most citedExploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation

15 citations · 15 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2022

Extending the Subwording Model of Multilingual Pretrained Models for New Languages

Kenji Imamura, Eiichiro Sumita

Multilingual pretrained models are effective for machine translation and cross-lingual processing because they contain multiple languages in one model. However, they are pretrained…

cs.CL2019★ 15 cited

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation

Aizhan Imankulova, Raj Dabre, Atsushi Fujita +1

This paper proposes a novel multilingual multistage fine-tuning approach for low-resource neural machine translation (NMT), taking a challenging Japanese--Russian pair for benchmar…