Findings of the Third Workshop on Automatic Simultaneous Translation
Ruiqing Zhang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Haifeng Wang, Liang Huang, Qun Liu, Julia Ive, Wolfgang Macherey
Abstract
This paper reports the results of the shared task we hosted on the Third Workshop of Automatic Simultaneous Translation (AutoSimTrans). The shared task aims to promote the development of text-to-text and speech-to-text simultaneous translation, and includes Chinese-English and English-Spanish tracks. The number of systems submitted this year has increased fourfold compared with last year. Additionally, the top 1 ranked system in the speech-to-text track is the first end-to-end submission we have received in the past three years, which has shown great potential. This paper reports the results and descriptions of the 14 participating teams, compares different evaluation metrics, and revisits the ranking method.- Anthology ID:
- 2022.autosimtrans-1.1
- Volume:
- Proceedings of the Third Workshop on Automatic Simultaneous Translation
- Month:
- July
- Year:
- 2022
- Address:
- Online
- Editors:
- Julia Ive, Ruiqing Zhang
- Venue:
- AutoSimTrans
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1–11
- Language:
- URL:
- https://aclanthology.org/2022.autosimtrans-1.1
- DOI:
- 10.18653/v1/2022.autosimtrans-1.1
- Cite (ACL):
- Ruiqing Zhang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Haifeng Wang, Liang Huang, Qun Liu, Julia Ive, and Wolfgang Macherey. 2022. Findings of the Third Workshop on Automatic Simultaneous Translation. In Proceedings of the Third Workshop on Automatic Simultaneous Translation, pages 1–11, Online. Association for Computational Linguistics.
- Cite (Informal):
- Findings of the Third Workshop on Automatic Simultaneous Translation (Zhang et al., AutoSimTrans 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2022.autosimtrans-1.1.pdf
- Data
- AISHELL-1, BSTC