The MADAR Shared Task on Arabic Fine-Grained Dialect Identification

Houda Bouamor, Sabit Hassan, Nizar Habash

Research output: Contribution to conferencePaperpeer-review

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)
Number of pages9
DOIs
StatePublished - Sep 12 2019

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