41 citations · 93 across the 26 of their papers we have counts for
Showing 2019Show all
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cs.CL2019★ 5 cited
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
Yang Feng, Wanying Xie, Shuhao Gu +4
Neural machine translation models usually adopt the teacher forcing strategy for training which requires the predicted sequence matches ground truth word by word and forces the pro…
cs.CL2019★ 41 cited
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
Chenze Shao, Jinchao Zhang, Yang Feng +2
Non-Autoregressive Neural Machine Translation (NAT) achieves significant decoding speedup through generating target words independently and simultaneously. However, in the context…
cs.CL2019★ 11 cited
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
Chenze Shao, Yang Feng, Jinchao Zhang +3
Non-Autoregressive Transformer (NAT) aims to accelerate the Transformer model through discarding the autoregressive mechanism and generating target words independently, which fails…