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Reports for Advancing South African Sign Language for 4IR Technological Development Using Place Names

Domain:

natural language processing

Record type:

softwaredataset
Creator:
HerChrPatSar
Host:avatar

Advancing South African Sign Language for 4IR Technological Development Using Placenames funded project by the Department of Sport, Arts, and Culture through the University of the Free State from April 2022 - June 2025. This project produced several research outputs and empowered an understanding of South African Sign Language technology advances.

This research is funded by the Department of Sport, Arts and Culture (South Africa) and conducted in collaboration with the Department of South African Sign Language and Deaf Studies (University of the Free State, South Africa). If the publication uses the data provided by the NID in any way: and with the support of the National Institute for the Deaf (South Africa). The following people made notable contributions to the project: Herkulaas Combrink, Chrismi Loth, Patrick Sibanda, Sara Siyavoshi, Nkateko Nkuna, Priscilla Keche, Taylon Colbert, Aviwe Matoti, Jarryd Trip, Valusha Oelofse and Molemo Dibe, Jani de Lange, Annalene van Staden, Emily Matabane, Susan Lombaard, Theodorus du Plessis, Donovan Wright, Lucia Mamotete Mapeshoane, Kirsten de Villiers, Gloria Motshoeneng, Nhlanhla Simelane, Anele Kotoyi and Annemarie le Roux.

Visit

figshare.com

Languages

South African Sign LanguageTsonga

Tags

Machine learningSouth African Sign LanguageComputational linguisticsMachine learningSouth African Sign Language (SASL)Artificial intelligenceDeep learningSigh language annotationSign language ethicsData ethics for the Deaf+1

Licenses

CC BY-NC-SA 4.0

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Training data for Human language technology