BSTC: A Large-Scale Chinese-English Speech Translation Dataset

Ruiqing Zhang, Xiyang Wang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Zhi Li, Haifeng Wang, Ying Chen, Qinfei Li


Abstract
This paper presents BSTC (Baidu Speech Translation Corpus), a large-scale Chinese-English speech translation dataset. This dataset is constructed based on a collection of licensed videos of talks or lectures, including about 68 hours of Mandarin data, their manual transcripts and translations into English, as well as automated transcripts by an automatic speech recognition (ASR) model. We have further asked three experienced interpreters to simultaneously interpret the testing talks in a mock conference setting. This corpus is expected to promote the research of automatic simultaneous translation as well as the development of practical systems. We have organized simultaneous translation tasks and used this corpus to evaluate automatic simultaneous translation systems.
Anthology ID:
2021.autosimtrans-1.5
Volume:
Proceedings of the Second Workshop on Automatic Simultaneous Translation
Month:
June
Year:
2021
Address:
Online
Venue:
AutoSimTrans
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
28–35
Language:
URL:
https://aclanthology.org/2021.autosimtrans-1.5
DOI:
10.18653/v1/2021.autosimtrans-1.5
Bibkey:
Cite (ACL):
Ruiqing Zhang, Xiyang Wang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Zhi Li, Haifeng Wang, Ying Chen, and Qinfei Li. 2021. BSTC: A Large-Scale Chinese-English Speech Translation Dataset. In Proceedings of the Second Workshop on Automatic Simultaneous Translation, pages 28–35, Online. Association for Computational Linguistics.
Cite (Informal):
BSTC: A Large-Scale Chinese-English Speech Translation Dataset (Zhang et al., AutoSimTrans 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/emnlp-22-attachments/2021.autosimtrans-1.5.pdf
Data
BSTCCoVoSTEuroparl-STMuST-C