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

Descrizione del progetto

Innovazioni nella formazione dei traduttori

Tutte le comunicazioni dell’UE devono essere diffuse in più lingue; inoltre, l’aumento dei contenuti digitali e delle interazioni transfrontaliere mette in evidenza la necessità di servizi di traduzione efficienti. Ciononostante, i metodi tradizionali faticano a tenere il passo con il volume e la complessità delle richieste linguistiche moderne. La visione della Commissione europea di un’Europa esperta in ambito digitale amplifica ulteriormente l’urgenza di soluzioni innovative nel campo della formazione linguistica e delle tecnologie di traduzione. Sostenuto dal programma di azioni Marie Skłodowska-Curie, il progetto LinguaTech introduce uno studio completo volto a ridefinire la formazione dei traduttori integrando competenze linguistiche avanzate con tecnologie quali la traduzione automatica neurale e il post-editing basato sull’intelligenza artificiale. LinguaTech fornirà ai traduttori le competenze necessarie per prosperare in un settore linguistico in rapida evoluzione, rafforzando il vantaggio competitivo dell’Europa a livello globale.

Obiettivo

The EU’s commitment to support its multilingual character, the European Commission’s priority of creating ‘a Europe fit for the Digital Age’ and the raising EU and global demand for translation services, as evidenced, e.g. by the latest European translation industry ELIS reports (2013-2021), entails research and investment in language training on the one hand, and the provision of high-quality translation services that seize the opportunities offered by the latest technologies on the 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 growing language industry and institutional language departments. Additionally, the insight generated by LinguaTech and its dissemination and exploitation will benefit experienced translators, who frequently face insecurity towards technology. The research will be supported by a secondment at RWS, who are major player on the global and European translation market, and will be available open source.