Transliterating Nom Script into Vietnamese National Script Using Multilingual Neural Machine Translation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7666-9_11
Reference22 articles.
1. Dinh, D., Nguyen, P., Nguyen, L.H.B.: Transliterating nôm scripts into Vietnamese national scripts using statistical machine translation. Int. J. Adv. Comput. Sci. Appl. 12(2) (2021). https://doi.org/10.14569/IJACSA.2021.0120205
2. Nguyen, H.B.L., Trang, M.C., Nguyen, T.H., Dinh, D.: Nôm-scripts transliteration using multilingual neural machine translation approach. In: Proceedings of the 14th National Conference on Fundamental and Applied Information Technology Research, Ho Chi Minh City, Vietnam: , December 2021 (2021). https://doi.org/10.15625/vap.2021.0091
3. Wang, Y., Zhou, L., Zhang, J., Zhai, F., Xu, J., Zong, C.: A compact and language-sensitive multilingual translation method. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 1213–1223 (2019)
4. Dabre, R., Fujita, A., Chu, C.: Exploiting multilingualism through multistage fine-tuning for low-resource neural machine translation. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 1410–1416 (2019)
5. Zhu, J., Xia, Y., Wu, L., et al.: Incorporating BERT into neural machine translation. arXiv preprint arXiv:2002.06823 (2020)
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