Fixing Rogue Memorization in Many-to-One Multilingual Translators of Extremely-Low-Resource Languages by Rephrasing Training Samples

Fixing Rogue Memorization in Many-to-One Multilingual Translators of Extremely-Low-Resource Languages by Rephrasing Training Samples Paulo Cavalin author Pedro Henrique Domingues author Claudio Pinhanez author Julio Nogima author 2024-06 text Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) Kevin Duh editor Helena Gomez editor Steven Bethard editor Association for Computational Linguistics Mexico City, Mexico conference publication cavalin-etal-2024-fixing 10.18653/v1/2024.naacl-long.253 https://aclanthology.org/2024.naacl-long.253/ 2024-06 4503 4514