AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

The Ghost in the Translation Machine: Charting Language Proficiency, Exploring Technology, and Making Translators Fit for a Digital Age

CORDIS · observation · Publication date unknown

he other hand. LinguaTech is the first in-depth study that produces and combines on new findings on additional language (AL) competence at the highest levels, alongside neural machine translation and Generative AI post-editing competences, and applies these to translator training. It will result in a definition and measure (descriptors) of the AL competence of translators that will be supplemented with insight into the linguistic demands of machine translation post-editing and selected Generative AI models. They will feed into the ultimate deliverable, the LinguaTech Toolbox, complete with descriptors, guidelines (how to teach AL to translators in the AI age), tools (linguistic match-up marker), and a short online training course on technology-enabled AL teaching. AL teaching, streamlined with the demands of newest technology, will give translation students a competitive advantage upon their entry on the EU language market in terms of expertise, cost, quality, technology, and adaptability to innovation, while at the same time it will provide a better skilled workforce for the quickly

Read original source ↗ Open in workspace

recordType
award
status
SIGNED
region
EU
value
199440.96
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.