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20142022
most citedAchieving Human Parity on Automatic Chinese to English News Translation

566 citations · 1.6k across the 28 of their papers we have counts for

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Showing 2018Show all

7 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★ 39 cited

Neural Speech Synthesis with Transformer Network

Naihan Li, Shujie Liu, Yanqing Liu +3

Although end-to-end neural text-to-speech (TTS) methods (such as Tacotron2) are proposed and achieve state-of-the-art performance, they still suffer from two problems: 1) low effic…

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★ 15 cited

Triangular Architecture for Rare Language Translation

Shuo Ren, Wenhu Chen, Shujie Liu +3

Neural Machine Translation (NMT) performs poor on the low-resource language pair , especially when is a rare language. By introducing another rich language , we propo…

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…

cs.CL2018★ 3 cited

Assertion-based QA with Question-Aware Open Information Extraction

Zhao Yan, Duyu Tang, Nan Duan +5

We present assertion based question answering (ABQA), an open domain question answering task that takes a question and a passage as inputs, and outputs a semi-structured assertion…