Susan Currie Sivek

Data science writer, researcher, hiker, knitter. Former journalism professor. Curious about everything.

Nov 20, 2021
Published on: Towards Data Science
1 min read

Vukosi Marivate, Ph.D., chair of data science at the University of Pretoria, talks about the advancement of data science practice and education in Africa, especially around low-resource languages and NLP.

· 4 min read

Photo by on Unsplash

Vukosi Marivate, Ph.D., chair of data science at the University of Pretoria, brought his insights and experience to an episode of the Data Science Mixer podcast for a conversation about the status and growth of data science in Africa, as well as some fascinating collaborations around building natural language processing approaches for low-resource languages. He tells us about the Masakhane collaboration and the development of its open-source Python projects, and addresses how the lack of NLP efforts for low-resource languages is not just a data problem, but also a societal problem.

Here are three “principal components” of what Vukosi shared.