ASSESSING THE LIMITS OF AI-BASED TRANSLATION: A COSERIAN PERSPECTIVE
ASSESSING THE LIMITS OF AI-BASED TRANSLATION: A COSERIAN PERSPECTIVE

Summary/Abstract: Assessing the Limits of AI-Based Translation: A Coserian Perspective. The purpose of this paper is to analyse the way in which AI-based conversational assistants such as ChatGPT, designed to be suitable for use in the field of translation, deal with a translation problem described and analyzed by Eugenio Coseriu in his study Alcances y límites de la traducción (1997). Based on the theoretical framework established by Eugenio Coseriu, who defines translation as: “...a particular type of speech: it is speech with a given content, through another language” (Coseriu 1997, 168), the main objective of our research is to review the “limits” of translation from Eugenio Coseriu’s perspective in order to analyse the degree to which generative artificial intelligence deals with translation difficulties, compared to human translators. To this end, we aim to investigate which translation strategies are used for the linguistic transfer of comics by generative AI. We are particularly interested in observing whether the limits of translation stated by Coseriu correlate with the limits of AI-based translation.

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