Findings of the Second Workshop on Automatic Simultaneous Translation

Ruiqing Zhang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Haifeng Wang


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.
Anthology ID:
2021.autosimtrans-1.6
Volume:
Proceedings of the Second Workshop on Automatic Simultaneous Translation
Month:
June
Year:
2021
Address:
Online
Editors:
Hua Wu, Colin Cherry, Liang Huang, Zhongjun He, Qun Liu, Maha Elbayad, Mark Liberman, Haifeng Wang, Mingbo Ma, Ruiqing Zhang
Venue:
AutoSimTrans
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
36–44
Language:
URL:
https://aclanthology.org/2021.autosimtrans-1.6
DOI:
10.18653/v1/2021.autosimtrans-1.6
Bibkey:
Cite (ACL):
Ruiqing Zhang, Chuanqiang Zhang, Zhongjun He, Hua Wu, and Haifeng Wang. 2021. Findings of the Second Workshop on Automatic Simultaneous Translation. In Proceedings of the Second Workshop on Automatic Simultaneous Translation, pages 36–44, Online. Association for Computational Linguistics.
Cite (Informal):
Findings of the Second Workshop on Automatic Simultaneous Translation (Zhang et al., AutoSimTrans 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.autosimtrans-1.6.pdf
Data
BSTCCoVoST