammad Abdul-Mageed , Chiyu Zhang , Houda Bouamor , Nizar Habash This is my paper
classification cs.CL cs.AI
keywords sharedtaskidentificationsubtaskdialectfirstnaditeams
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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