Camelira: An Arabic Multi-Dialect Morphological Disambiguator

Authors

Ossama Obeid, NYU Abu Dhabi
Go Inoue, NYU Abu Dhabi & Mohamed bin Zayed University of Artificial IntelligenceFollow
Nizar Habash, NYU Abu Dhabi

Document Type

Conference Proceeding

Publication Title

EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session

Abstract

We present Camelira, a web-based Arabic multi-dialect morphological disambiguation tool that covers four major variants of Arabic: Modern Standard Arabic, Egyptian, Gulf, and Levantine. Camelira offers a user-friendly web interface that allows researchers and language learners to explore various linguistic information, such as part-of-speech, morphological features, and lemmas. Our system also provides an option to automatically choose an appropriate dialect-specific disambiguator based on the prediction of a dialect identification component. Camelira is publicly accessible at http://camelira.camel-lab.com.

First Page

319

Last Page

326

Publication Date

1-1-2022

Recommended Citation

Obeid, Ossama; Inoue, Go; and Habash, Nizar, "Camelira: An Arabic Multi-Dialect Morphological Disambiguator" (2022). Computer Vision Faculty Publications. 282.
https://dclibrary.mbzuai.ac.ae/cvfp/282