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Closing the Gap in Non-Latin-Script Data: Pragmatic Approaches for Increasing Awareness

Authors: Beers, Theodore; Kudela, Xenia Monika; Müller-Laackman, Jonas;

Closing the Gap in Non-Latin-Script Data: Pragmatic Approaches for Increasing Awareness

Abstract

Multilingual and multi-script research in the Digital Humanities is still located at the margins of the field. Most projects are either focused on Latin-script materials, or need to rely on Latin-script-based solutions. As a result, it is often necessary for DH researchers to build individual workarounds to mitigate the lack of support for non-Latin scripts. There is a severe lack of visibility and topic-related networks, and often no proper support group, for DH practitioners working with NLS materials. Thus, Multilingual Digital Humanities topics remain marginalized, to the point that even projects active in the field have no comprehensive perspective on the field. The purpose of the project "Closing the Gap in Non-Latin Script Data" is to intervene here to improve the visibility of research relating to non-Latin scripts in the Digital Humanities, particularly in Germany, and to enhance collaboration among projects dealing with Arabic and similar languages.

Keywords

Paper, Mehrsprachigkeit, Mehrschriftlichkeit, Community-Bildung, Vortrag, Multilingual DH, Infrastruktur, Non-Latin Scripts, DHd2024, Kollaboration, Daten

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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
Green