| Autor: |
Hengchao Shang, Yao Deng, Daimeng Wei, Xiaochun Li, Jiaxian Guo, Ying Qin, Hao Yang, Ning Xie, Minghan Wang, Lizhi Lei |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
IWSLT |
| DOI: |
10.18653/v1/2020.iwslt-1.23 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
