TRANSLATING LAW: A COMPARISON OF HUMAN AND POST-EDITED TRANSLATIONS FROM GREEK TO ENGLISH

Advances in neural machine translation (NMT) models have led to reported improvements in machine translation (MT) outputs, especially for resource-rich language pairs (Deng & Liu, 2018), mainly at the level of fluency (Castilho et al., 2017a, 2017b). NMT systems have been used particularly for t...

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Bibliographic Details

Published in:	Revista de llengua i dret no. 78; p. 92
Main Authors:	Sosoni, Vilelmini, O'Shea, John, Stasimioti, Maria
Format:	Journal Article
Language:	English
Published:	Barcelona Escola d'Administracio Publica de Catalunya 01-12-2022
Subjects:	English language Fluency Greek language Language typology Legal language Machine translation Translations Translators
Online Access:	Get full text
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