The HW-TSC Video Speech Translation System at IWSLT 2020
Minghan Wang, Hao Yang, Yao Deng, Ying Qin, Lizhi Lei, Daimeng Wei, Hengchao Shang, Ning Xie, Xiaochun Li, Jiaxian Guo
Abstract
The paper presents details of our system in the IWSLT Video Speech Translation evaluation. The system works in a cascade form, which contains three modules: 1) A proprietary ASR system. 2) A disfluency correction system aims to remove interregnums or other disfluent expressions with a fine-tuned BERT and a series of rule-based algorithms. 3) An NMT System based on the Transformer and trained with massive publicly available corpus.- Anthology ID:
- 2020.iwslt-1.23
- Volume:
- Proceedings of the 17th International Conference on Spoken Language Translation
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Editors:
- Marcello Federico, Alex Waibel, Kevin Knight, Satoshi Nakamura, Hermann Ney, Jan Niehues, Sebastian Stüker, Dekai Wu, Joseph Mariani, Francois Yvon
- Venue:
- IWSLT
- SIG:
- SIGSLT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 187–190
- Language:
- URL:
- https://aclanthology.org/2020.iwslt-1.23
- DOI:
- 10.18653/v1/2020.iwslt-1.23
- Cite (ACL):
- Minghan Wang, Hao Yang, Yao Deng, Ying Qin, Lizhi Lei, Daimeng Wei, Hengchao Shang, Ning Xie, Xiaochun Li, and Jiaxian Guo. 2020. The HW-TSC Video Speech Translation System at IWSLT 2020. In Proceedings of the 17th International Conference on Spoken Language Translation, pages 187–190, Online. Association for Computational Linguistics.
- Cite (Informal):
- The HW-TSC Video Speech Translation System at IWSLT 2020 (Wang et al., IWSLT 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.iwslt-1.23.pdf