@inproceedings{obeid-etal-2022-camelira,
    title = "Camelira: An {A}rabic Multi-Dialect Morphological Disambiguator",
    author = "Obeid, Ossama  and
      Inoue, Go  and
      Habash, Nizar",
    editor = "Che, Wanxiang  and
      Shutova, Ekaterina",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.emnlp-demos.32/",
    doi = "10.18653/v1/2022.emnlp-demos.32",
    pages = "319--326",
    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 \url{http://camelira.camel-lab.com}."
}