15 citations · 46 across the 11 of their papers we have counts for
12 papers
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…
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…
Non-Parametric Domain Adaptation for End-to-End Speech Translation
Yichao Du, Weizhi Wang, Zhirui Zhang +4
End-to-End Speech Translation (E2E-ST) has received increasing attention due to the potential of its less error propagation, lower latency, and fewer parameters. However, the effec…
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
Xiangpeng Wei, Heng Yu, Yue Hu +4
The principal task in supervised neural machine translation (NMT) is to learn to generate target sentences conditioned on the source inputs from a set of parallel sentence pairs, a…
Automatic Song Translation for Tonal Languages
Fenfei Guo, Chen Zhang, Zhirui Zhang +4
This paper develops automatic song translation (AST) for tonal languages and addresses the unique challenge of aligning words' tones with melody of a song in addition to conveying…
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables
Weizhi Wang, Zhirui Zhang, Yichao Du +3
Zero-shot translation, directly translating between language pairs unseen in training, is a promising capability of multilingual neural machine translation (NMT). However, it usual…