no code implementations • NAACL (AutoSimTrans) 2021 • Ruiqing Zhang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Haifeng Wang
This paper presents the results of the shared task of the 2nd Workshop on Automatic Simultaneous Translation (AutoSimTrans).
no code implementations • EMNLP 2020 • Ruiqing Zhang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Haifeng Wang
The policy learns to segment the source text by considering possible translations produced by the translation model, maintaining consistency between the segmentation and translation.
no code implementations • NAACL (AutoSimTrans) 2022 • Ruiqing Zhang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Haifeng Wang, Liang Huang, Qun Liu, Julia Ive, Wolfgang Macherey
This paper reports the results of the shared task we hosted on the Third Workshop of Automatic Simultaneous Translation (AutoSimTrans).
no code implementations • NAACL (AutoSimTrans) 2021 • Ruiqing Zhang, Xiyang Wang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Zhi Li, Haifeng Wang, Ying Chen, Qinfei Li
This corpus is expected to promote the research of automatic simultaneous translation as well as the development of practical systems.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • WS 2020 • Ruiqing Zhang, Chuanqiang Zhang
Simultaneous Translation is a great challenge in which translation starts before the source sentence finished.
no code implementations • 30 Jul 2019 • Hao Xiong, Ruiqing Zhang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Haifeng Wang
In this paper, we present DuTongChuan, a novel context-aware translation model for simultaneous interpreting.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
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.