Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems

Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems Eleftherios Avramidis author Shushen Manakhimova author Vivien Macketanz author Sebastian Möller author 2024-11 text Proceedings of the Ninth Conference on Machine Translation Barry Haddow editor Tom Kocmi editor Philipp Koehn editor Christof Monz editor Association for Computational Linguistics Miami, Florida, USA conference publication avramidis-etal-2024-machine 10.18653/v1/2024.wmt-1.37 https://aclanthology.org/2024.wmt-1.37/ 2024-11 517 528