Can AI save endangered languages? Learning theories, language and AI

12 July 2021, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

We are now in the age of information and artificial intelligence. All the data we need is available in the palm of our hands. Mobile applications like Babbel and Duolingo lower the barriers to entry when it comes to learning a new language. So why is language learning still so difficult? Haven't the plethora of philosophical thought experiments, cognitive theories and neuroscience research combined with the scale and reach of modern technology enabled us to make language learning as easy and intuitive as playing a video game? Can we not use this technology to then increase the number of speakers for endangered languages? In this talk, I will walk through a brief history of learning that will shed some light on not only the question of whether artificial intelligence can save endangered languages, but also whether it can play a role in making language learning less difficult.

Keywords

language learning
edtech
AI
language sciences

Supplementary weblinks

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