RT Conference Proceedings
T1 All you wished DeepL could do : Post-editing (PE) as a Fundamental Competence in Translators Training
A1 Varela-Salinas, María José
A1 Mihalache, Iulia
K1 Aprendizaje automático (Inteligencia artificial)
K1 Traducción automática
AB In recent years, neural machine translation systems have achieved a quite reasonable quality of their output, depending on certain factors. As a trainer, we decided to use the post-editing process of machine translated texts as oportunity for didactics. Focusing on machine translation errors can be used as a way to improve command of both the mother tongue and the second language. This presentation delves into direct translation (DE–ES) of general economic texts published by general print media.The final aims are: -	to identify and classify error tendencies -	to transfer this knowledge to the students so they can improve their command of mother (active) and work language (passive)-	to enhance translation quality and performance and, as a result, to achieve higher academic grades
YR 2023
FD 2023-03-31
LK https://hdl.handle.net/10630/26254
UL https://hdl.handle.net/10630/26254
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 mar 2026