Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks

Understand

Indigenous African languages are categorized as under-served in Natural Language Processing.

• They therefore experience poor digital inclusivity and information access.
• The processing challenge with such languages has been how to use machine learning and deep learning models without the requisite data.
• The Kencorpus project intends to bridge this gap by collecting and storing text and speech data that is good enough for data-driven solutions in applications such as machine translation, question answering and transcription in multilingual communities.