The MADAR shared task on arabic fine-grained dialect identification

Houda Bouamor, Sabit Hassan, Nizar Habash

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

Abstract

In this paper, we present the results and findings of the MADAR Shared Task on Arabic Fine-Grained Dialect Identification. This shared task was organized as part of The Fourth Arabic Natural Language Processing Workshop, collocated with ACL 2019. The shared task includes two subtasks: The MADAR Travel Domain Dialect Identification subtask (Subtask 1) and the MADAR Twitter User Dialect Identification subtask (Subtask 2). This shared task is the first to target a large set of dialect labels at the city and country levels. The data for the shared task was created or collected under the Multi-Arabic Dialect Applications and Resources (MADAR) project. A total of 21 teams from 15 countries participated in the shared task.

Original languageEnglish (US)
Title of host publicationACL 2019 - 4th Arabic Natural Language Processing Workshop, WANLP 2019 - Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages199-207
Number of pages9
ISBN (Electronic)9781950737321
StatePublished - 2019
Event4th Arabic Natural Language Processing Workshop, WANLP 2019, held at ACL 2019 - Florence, Italy
Duration: Aug 1 2019 → …

Publication series

NameACL 2019 - 4th Arabic Natural Language Processing Workshop, WANLP 2019 - Proceedings of the Workshop

Conference

Conference4th Arabic Natural Language Processing Workshop, WANLP 2019, held at ACL 2019
Country/TerritoryItaly
CityFlorence
Period8/1/19 → …

ASJC Scopus subject areas

  • Software
  • Language and Linguistics
  • Linguistics and Language

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