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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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DIGITAL PRESERVATION OF MINORITY LANGUAGES

Authors: Islamli L.;

DIGITAL PRESERVATION OF MINORITY LANGUAGES

Abstract

This study examines the role of digital technologies in the documentation, preservation, and revitalization of minority languages. With approximately 40% of the world’s languages facing extinction, traditional preservation methods often struggle with resource limitations and accessibility. Utilizing both qualitative and comparative research methodologies, this research analyzes a range of digital tools and platforms, such as mobile applications, AI-driven language models, and online archives, across various linguistic contexts. Findings highlight that while digital technologies offer significant potential for language revitalization, their effectiveness is contingent upon active community engagement, cultural relevance, and ethical data management practices. The study argues that while digital solutions alone cannot halt language loss, they can play a critical role in preserving linguistic diversity when integrated into community-centered and culturally informed frameworks.

Keywords

digital preservation, minority languages, language revitalization, linguistic diversity, digital tools, indigenous language technologies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average