307 citations · 568 across the 44 of their papers we have counts for
18 papers · 1 filter
Rephrasing the Reference for Non-Autoregressive Machine Translation
Chenze Shao, Jinchao Zhang, Jie Zhou +1
Non-autoregressive neural machine translation (NAT) models suffer from the multi-modality problem that there may exist multiple possible translations of a source sentence, so the r…
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions
Shuhao Gu, Bojie Hu, Yang Feng
This paper considers continual learning of large-scale pretrained neural machine translation model without accessing the previous training data or introducing model separation. We…
Information-Transport-based Policy for Simultaneous Translation
Shaolei Zhang, Yang Feng
Simultaneous translation (ST) outputs translation while receiving the source inputs, and hence requires a policy to determine whether to translate a target token or wait for the ne…
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues
Jiao Ou, Jinchao Zhang, Yang Feng +1
The construction of open-domain dialogue systems requires high-quality dialogue datasets. The dialogue data admits a wide variety of responses for a given dialogue history, especia…
Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation
Shoutao Guo, Shaolei Zhang, Yang Feng
Simultaneous machine translation (SiMT) starts its translation before reading the whole source sentence and employs either fixed or adaptive policy to generate the target sentence.…
Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation
Shaolei Zhang, Shoutao Guo, Yang Feng
Simultaneous machine translation (SiMT) outputs the translation while receiving the source inputs, and hence needs to balance the received source information and translated target…