Work

The MADAR Shared Task on Arabic Fine-Grained Dialect Identification

Year: 2019

Type: conference-paper

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.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.18653/v1/w19-4622

Authors: Houda Bouamor, Sabit Hassan, Nizar Habash

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2970513828

FWCI: 7.361

Cites: 29

Cited by: 115

Related to: 10