1 code implementation • 20 Feb 2024 • Shoutao Guo, Shaolei Zhang, Zhengrui Ma, Min Zhang, Yang Feng
We propose SiLLM, which delegates the two sub-tasks to separate agents, thereby incorporating LLM into SiMT.
1 code implementation • 23 Oct 2023 • Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng
Simultaneous machine translation (SiMT) models are trained to strike a balance between latency and translation quality.
no code implementations • 20 Oct 2023 • Shoutao Guo, Shaolei Zhang, Yang Feng
Training the model with ground-truth at low latency may introduce forced anticipations, whereas utilizing reference consistent with the source word order at high latency results in performance degradation.
1 code implementation • 12 Sep 2023 • Shoutao Guo, Shaolei Zhang, Yang Feng
Simultaneous machine translation (SiMT) outputs translation while reading the source sentence.
1 code implementation • 22 May 2023 • Shoutao Guo, Shaolei Zhang, Yang Feng
Simultaneous machine translation (SiMT) starts to output translation while reading the source sentence and needs a precise policy to decide when to output the generated translation.
1 code implementation • 21 Oct 2022 • Shoutao Guo, Shaolei Zhang, Yang Feng
Compared to the fixed policy, the adaptive policy achieves better latency-quality tradeoffs by adopting a flexible translation policy.
1 code implementation • 20 Oct 2022 • Shaolei Zhang, Shoutao Guo, Yang Feng
In this paper, we propose a Wait-info Policy to balance source and target at the information level.