The "Mavito: South African Terminology, Lexicon, and Glossary Project" is dedicated to the comprehensive collection, meticulous cleaning, and transformative processing of South African language terminology lists, lexicons, and glossaries. This initiative is an integral part of the broader mission of the Data Science for Social Impact (DSFSI) lab/group, which aims to liberate and openly share as many language resources as possible. The quality and accuracy of each resource are maintained by the original authors, ensuring the integrity and authenticity of the linguistic data. For any questions or clarifications regarding the content, users are encouraged to directly contact the original authors. By making these linguistic assets readily accessible, the project seeks to enhance language preservation, support linguistic research, and foster educational opportunities across South Africa's diverse linguistic landscape.
| Database | Description | Documentation | CSV | JSON | TBX | xlsx |
|---|---|---|---|---|---|---|
| OERTB | Open Resource Term Bank (OERTB) project is to support the collaborative development and dissemination of terminological resources, and thereby promoting the use of African languages in teaching and learning at higher education institutions. | TBD | data/oertb/oertb-full.csv, view on datasette |
data/oertb/oertb-termbank-IATE.json, view on datasette |
data/oertb/oertb-termbank-IATE.tbx | |
| StatsSA | The Multilingual Statistical Terminology Project by Stats SA develops statistical terminology in South Africa's 11 official languages to enhance access to vital data for all citizens, ensuring a deeper understanding and connection to the information that affects their lives. | TBD | data/statssa/multilingual_statistical _terminology_clean.csv, view on datasette |
data/statssa/multilingual_statistical _terminology_clean.json,view on datasette |
data/statssa/multilingual_statistical_ terminology_clean.xlsx |
@dataset{dsfsi-mavito,
date = {2023},
title = {Mavito: South African Terminology, Lexicon and Glossary Project},
url = {https://github.com/dsfsi/za-mavito/},
author = {Vukosi Marivate and Fiskani Banda and Richard Lastrucci and Matome Ledwaba and Keabetswe Madumo and Mohlatlego Nakeng and Kayode Olalaye and Thapelo Sindane and DSFSI}
}