most citedUsing Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.CL2021★ 3 cited

Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation

Yui Oka, Katsuhito Sudoh, Satoshi Nakamura

Non-autoregressive neural machine translation (NAT) usually employs sequence-level knowledge distillation using autoregressive neural machine translation (AT) as its teacher model.…