@inproceedings{chen-etal-2021-system,
title = "System Description on Automatic Simultaneous Translation Workshop",
author = "Chen, Linjie and
Wang, Jianzong and
Huang, Zhangcheng and
Ding, Xiongbin and
Xiao, Jing",
editor = "Wu, Hua and
Cherry, Colin and
Huang, Liang and
He, Zhongjun and
Liu, Qun and
Elbayad, Maha and
Liberman, Mark and
Wang, Haifeng and
Ma, Mingbo and
Zhang, Ruiqing",
booktitle = "Proceedings of the Second Workshop on Automatic Simultaneous Translation",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.autosimtrans-1.4",
doi = "10.18653/v1/2021.autosimtrans-1.4",
pages = "24--27",
abstract = "This paper shows our submission on the second automatic simultaneous translation workshop at NAACL2021. We participate in all the two directions of Chinese-to-English translation, Chinese audio$\rightarrow$English text and Chinese text$\rightarrow$English text. We do data filtering and model training techniques to get the best BLEU score and reduce the average lagging. We propose a two-stage simultaneous translation pipeline system which is composed of Quartznet and BPE-based transformer. We propose a competitive simultaneous translation system and achieves a BLEU score of 24.39 in the audio input track.",
}
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<abstract>This paper shows our submission on the second automatic simultaneous translation workshop at NAACL2021. We participate in all the two directions of Chinese-to-English translation, Chinese audio\rightarrowEnglish text and Chinese text\rightarrowEnglish text. We do data filtering and model training techniques to get the best BLEU score and reduce the average lagging. We propose a two-stage simultaneous translation pipeline system which is composed of Quartznet and BPE-based transformer. We propose a competitive simultaneous translation system and achieves a BLEU score of 24.39 in the audio input track.</abstract>
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%0 Conference Proceedings
%T System Description on Automatic Simultaneous Translation Workshop
%A Chen, Linjie
%A Wang, Jianzong
%A Huang, Zhangcheng
%A Ding, Xiongbin
%A Xiao, Jing
%Y Wu, Hua
%Y Cherry, Colin
%Y Huang, Liang
%Y He, Zhongjun
%Y Liu, Qun
%Y Elbayad, Maha
%Y Liberman, Mark
%Y Wang, Haifeng
%Y Ma, Mingbo
%Y Zhang, Ruiqing
%S Proceedings of the Second Workshop on Automatic Simultaneous Translation
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F chen-etal-2021-system
%X This paper shows our submission on the second automatic simultaneous translation workshop at NAACL2021. We participate in all the two directions of Chinese-to-English translation, Chinese audio\rightarrowEnglish text and Chinese text\rightarrowEnglish text. We do data filtering and model training techniques to get the best BLEU score and reduce the average lagging. We propose a two-stage simultaneous translation pipeline system which is composed of Quartznet and BPE-based transformer. We propose a competitive simultaneous translation system and achieves a BLEU score of 24.39 in the audio input track.
%R 10.18653/v1/2021.autosimtrans-1.4
%U https://aclanthology.org/2021.autosimtrans-1.4
%U https://doi.org/10.18653/v1/2021.autosimtrans-1.4
%P 24-27
Markdown (Informal)
[System Description on Automatic Simultaneous Translation Workshop](https://aclanthology.org/2021.autosimtrans-1.4) (Chen et al., AutoSimTrans 2021)
ACL