How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation - researchr publication authors

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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]

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