| Residential College | false |
| Status | 已發表Published |
| ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation | |
Zhaocong Li1 ; Xuebo Liu2; Derek F. Wong1  ; Lidia S. Chao1; Min Zhang2
| |
| 2022-12-07 | |
| Conference Name | The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) |
| Source Publication | The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)
 |
| Conference Date | 2022-12-07 |
| Conference Place | Online |
| Document Type | Conference paper |
| Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
| Corresponding Author | Derek F. Wong |
| Affiliation | 1.NLP2CT Lab, Department of Computer and Information Science, University of Macau 2.Institute of Computing and Intelligence, Harbin Institute of Technology |
| First Author Affilication | University of Macau |
| Corresponding Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | Zhaocong Li,Xuebo Liu,Derek F. Wong,et al. ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation[C], 2022. |
| APA | Zhaocong Li., Xuebo Liu., Derek F. Wong., Lidia S. Chao., & Min Zhang (2022). ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment