@inproceedings{simons-etal-2022-assessing,
title = "Assessing Digital Language Support on a Global Scale",
author = "Simons, Gary F. and
Thomas, Abbey L. L. and
White, Chad K. K.",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.379",
pages = "4299--4305",
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.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="simons-etal-2022-assessing">
<titleInfo>
<title>Assessing Digital Language Support on a Global Scale</title>
</titleInfo>
<name type="personal">
<namePart type="given">Gary</namePart>
<namePart type="given">F</namePart>
<namePart type="family">Simons</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Abbey</namePart>
<namePart type="given">L</namePart>
<namePart type="given">L</namePart>
<namePart type="family">Thomas</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Chad</namePart>
<namePart type="given">K</namePart>
<namePart type="given">K</namePart>
<namePart type="family">White</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2022-10</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 29th International Conference on Computational Linguistics</title>
</titleInfo>
<originInfo>
<publisher>International Committee on Computational Linguistics</publisher>
<place>
<placeTerm type="text">Gyeongju, Republic of Korea</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<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.</abstract>
<identifier type="citekey">simons-etal-2022-assessing</identifier>
<location>
<url>https://aclanthology.org/2022.coling-1.379</url>
</location>
<part>
<date>2022-10</date>
<extent unit="page">
<start>4299</start>
<end>4305</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Assessing Digital Language Support on a Global Scale
%A Simons, Gary F.
%A Thomas, Abbey L. L.
%A White, Chad K. K.
%S Proceedings of the 29th International Conference on Computational Linguistics
%D 2022
%8 October
%I International Committee on Computational Linguistics
%C Gyeongju, Republic of Korea
%F simons-etal-2022-assessing
%X 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.
%U https://aclanthology.org/2022.coling-1.379
%P 4299-4305
Markdown (Informal)
[Assessing Digital Language Support on a Global Scale](https://aclanthology.org/2022.coling-1.379) (Simons et al., COLING 2022)
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.