Assessing Digital Language Support on a Global Scale

Gary F. Simons, Abbey L. L. Thomas, Chad K. K. White


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.
Anthology ID:
2022.coling-1.379
Volume:
Proceedings of the 29th International Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
4299–4305
Language:
URL:
https://aclanthology.org/2022.coling-1.379
DOI:
Bibkey:
Cite (ACL):
Gary F. Simons, Abbey L. L. Thomas, and Chad K. K. White. 2022. Assessing Digital Language Support on a Global Scale. In Proceedings of the 29th International Conference on Computational Linguistics, pages 4299–4305, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):
Assessing Digital Language Support on a Global Scale (Simons et al., COLING 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.coling-1.379.pdf
Code
 sil-ai/dls-results