Machine Intelligence in Africa: a survey

AA Tapo, A Traoré, S Danioko, H Tembine - arXiv preprint arXiv …, 2024 - arxiv.org
In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …

The Less the Merrier? Investigating Language Representation in Multilingual Models

HH Nigatu, AL Tonja, J Kalita - arXiv preprint arXiv:2310.13228, 2023 - arxiv.org
Multilingual Language Models offer a way to incorporate multiple languages in one model
and utilize cross-language transfer learning to improve performance for different Natural …

From N-grams to Pre-trained Multilingual Models For Language Identification

T Sindane, V Marivate - arXiv preprint arXiv:2410.08728, 2024 - arxiv.org
In this paper, we investigate the use of N-gram models and Large Pre-trained Multilingual
models for Language Identification (LID) across 11 South African languages. For N-gram …

PuoBERTa: Training and evaluation of a curated language model for Setswana

V Marivate, M Mots' Oehli, V Wagnerinst… - … African Conference for …, 2023 - Springer
Natural language processing (NLP) has made significant progress for well-resourced
languages such as English but lagged behind for low-resource languages like Setswana …

Self-Directed Learning for Community Health Workers in Malawi Through Generative AI

A Taylor, M Magwira, C Chamangwana… - 2024 IEEE 12th …, 2024 - ieeexplore.ieee.org
In many lower and middle-income countries, a lack of resources affects the availability and
quality of education and training. In the healthcare domain, access to knowledge can make …

Text Categorization Can Enhance Domain-Agnostic Stopword Extraction

H Turki, NA Etori, MAH Taieb, AH Omotayo… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper investigates the role of text categorization in streamlining stopword extraction in
natural language processing (NLP), specifically focusing on nine African languages …