Abstract
This paper first traces the AI-induced automation of the digitalised and datafied language industry, with a focus on neural machine translation and large language models. Then, it discusses a range of digital literacies that have become increasingly relevant in the language industry in light of these technologies, i.e., machine translation literacy, data literacy and artificial intelligence literacy. After highlighting the interface between these three literacies, the paper sketches an outline of an artificial intelligence literacy framework for translation, interpreting and specialised communication. This framework intends to capture an extensive set of competences required by stakeholders in the AI-saturated language industry.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
