51 citations · 63 across the 3 of their papers we have counts for
3 papers
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.CL2019★ 4 cited
Using Natural Language Processing to Develop an Automated Orthodontic Diagnostic System
Tomoyuki Kajiwara, Chihiro Tanikawa, Yuujin Shimizu +3
We work on the task of automatically designing a treatment plan from the findings included in the medical certificate written by the dentist. To develop an artificial intelligence…
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…