%0 Conference Proceedings %T The MADAR Shared Task on Arabic Fine-Grained Dialect Identification %A Bouamor, Houda %A Hassan, Sabit %A Habash, Nizar %Y El-Hajj, Wassim %Y Belguith, Lamia Hadrich %Y Bougares, Fethi %Y Magdy, Walid %Y Zitouni, Imed %Y Tomeh, Nadi %Y El-Haj, Mahmoud %Y Zaghouani, Wajdi %S Proceedings of the Fourth Arabic Natural Language Processing Workshop %D 2019 %8 August %I Association for Computational Linguistics %C Florence, Italy %F bouamor-etal-2019-madar %X 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. %R 10.18653/v1/W19-4622 %U https://aclanthology.org/W19-4622 %U https://doi.org/10.18653/v1/W19-4622 %P 199-207