no code implementations • 22 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.
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.
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.
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.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Mingbo Ma, Baigong Zheng, Kaibo Liu, Renjie Zheng, Hairong Liu, Kainan Peng, Kenneth Church, Liang Huang
Text-to-speech synthesis (TTS) has witnessed rapid progress in recent years, where neural methods became capable of producing audios with high naturalness.
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.
no code implementations • IJCNLP 2019 • Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang
Simultaneous translation is widely useful but remains challenging.
no code implementations • WS 2019 • Renjie Zheng, Hairong Liu, Mingbo Ma, Baigong Zheng, Liang Huang
To make it worse, the amount of social media parallel corpora is extremely limited.
no code implementations • ACL 2019 • Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang
Simultaneous translation is widely useful but remains one of the most difficult tasks in NLP.
3 code implementations • ACL 2019 • Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu, Haifeng Wang
Simultaneous translation, which translates sentences before they are finished, is useful in many scenarios but is notoriously difficult due to word-order differences.