Year: 2022
Type: preprint
Abstract: The users of endangered languages struggle to thrive in a digitally-mediated world. We have developed an automated method for assessing how well every language recognized by ISO 639 is faring in terms of digital language support. The assessment is based on scraping the names of supported languages from the websites of 143 digital tools selected to represent a full range of ways that digital technology can support languages. The method uses Mokken scale analysis to produce an explainable model for quantifying digital language support and monitoring it on a global scale.
Source: arXiv (Cornell University)
Institutions: SIL Global, The University of Texas at Dallas
Language: English
Subfield: Linguistics and Language
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
Funder: Magyar Tudományos Akadémia
OpenAlex ID: W4297948140