@inproceedings{zhang-etal-2021-findings,
title = "Findings of the Second Workshop on Automatic Simultaneous Translation",
author = "Zhang, Ruiqing and
Zhang, Chuanqiang and
He, Zhongjun and
Wu, Hua and
Wang, Haifeng",
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-1.6",
doi = "10.18653/v1/2021.autosimtrans-1.6",
pages = "36--44",
abstract = "This paper presents the results of the shared task of the 2nd Workshop on Automatic Simultaneous Translation (AutoSimTrans). The task includes two tracks, one for text-to-text translation and one for speech-to-text, requiring participants to build systems to translate from either the source text or speech into the target text. Different from traditional machine translation, the AutoSimTrans shared task evaluates not only translation quality but also latency. We propose a metric {``}Monotonic Optimal Sequence{''} (MOS) considering both quality and latency to rank the submissions. We also discuss some important open issues in simultaneous translation.",
}
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%0 Conference Proceedings
%T Findings of the Second Workshop on Automatic Simultaneous Translation
%A Zhang, Ruiqing
%A Zhang, Chuanqiang
%A He, Zhongjun
%A Wu, Hua
%A Wang, Haifeng
%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 zhang-etal-2021-findings
%X This paper presents the results of the shared task of the 2nd Workshop on Automatic Simultaneous Translation (AutoSimTrans). The task includes two tracks, one for text-to-text translation and one for speech-to-text, requiring participants to build systems to translate from either the source text or speech into the target text. Different from traditional machine translation, the AutoSimTrans shared task evaluates not only translation quality but also latency. We propose a metric “Monotonic Optimal Sequence” (MOS) considering both quality and latency to rank the submissions. We also discuss some important open issues in simultaneous translation.
%R 10.18653/v1/2021.autosimtrans-1.6
%U https://aclanthology.org/2021.autosimtrans-1.6
%U https://doi.org/10.18653/v1/2021.autosimtrans-1.6
%P 36-44
Markdown (Informal)
[Findings of the Second Workshop on Automatic Simultaneous Translation](https://aclanthology.org/2021.autosimtrans-1.6) (Zhang et al., AutoSimTrans 2021)
ACL