15 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Language-free Experience at Expo 2025 Osaka
Michael Paul, Kenji Imamura, Xiaolin Wang +2
In line with the Global Communication Plan 2025, we have pursued the development of multilingual translation technologies to realize a language-barrier-free experience at Expo 2025…
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…