O/A TRADUTOR/A EM FORMAÇÃO NO CONTEXTO DA PÓS-EDIÇÃO: INTERFERÊNCIAS TEXTUAIS E ESTRA TÉGIAS DE TRADUÇÃO

Abstract

T echnology has been transforming contemporary translation, especially with the use of tools based on artificial intelligence, such as Translation Memories and Machine Translation. Machine translation, after years of investment in systems based on rules, statistics and, more recently , the neural system, has been improving text quality , thus drawing attention to post-editing. Motivated by this context and aiming at investigating the relationship between translation trainees and post-editing, an activity with two pairs of students from the Federal University of Bahia (UFBA) was proposed for this research, to map and analyze the post-editing texts produced from a text translated by Google Translate. For this purpose, the methodological framework was based on Chesterman (2016), more specifically his classification of translation strategies, used in the study as a model to categorize the interferences proposed by the pairs, later analyzed with a focus on notions such as acceptance, autonomy , signature and translation appropriation. Keywords: Machine Translation. Post-Editing; Translation Strategies.