Listar MonTi_ 2024 _núm 16 por autoría "2dd6d16f-e062-4c13-8fe0-8bbb5826be1a"
Mostrando ítems 1-1 de 1
-
Large language models "ad referendum": How good are they at machine translation in the legal domain?
Briva-Iglesias, Vicent; Cavalheiro Camargo, João Lucas; Doğru, Gökhan Universitat d'Alacant (2024)This study evaluates the machine translation (MT) quality of two state-of-the-art large language models (LLMs) against a traditional neural machine translation (NMT) system across four language pairs in the legal domain. ...