Abstract
端到端语音翻译将源语言语音直接翻译为目标语言文本,它需要“源语言语音-目标语言文本”作为训练数据,然而这类数据极其稀缺,本文提出了一种多层次预训练策略和多任务学习相结合的训练方法,首先分别对语音识别和机器翻译模型的各个模块进行多层次预训练,接着将语音识别和机器翻译模型连接起来构成语音翻译模型,然后使用迁移学习对预训练好的模型进行多步骤微调,在此过程中又运用多任务学习的方法,将语音识别作为语音翻译的一个辅助任务来组织训练,充分利用了已经存在的各种不同形式的数据来训练端到端模型,首次将端到端技术应用于资源受限条件下的蒙汉语音翻译,构建了首个翻译质量较高、实际可用的端到端蒙汉语音翻译系统。- Anthology ID:
- 2021.ccl-1.15
- Volume:
- Proceedings of the 20th Chinese National Conference on Computational Linguistics
- Month:
- August
- Year:
- 2021
- Address:
- Huhhot, China
- Editors:
- Sheng Li (李生), Maosong Sun (孙茂松), Yang Liu (刘洋), Hua Wu (吴华), Kang Liu (刘康), Wanxiang Che (车万翔), Shizhu He (何世柱), Gaoqi Rao (饶高琦)
- Venue:
- CCL
- SIG:
- Publisher:
- Chinese Information Processing Society of China
- Note:
- Pages:
- 156–165
- Language:
- Chinese
- URL:
- https://aclanthology.org/2021.ccl-1.15
- DOI:
- Cite (ACL):
- Ningning Wang, Long Fei, and Hui Zhang. 2021. 基于多层次预训练策略和多任务学习的端到端蒙汉语音翻译(End-to-end Mongolian-Chinese Speech Translation Based on Multi-level Pre-training Strategies and Multi-task Learning). In Proceedings of the 20th Chinese National Conference on Computational Linguistics, pages 156–165, Huhhot, China. Chinese Information Processing Society of China.
- Cite (Informal):
- 基于多层次预训练策略和多任务学习的端到端蒙汉语音翻译(End-to-end Mongolian-Chinese Speech Translation Based on Multi-level Pre-training Strategies and Multi-task Learning) (Wang et al., CCL 2021)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2021.ccl-1.15.pdf