5 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.CL2022★ 5 cited
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation
Tsz Kin Lam, Eva Hasler, Felix Hieber
Customer feedback can be an important signal for improving commercial machine translation systems. One solution for fixing specific translation errors is to remove the related erro…
cs.CL2019★ 5 cited
Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
We propose an interactive-predictive neural machine translation framework for easier model personalization using reinforcement and imitation learning. During the interactive transl…
cs.CL2018
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation
Tsz Kin Lam, Julia Kreutzer, Stefan Riezler
We present an approach to interactive-predictive neural machine translation that attempts to reduce human effort from three directions: Firstly, instead of requiring humans to sele…