Search Results for author: Baigong Zheng

Found 10 papers, 1 papers with code

Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation

no code implementations22 Feb 2024 Fengqi Liang, Baigong Zheng, Liqin Zhao, Guorui Zhou, Qian Wang, Yanan Niu

In this paper, we propose a new data stream design paradigm, dubbed Sliver, that addresses the timeliness and accuracy problem of labels by reducing the window size and implementing a sliding window correspondingly.

Recommendation Systems

Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training

no code implementations Findings of the Association for Computational Linguistics 2020 Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Jiahong Yuan, Kenneth Church, Liang Huang

Simultaneous speech-to-speech translation is widely useful but extremely challenging, since it needs to generate target-language speech concurrently with the source-language speech, with only a few seconds delay.

Sentence Speech-to-Speech Translation +1

Opportunistic Decoding with Timely Correction for Simultaneous Translation

no code implementations ACL 2020 Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Liang Huang

Simultaneous translation has many important application scenarios and attracts much attention from both academia and industry recently.

Translation

Simultaneous Translation Policies: From Fixed to Adaptive

no code implementations ACL 2020 Baigong Zheng, Kaibo Liu, Renjie Zheng, Mingbo Ma, Hairong Liu, Liang Huang

Adaptive policies are better than fixed policies for simultaneous translation, since they can flexibly balance the tradeoff between translation quality and latency based on the current context information.

Sentence Translation

Speculative Beam Search for Simultaneous Translation

no code implementations IJCNLP 2019 Renjie Zheng, Mingbo Ma, Baigong Zheng, Liang Huang

Beam search is universally used in full-sentence translation but its application to simultaneous translation remains non-trivial, where output words are committed on the fly.

Language Modelling Sentence +1

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