Work

Microsoft Research Asia's Systems for WMT19

Year: 2019

Type: preprint

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).

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1911.06191

Authors: Xia, Yingce, Tan, Xu, Tian, Fei, Gao, Fei, Chen, Weicong, Fan, Yang, Gong, Linyuan, Leng, Yichong, Luo, Renqian, Wang, Yiren, Wu, Lijun, Zhu, Jinhua, Qin, Tao, Liu, Tie-Yan

Institution: Microsoft Research Asia (China)

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2984403574

Cites: 17

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Related to: 10