3 papers
cs.CL2020
TICO-19: the Translation Initiative for Covid-19
Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou +15
The COVID-19 pandemic is the worst pandemic to strike the world in over a century. Crucial to stemming the tide of the SARS-CoV-2 virus is communicating to vulnerable populations t…
cs.CL2018
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection
Wei Wang, Taro Watanabe, Macduff Hughes +2
Measuring domain relevance of data and identifying or selecting well-fit domain data for machine translation (MT) is a well-studied topic, but denoising is not yet. Denoising is co…
cs.CL2018
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
Mia Xu Chen, Orhan Firat, Ankur Bapna +9
The past year has witnessed rapid advances in sequence-to-sequence (seq2seq) modeling for Machine Translation (MT). The classic RNN-based approaches to MT were first out-performed…