Revitalizing Endangered Languages: AI-powered language learning as a catalyst for language appreciation

TL;DR

This paper discusses how AI-powered language learning tools can serve as a catalyst for preserving endangered languages by fostering early exposure and appreciation, thus helping to maintain linguistic and cultural diversity.

Contribution

It introduces a novel perspective on using AI-based approaches to promote language preservation and cultural appreciation for endangered languages.

Findings

AI tools increase early exposure to endangered languages

Language appreciation correlates with preservation efforts

AI-driven learning can slow language extinction rates

Abstract

According to UNESCO, there are nearly 7,000 languages spoken worldwide, of which around 3,000 languages are in danger of disappearing before the end of the century. With roughly 230 languages having already become extinct between the years 1950-2010, collectively this represents a significant loss of linguistic and cultural diversity. This position paper aims to explore the potential of AI-based language learning approaches that promote early exposure and appreciation of languages to ultimately contribute to the preservation of endangered languages, thereby addressing the urgent need to protect linguistic and cultural diversity.