您当前的位置:
首页 >
文章列表页 >
Research on self-training neural machine translation based on monolingual priority sampling
Papers | 更新时间:2024-06-12
    • Research on self-training neural machine translation based on monolingual priority sampling

    • Journal on Communications   Vol. 45, Issue 4, Pages: 65-72(2024)
    • DOI:10.11959/j.issn.1000-436x.2024066    

      CLC: TP391
    • Received:18 January 2024

      Revised:2024-03-11

      Published:30 April 2024

    移动端阅览

  • ZHANG Xiaoyan, PANG Lei, DU Xiaofeng, et al. Research on self-training neural machine translation based on monolingual priority sampling[J]. Journal on Communications, 2024, 45(4): 65-72. DOI: 10.11959/j.issn.1000-436x.2024066.

  •  
  •  

0

Views

954

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

RL-WGAN based method for 5G network anomalous data generation
Few-shot cybersecurity event detection method by data augmentation with prompting question answering
Fault diagnosis method of timing signal based on Nadam-TimeGAN and XGBoost
Radio frequency fingerprint data augmentation for indoor localization based on diffusion model
Data augmentation scheme for federated learning with non-IID data

Related Author

Xiong Xuanrui
Ouyang Ruiqi
Zhou Li
Zou Daoyuan
Ning Zhaolong
ZHANG Bowen
CHEN Qingli
BAI Qingchun

Related Institution

College of Electronic Science and Technology, National University of Defense Technology
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications
Zhengzhou Inspur Data Technology Co., Ltd.
Shanghai Open Distance Education Engineering Technology Research Center, Shanghai Open University
School of Cyberspace Security, Zhengzhou University
0