Yan Meng, Di Wu, Christof Monz. How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation. In Luis Chiruzzo, Alan Ritter, Lu Wang, editors, Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29 - May 4, 2025. pages 7451-7467, Association for Computational Linguistics, 2025. [doi]
@inproceedings{MengWM25,
title = {How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation},
author = {Yan Meng and Di Wu and Christof Monz},
year = {2025},
url = {https://aclanthology.org/2025.findings-naacl.416/},
researchr = {https://researchr.org/publication/MengWM25},
cites = {0},
citedby = {0},
pages = {7451-7467},
booktitle = {Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29 - May 4, 2025},
editor = {Luis Chiruzzo and Alan Ritter and Lu Wang},
publisher = {Association for Computational Linguistics},
isbn = {979-8-89176-195-7},
}