Microsoft Research Asia’s Systems for WMT19
Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu
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).- Anthology ID:
- W19-5348
- Volume:
- Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 424–433
- Language:
- URL:
- https://aclanthology.org/W19-5348
- DOI:
- 10.18653/v1/W19-5348
- Bibkey:
- Cite (ACL):
- Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, and Tie-Yan Liu. 2019. Microsoft Research Asia’s Systems for WMT19. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 424–433, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Microsoft Research Asia’s Systems for WMT19 (Xia et al., WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5348.pdf
- Data
- ASIRRA, Azure Functions Trace 2019
Export citation
@inproceedings{xia-etal-2019-microsoft,
title = "{M}icrosoft {R}esearch {A}sia{'}s Systems for {WMT}19",
author = "Xia, Yingce and
Tan, Xu and
Tian, Fei and
Gao, Fei and
He, Di and
Chen, Weicong and
Fan, Yang and
Gong, Linyuan and
Leng, Yichong and
Luo, Renqian and
Wang, Yiren and
Wu, Lijun and
Zhu, Jinhua and
Qin, Tao and
Liu, Tie-Yan",
editor = "Bojar, Ond{\v{r}}ej and
Chatterjee, Rajen and
Federmann, Christian and
Fishel, Mark and
Graham, Yvette and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Martins, Andr{\'e} and
Monz, Christof and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Post, Matt and
Turchi, Marco and
Verspoor, Karin",
booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5348",
doi = "10.18653/v1/W19-5348",
pages = "424--433",
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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%0 Conference Proceedings %T Microsoft Research Asia’s Systems for WMT19 %A Xia, Yingce %A Tan, Xu %A Tian, Fei %A Gao, Fei %A He, Di %A Chen, Weicong %A Fan, Yang %A Gong, Linyuan %A Leng, Yichong %A Luo, Renqian %A Wang, Yiren %A Wu, Lijun %A Zhu, Jinhua %A Qin, Tao %A Liu, Tie-Yan %Y Bojar, Ondřej %Y Chatterjee, Rajen %Y Federmann, Christian %Y Fishel, Mark %Y Graham, Yvette %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Martins, André %Y Monz, Christof %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Post, Matt %Y Turchi, Marco %Y Verspoor, Karin %S Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1) %D 2019 %8 August %I Association for Computational Linguistics %C Florence, Italy %F xia-etal-2019-microsoft %X 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). %R 10.18653/v1/W19-5348 %U https://aclanthology.org/W19-5348 %U https://doi.org/10.18653/v1/W19-5348 %P 424-433
Markdown (Informal)
[Microsoft Research Asia’s Systems for WMT19](https://aclanthology.org/W19-5348) (Xia et al., WMT 2019)
- Microsoft Research Asia’s Systems for WMT19 (Xia et al., WMT 2019)
ACL
- Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, and Tie-Yan Liu. 2019. Microsoft Research Asia’s Systems for WMT19. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 424–433, Florence, Italy. Association for Computational Linguistics.