Microsoft Research Asia's Systems for WMT19
November 07, 2019 ยท Declared Dead ยท ๐ Conference on Machine Translation
"No code URL or promise found in abstract"
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Authors
Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu
arXiv ID
1911.06191
Category
cs.CL: Computation & Language
Cross-listed
cs.LG,
stat.ML
Citations
26
Venue
Conference on Machine Translation
Last Checked
4 months ago
Abstract
We Microsoft Research Asia made submissions to 11 language directions in the WMT19 news translation tasks. We won the first place for 8 of the 11 directions and the second place for the other three. Our basic systems are built on Transformer, back translation and knowledge distillation. We integrate several of our rececent techniques to enhance the baseline systems: multi-agent dual learning (MADL), masked sequence-to-sequence pre-training (MASS), neural architecture optimization (NAO), and soft contextual data augmentation (SCA).
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