Machine Translation

1. Front Matter

   Pages i-xiv

   PDF

2. PEACook: Post-editing Advancement Cookbook

   • Shimin Tao, Jiaxing Guo, Yanqing Zhao, Min Zhang, Daimeng Wei, Minghan Wang et al.

   Pages 1-11

3. Hot-Start Transfer Learning Combined with Approximate Distillation for Mongolian-Chinese Neural Machine Translation

   • Pengcong Wang, Hongxu Hou, Shuo Sun, Nier Wu, Weichen Jian, Zongheng Yang et al.

   Pages 12-23

4. Review-Based Curriculum Learning for Neural Machine Translation

   • Ziyang Hui, Chong Feng, Tianfu Zhang

   Pages 24-36

5. Multi-strategy Enhanced Neural Machine Translation for Chinese Minority Languages

   • Zhanglin Wu, Daimeng Wei, Xiaoyu Chen, Ming Zhu, Zongyao Li, Hengchao Shang et al.

   Pages 37-44

6. Target-Side Language Model for Reference-Free Machine Translation Evaluation

   • Min Zhang, Xiaosong Qiao, Hao Yang, Shimin Tao, Yanqing Zhao, Yinlu Li et al.

   Pages 45-53

7. Life Is Short, Train It Less: Neural Machine Tibetan-Chinese Translation Based on mRASP and Dataset Enhancement

   • Hao Wang, Yongbin Yu, Nyima Tashi, Rinchen Dongrub, Ekong Favour, Mengwei Ai et al.

   Pages 54-59

8. Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples

   • Shuo Sun, Hongxu Hou, Nier Wu, Zongheng Yang, Yisong Wang, Pengcong Wang et al.

   Pages 60-71

9. Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation

   • Yisong Wang, Hongxu Hou, Shuo Sun, Nier Wu, Weichen Jian, Zongheng Yang et al.

   Pages 72-81

10. Dynamic Fusion Nearest Neighbor Machine Translation via Dempster-Shafer Theory

    • Zongheng Yang, Hongxu Hou, Shuo Sun, Nier Wu, Yisong Wang, Weichen Jian et al.

    Pages 82-92

11. A Multi-tasking and Multi-stage Chinese Minority Pre-trained Language Model

    • Bin Li, Yixuan Weng, Bin Sun, Shutao Li

    Pages 93-105

12. An Improved Multi-task Approach to Pre-trained Model Based MT Quality Estimation

    • Binhuan Yuan, Yueyang Li, Kehai Chen, Hao Lu, Muyun Yang, Hailong Cao

    Pages 106-116

13. Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation

    • Wenjie Hao, Hongfei Xu, Lingling Mu, Hongying Zan

    Pages 117-126

14. CCMT 2022 Translation Quality Estimation Task

    • Chang Su, Miaomiao Ma, Hao Yang, Shimin Tao, Jiaxin Guo, Minghan Wang et al.

    Pages 127-134

15. Effective Data Augmentation Methods for CCMT 2022

    • Jing Wang, Lina Yang

    Pages 135-142

16. NJUNLP’s Submission for CCMT 2022 Quality Estimation Task

    • Yu Zhang, Xiang Geng, Shujian Huang, Jiajun Chen

    Pages 143-150

17. ISTIC’s Thai-to-Chinese Neural Machine Translation System for CCMT’ 2022

    • Shuao Guo, Hangcheng Guo, Yanqing He, Tian Lan

    Pages 151-160

18. Back Matter

    Pages 161-161

    PDF

This book constitutes the refereed proceedings of the 18th China Conference on
Machine Translation, CCMT 2022, held in Lhasa, China, during August 6–10, 2022.


The 16 full papers were included in this book were carefully reviewed and selected from 73 submissions.

• artificial intelligence
• automata theory
• computational linguistics
• computer aided language translation
• correlation analysis
• databases
• information theory
• machine translations
• Natural Language Processing (NLP)
• natural languages
• signal processing
• speech analysis
• speech recognition
• statistical machine translation
• statistical methods
• theoretical computer science
• translation (languages)

• Northeastern University, Shenyang, China

  Tong Xiao

• Meta AI, San Francisco, USA

  Juan Pino

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