5.7k citations · 5.7k across the 3 of their papers we have counts for
3 papers
cs.CL2018★ 13 cited
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.CL2016★ 5.7k cited
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, Zhifeng Chen +28
Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of the weaknesses of conventional phrase-based tr…
cs.CL2004★ 4 cited
Statistical Machine Translation by Generalized Parsing
I. Dan Melamed, Wei Wang
Designers of statistical machine translation (SMT) systems have begun to employ tree-structured translation models. Systems involving tree-structured translation models tend to be…