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
DOI
10.18653/v1/2022.emnlp-demos.32
Publication Date
12-2022
Keywords
Egyptians, Linguistic information, Modern standards, Morphological disambiguation, Morphological features, Part Of Speech, Standard arabics, User friendly, Web based, Web interface
Recommended Citation
O. Obeid, G. Inoue, and N. Habash, "Camelira: An Arabic Multi-Dialect Morphological Disambiguator", In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, ACL, pp. 319–326, Abu Dhabi, Dec 2022. doi:10.18653/v1/2022.emnlp-demos.32
Additional Links
https://doi.org/10.18653/v1/2022.emnlp-demos.32
Comments
Open Access, archived thanks to ACL Anthology
License: CC BY 4.0
Uploaded: June 24, 2024