AraBERT with GANs for High Performance Fine-Grained Dialect Classification
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28387-1_15
Reference23 articles.
1. Habash, N., Diab, M., Rambow, O.: Conventional Orthography for Dialectal Arabic. no January 2012 (2015)
2. Zaidan, O.F., Callison-Burch, C.: Arabic dialect identification. Comput. Linguist. 40(1), 171–202 (2014)
3. Guellil, I., Saâdane, H., Azouaou, F., Gueni, B., Nouvel, D.: Arabic natural language processing: an overview. J. King Saud Univ. – Comput. Inform. Sci. 33(5), 497–507 (2021). https://doi.org/10.1016/j.jksuci.2019.02.006
4. Abdul-Mageed, M., Zhang, C., Elmadany, A., Bouamor, H., Habash, N.: Nadi 2021: The second nuanced arabic dialect identification shared task. arXiv preprint arXiv:2103.08466 (2021)
5. Guellil, I., Azouaou, F.: Arabic dialect identification with an unsupervised learning (based on a lexicon). application case: Algerian dialect. In: 2016 IEEE Intl Conference on Computational Science and Engineering (CSE), pp. 724–731. IEEE (2016)
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