activity
20172023
most citedText Compression-aided Transformer Encoding

51 citations · 92 across the 15 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.CL2020

SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task

Zuchao Li, Hai Zhao, Rui Wang +3

In this paper, we introduced our joint team SJTU-NICT 's participation in the WMT 2020 machine translation shared task. In this shared task, we participated in four translation dir…

cs.CL2020

A System for Worldwide COVID-19 Information Aggregation

Akiko Aizawa, Frederic Bergeron, Junjie Chen +26

The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education. Meanwhil…

cs.CL20206 cited

Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation

Haipeng Sun, Rui Wang, Kehai Chen +3

Unsupervised neural machine translation (UNMT) has recently achieved remarkable results for several language pairs. However, it can only translate between a single language pair an…

cs.CL20202 cited

Explicit Reordering for Neural Machine Translation

Kehai Chen, Rui Wang, Masao Utiyama +1

In Transformer-based neural machine translation (NMT), the positional encoding mechanism helps the self-attention networks to learn the source representation with order dependency,…

cs.CL2020

Reference Language based Unsupervised Neural Machine Translation

Zuchao Li, Hai Zhao, Rui Wang +2

Exploiting a common language as an auxiliary for better translation has a long tradition in machine translation and lets supervised learning-based machine translation enjoy the enh…

cs.CL20203 cited

Modeling Future Cost for Neural Machine Translation

Chaoqun Duan, Kehai Chen, Rui Wang +4

Existing neural machine translation (NMT) systems utilize sequence-to-sequence neural networks to generate target translation word by word, and then make the generated word at each…