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
- Editors:
- Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 4299–4305
- Language:
- URL:
- https://aclanthology.org/2022.coling-1.379
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/emnlp22-frontmatter/2022.coling-1.379.pdf
- Code
- sil-ai/dls-results