Work

ADIDA: Automatic Dialect Identification for Arabic

Year: 2019

Type: conference-paper

Abstract: This demo paper describes ADIDA, a web-based system for automatic dialect identification for Arabic text. The system distinguishes among the dialects of 25 Arab cities (from Rabat to Muscat) in addition to Modern Standard Arabic. The results are presented with either a point map or a heat map visualizing the automatic identification probabilities over a geographical map of the Arab World.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.18653/v1/n19-4002

Authors: Ossama Obeid, Mohammad Salameh, Houda Bouamor, Nizar Habash

Institutions: New York University Abu Dhabi, New York University, Carnegie Mellon University Qatar, Carnegie Mellon University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2946621315

FWCI: 1.052

Cites: 37

Cited by: 15

Related to: 10