Listar MonTi_ 2024 _núm 16 por autoría "73aa3ab5-42e3-49a1-9742-80ef21ed893e"
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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. ...