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cs.CL2023
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting
Ke Wang, Jun Xie, Yuqi Zhang +1
Improving neural machine translation (NMT) systems with prompting has achieved significant progress in recent years. In this work, we focus on how to integrate multi-knowledge, mul…
cs.CL2023
Improving Non-autoregressive Translation Quality with Pretrained Language Model, Embedding Distillation and Upsampling Strategy for CTC
Shen-sian Syu, Juncheng Xie, Hung-yi Lee
Non-autoregressive approaches aim to improve the inference speed of translation models, particularly those that generate output in a one-pass forward manner. However, these approac…