We present the results and findings of the First Nuanced Arabic Dialect Identification Shared Task (NADI). The 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 to Subtask 2 from 9 teams.
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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The shared task
This Shared Task
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country level
country-level
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province level
province-level
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,
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to
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