NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task

Muhammad Abdul-Mageed, Chiyu Zhang, Abdel Rahim Elmadany, Houda Bouamor, Nizar Habash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present the findings and results of the Second Nuanced Arabic Dialect Identification Shared Task (NADI 2021). This Shared Task includes four subtasks: Country-level Modern Standard Arabic (MSA) identification (Subtask 1.1), country-level dialect identification (Subtask 1.2), province-level MSA identification (Subtask 2.1), and province-level sub-dialect identification (Subtask 2.2). The shared task dataset covers a total of 100 provinces from 21 Arab countries, collected from the Twitter domain. A total of 53 teams from 23 countries registered to participate in the tasks, thus reflecting the interest of the community in this area. We received 16 submissions for Subtask 1.1 from five teams, 27 submissions for Subtask 1.2 from eight teams, 12 submissions for Subtask 2.1 from four teams, and 13 Submissions for subtask 2.2 from four teams.

Original languageEnglish (US)
Title of host publicationWANLP 2021 - 6th Arabic Natural Language Processing Workshop, Proceedings of the Workshop
EditorsNizar Habash, Houda Bouamor, Hazem Hajj, Walid Magdy, Wajdi Zaghouani, Fethi Bougares, Nadi Tomeh, Ibrahim Abu Farha, Samia Touileb
Place of PublicationKyiv, Ukraine (Virtual)
PublisherAssociation for Computational Linguistics (ACL)
Pages244-259
Number of pages16
ISBN (Electronic)9781954085091
StatePublished - 2021
Event6th Arabic Natural Language Processing Workshop, WANLP 2021 - Virtual, Kyiv, Ukraine
Duration: Apr 19 2021 → …

Publication series

NameWANLP 2021 - 6th Arabic Natural Language Processing Workshop, Proceedings of the Workshop

Conference

Conference6th Arabic Natural Language Processing Workshop, WANLP 2021
Country/TerritoryUkraine
CityVirtual, Kyiv
Period4/19/21 → …

ASJC Scopus subject areas

  • Language and Linguistics
  • Computational Theory and Mathematics
  • Software
  • Linguistics and Language

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