8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2021
Transfer Learning for Sequence Generation: from Single-source to Multi-source
Xuancheng Huang, Jingfang Xu, Maosong Sun +1
Multi-source sequence generation (MSG) is an important kind of sequence generation tasks that takes multiple sources, including automatic post-editing, multi-source translation, mu…
cs.CL2020★ 8 cited
Neural Machine Translation: A Review of Methods, Resources, and Tools
Zhixing Tan, Shuo Wang, Zonghan Yang +4
Machine translation (MT) is an important sub-field of natural language processing that aims to translate natural languages using computers. In recent years, end-to-end neural machi…
cs.CL2019
Learning to Copy for Automatic Post-Editing
Xuancheng Huang, Yang Liu, Huanbo Luan +2
Automatic post-editing (APE), which aims to correct errors in the output of machine translation systems in a post-processing step, is an important task in natural language processi…