Name
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). |
Year | DOI | Venue |
|---|---|---|
2019 | 10.18653/v1/w19-5348 | FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT 2019) |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 14 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingce Xia | 1 | 130 | 19.23 |
| Xu Tan | 2 | 88 | 23.94 |
| Tian Fei | 3 | 0 | 0.34 |
| Gao Fei | 4 | 0 | 0.34 |
| Weicong Chen | 5 | 17 | 3.96 |
| Fan Yang | 6 | 0 | 0.34 |
| Gong Linyuan | 7 | 0 | 0.34 |
| Leng Yichong | 8 | 0 | 2.37 |
| Renqian Luo | 9 | 28 | 3.58 |
| Yiren Wang | 10 | 12 | 3.92 |
| Lijun Wu | 11 | 124 | 21.21 |
| Jinhua Zhu | 12 | 0 | 5.07 |
| Tao Qin | 13 | 2384 | 147.25 |
| Tie-yan Liu | 14 | 4662 | 256.32 |