2022
COLING
COLING 2022
Assessing Digital Language Support on a Global Scale
Abstract
AbstractThe 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.
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Interdisciplinary Bridge
- Artificial Intelligence and Data Science & Analytics and Interdisciplinary and Natural Language Processing
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Hot Topic Early Bird
- endangered language
Authors
Topics
Machine Learning > Application Areas > Domain Adaptation
Natural Language Processing > Applications > Information Retrieval
Natural Language Processing > Resources & Methods > Multilingual NLP
Interdisciplinary > Linguistics
Interdisciplinary > Linguistics > Computational Linguistics
Machine Learning > Core Methods > Feature Selection
Machine Learning > Optimization & Theory > Statistics
Data Science & Analytics > Applications > Information Retrieval