Machine translation of public health information into low-resource languages

A research project starting in 2021 with funding from the University of Cambridge Global Challenges Research Fund (GCRF). We work to achieve machine translation of public health information into languages for which there are relatively scarce resources in natural language processing (NLP) terms. The project is motivated by the observation that during the COVID-19 pandemic, public health information from organisations such as the WHO are only available in a few languages. By developing translation technology for a diverse range of languages we aim to make such vital information more accessible to populations worldwide.

Who we are:

In addition, we are collaborating with the Masakhane NLP community and Dr Fridah Katushemererwe of Makerere University in Uganda.

We’ll post updates here soon. In the meantime, if you have any queries about the project please contact us at publichealth-mt @