4 citations · 6 across the 4 of their papers we have counts for
4 papers
Parallel Attention Forcing for Machine Translation
Qingyun Dou, Mark Gales
Attention-based autoregressive models have achieved state-of-the-art performance in various sequence-to-sequence tasks, including Text-To-Speech (TTS) and Neural Machine Translatio…
Deliberation Networks and How to Train Them
Qingyun Dou, Mark Gales
Deliberation networks are a family of sequence-to-sequence models, which have achieved state-of-the-art performance in a wide range of tasks such as machine translation and speech…
Attention Forcing for Machine Translation
Qingyun Dou, Yiting Lu, Potsawee Manakul +2
Auto-regressive sequence-to-sequence models with attention mechanisms have achieved state-of-the-art performance in various tasks including Text-To-Speech (TTS) and Neural Machine…
Attention Forcing for Sequence-to-sequence Model Training
Qingyun Dou, Yiting Lu, Joshua Efiong +1
Auto-regressive sequence-to-sequence models with attention mechanism have achieved state-of-the-art performance in many tasks such as machine translation and speech synthesis. Thes…