51 citations · 74 across the 3 of their papers we have counts for
3 papers
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…
cs.CL2019★ 8 cited
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation
Chenhui Chu, Raj Dabre
In this paper, we propose two novel methods for domain adaptation for the attention-only neural machine translation (NMT) model, i.e., the Transformer. Our methods focus on trainin…
cs.CL2017★ 51 cited
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation
Chenhui Chu, Raj Dabre, Sadao Kurohashi
In this paper, we propose a novel domain adaptation method named "mixed fine tuning" for neural machine translation (NMT). We combine two existing approaches namely fine tuning and…