Using machine learning to close the vocabulary gap in the context of environment and climate change in Chichewa (LVL 4)

Case Study: Machine Learning has a role to play in closing the ‘vocabulary gap’ of terms and concepts regarding the environment and climate change that exists in Chichewa and other Malawian languages. They aim to create a visual dictionary of key terms used to describe the environment and explain the issues involved in climate change and their meaning. There are several practical steps in which ML can be used and they aim to build a glossary for the environmental science (similar to wikipedia), in Chichewa and other local languages used in Malawi.

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