MACHINE TRANSLATION POST-EDITING COMPETENCE IN THE AGE OF GENERATIVE AI: A CORPUS-BASED INVESTIGATION OF STUDENT TRANSLATORS' SKILLS
The main aim of the article is to investigate how translation students interact with AI-generated translations and examines the relationship between AI literacy and post-editing performance. Using a corpus-based mixed-methods approach, the study compares human translation, neural machine translation post-editing, and g...