L'intelligenza artificiale per la traduzione: orizzonti, pratiche e percorsi formativi

Abstract

The present paper functions as an introduction to this special issue of mediAzioni, which brings together selected papers presented at the Translating Europe Workshop entitled "L'intelligenza artificiale per la traduzione verso una nuova progettazione didattica?" (3 December 2021), focusing on the pedagogical implications of Artificial Intelligence (AI), with a particular emphasis on Neural Machine Translation (NMT). The article revolves around three main themes. First, it considers the impact of emerging neural technologies on language services, redefining the traditional role of the translator and creating new responsibilities and tasks. Despite the considerable progress that NMT has made compared to previous models, it still has shortcomings that are almost "invisible" because they often lack clear grammatical or morphosyntactic marking. Such errors require a certain cognitive effort to identify, since they involve problems that are less obvious to the untrained eye, such as textuality or inadequacies at the level of discourse. Secondly, the article looks more closely at professional practices, especially those related to pre-editing, post-editing and proofreading. Particular emphasis is placed on the indispensable role of the human in translation workflows that integrate NMT not only at the level of post-editing and text revision, but also at the level of translation project management. Finally, the paper moves on to the implications of NMT for the training of translators and beyond, discussing key insights from the workshop participants regarding future teaching practices at university level. The article concludes by outlining the structure of this special issue and providing a brief synopsis of the collected papers.