An Exploratory Study of SMT Versus NMT for the Resource Constraint English to Manipuri Translation

Author:

Devi Maibam Indika,Purkayastha Bipul Syam

Publisher

Springer Nature Singapore

Reference40 articles.

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2. Kinoshita S, Oshio T, Mitsuhashi T (2017) Comparison of SMT and NMT trained with large patent corpora: Japio at wat2017. In: Proceedings of the 4th workshop on Asian translation (WAT2017), pp 140–145

3. Koehn P, Knowles R (2017). Six challenges for neural machine translation. https://doi.org/10.18653/v1/W17-3204

4. Haddow B, Bawden R, Barone AVM, Helcl J, Birch A (2022) Survey of low-resource machine translation. Comput Linguist 48(3):673–732. https://doi.org/10.1162/coli_a_00442

5. Haque R, Liu CH, Way A (2021) Recent advances of low-resource neural machine translation. Mach Trans 1–24. https://doi.org/10.1007/s10590-021-09281-1

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1. Comparative study of low resource Digaru language using SMT and NMT;International Journal of Information Technology;2024-03-07

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