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.
|Title of host publication||Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)|
|Place of Publication||Minneapolis, Minnesota|
|Publisher||Association for Computational Linguistics (ACL)|
|Number of pages||6|
|State||Published - Jun 1 2019|
Obeid, O., Salameh, M., Bouamor, H., & Habash, N. (2019). ADIDA: Automatic Dialect Identification for Arabic. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations) (pp. 6-11). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/N19-4002