ADIDA: Automatic Dialect Identification for Arabic

Ossama Obeid, Mohammad Salameh, Houda Bouamor, Nizar Habash

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

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.
Original languageUndefined
Title of host publicationProceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)
Place of PublicationMinneapolis, Minnesota
PublisherAssociation for Computational Linguistics (ACL)
Pages6-11
Number of pages6
DOIs
StatePublished - Jun 1 2019

Cite this