Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead

TL;DR

This survey reviews 884 recent NLP research papers on African languages, highlighting progress, challenges, and future directions to promote inclusivity and sustainability in NLP for Africa's diverse linguistic landscape.

Contribution

It provides the first comprehensive overview of recent African NLP research, analyzing trends, identifying gaps, and suggesting future pathways for more inclusive language technologies.

Findings

Growth in multilingual resources and community initiatives

Increasing research output on core NLP tasks

Identified gaps in language coverage and technology adoption

Abstract

With over 2,000 languages and potentially millions of speakers, Africa represents one of the richest linguistic regions in the world. Yet, this diversity is scarcely reflected in state-of-the-art natural language processing (NLP) systems and large language models (LLMs), which predominantly support a narrow set of high-resource languages. This exclusion not only limits the reach and utility of modern NLP technologies but also risks widening the digital divide across linguistic communities. Nevertheless, NLP research on African languages is active and growing. In recent years, there has been a surge of interest in this area, driven by several factors-including the creation of multilingual language resources, the rise of community-led initiatives, and increased support through funding programs. In this survey, we analyze 884 research papers on NLP for African languages published over the past five years, offering a comprehensive overview of recent progress across core tasks. We identify key trends shaping the field and conclude by outlining promising directions to foster more inclusive and sustainable NLP research for African languages.