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
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.
