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.- Anthology ID:
- 2022.emnlp-demos.32
- Volume:
- Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, UAE
- Editors:
- Wanxiang Che, Ekaterina Shutova
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 319–326
- Language:
- URL:
- https://aclanthology.org/2022.emnlp-demos.32
- DOI:
- 10.18653/v1/2022.emnlp-demos.32
- Cite (ACL):
- Ossama Obeid, Go Inoue, and Nizar Habash. 2022. Camelira: An Arabic Multi-Dialect Morphological Disambiguator. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 319–326, Abu Dhabi, UAE. Association for Computational Linguistics.
- Cite (Informal):
- Camelira: An Arabic Multi-Dialect Morphological Disambiguator (Obeid et al., EMNLP 2022)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2022.emnlp-demos.32.pdf