Breaking language barriers with ChatGPT: enhancing low-resource machine translation between algerian arabic and MSA
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41870-024-01926-7.pdf
Reference39 articles.
1. Neubig G, Hu J (2018) Rapid Adaptation of Neural Machine Translation to New Languages. In: Proceedings of the 2018 Conference on EMNLP, pp. 875–880. ACL, Stroudsburg, PA, USA https://doi.org/10.18653/v1/D18-1103
2. Lakew SM, Federico M, Negri M, Turchi M (2018) Multilingual Neural Machine Translation for Low-Resource Languages. IJCoL 4(1), 11–25 https://doi.org/10.4000/ijcol.531arXiv:1909.07342
3. Koul N, Manvi SS A proposed model for neural machine translation of sanskrit into english. IJIT 13(1), 375–381 https://doi.org/10.1007/s41870-019-00340-8
4. Peng K, Ding L, Zhong Q, Shen L, Liu X, Zhang M, Ouyang Y, Tao D (2023).Towards Making the Most of ChatGPT for Machine Translation arXiv:2303.13780
5. Leiter C, Zhang R, Chen Y, Belouadi J, Larionov D, Fresen V, Eger S (2023) ChatGPT: A Meta-Analysis after 2.5 Months arXiv:2302.13795
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