RT Journal Article
T1 Assessing neural machine translation of court documents: A case study on the translation of a Spanish remand order into English
A1 Vigier-Moreno, Francisco Javier
A1 Pérez Macías, Lorena
K1 Neural machine translation
K1 Legal translation
K1 Court documents
K1 Remand order
AB The court translation sector is showing considerable growth in demand due to the increasing number of proceedings involving people who do not speak the language used by the authorities, and particularly across the European Union (EU) since the passing of recent legislation that has enshrined the right to translation of essential documents in criminal proceedings (Brannan, 2017). For the translation of legal texts, machine translation (MT) is not viewed with optimism due to its disregard for the purpose and recipient of the translation (e.g., Wiesmann, 2019; Roiss, 2021), despite its potential for saving time and the benefits it offers at the terminological and phraseological levels (Killman, 2014) or at the level of syntax (e.g., Heiss & Soffritti, 2018; Mileto, 2019; Wrede et al., 2020). The aim of this article is to discuss whether translators can benefit from MT when engaging in the challenging yet highly in-demand activity of court translation. This article assesses the quality of English translations of a Spanish remand order produced by three different neural machine translation (NMT) systems (DeepL, eTranslation, and Google Translate), using TAUS evaluation guidelines.
PB Generalitat de Catalunya
YR 2022
FD 2022
LK https://hdl.handle.net/10433/24965
UL https://hdl.handle.net/10433/24965
LA en
NO Vigier-Moreno, F. J., & Pérez-Macías, L. (2022). Avaluació de la traducció automàtica neuronal de documents judicials: estudi de cas de la traducció d’una ordre de detenció preventiva de l’espanyol a l’anglès. Revista De Llengua I Dret, (78), 73–91
NO Escola de Administració Pública de Catalunya
DS RIO
RD Apr 17, 2026