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20172024
most citedAchieving Human Parity on Automatic Chinese to English News Translation

566 citations · 933 across the 33 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CL2018

Approximate Distribution Matching for Sequence-to-Sequence Learning

Wenhu Chen, Guanlin Li, Shujie Liu +3

Sequence-to-Sequence models were introduced to tackle many real-life problems like machine translation, summarization, image captioning, etc. The standard optimization algorithms a…

cs.CL2018★ 113 cited

Style Transfer as Unsupervised Machine Translation

Zhirui Zhang, Shuo Ren, Shujie Liu +5

Language style transferring rephrases text with specific stylistic attributes while preserving the original attribute-independent content. One main challenge in learning a style tr…

cs.CL2018★ 8 cited

Regularizing Neural Machine Translation by Target-bidirectional Agreement

Zhirui Zhang, Shuangzhi Wu, Shujie Liu +3

Although Neural Machine Translation (NMT) has achieved remarkable progress in the past several years, most NMT systems still suffer from a fundamental shortcoming as in other seque…

cs.CL2018★ 566 cited

Achieving Human Parity on Automatic Chinese to English News Translation

Hany Hassan, Anthony Aue, Chang Chen +21

Machine translation has made rapid advances in recent years. Millions of people are using it today in online translation systems and mobile applications in order to communicate acr…

cs.CL2018★ 30 cited

Joint Training for Neural Machine Translation Models with Monolingual Data

Zhirui Zhang, Shujie Liu, Mu Li +2

Monolingual data have been demonstrated to be helpful in improving translation quality of both statistical machine translation (SMT) systems and neural machine translation (NMT) sy…