Year: 2025
Type: article
Abstract: This article examines the evolving role of machine translation (MT) in the context of African languages, highlighting its potential for linguistic equity and digital inclusion. With over 2,000 languages spoken across the continent, MT technologies present a unique opportunity to bridge linguistic divides, enhance access to information and services, and promote cultural and educational inclusion across diverse linguistic communities. However, deploying MT in African contexts is fraught with challenges. These include the scarcity of high-quality linguistic data, the structural and typological complexity of many African languages, and the lack of culturally adaptive translation models. The majority of extant MT systems are optimized for high-resource languages, frequently resulting in low accuracy and cultural misrepresentation when applied to African languages. The article posits a multidisciplinary, locally grounded approach to MT development, prioritizing the creation of inclusive datasets, investing in low resource language technologies, and integrating cultural and contextual awareness into translation models. It is imperative that these issues are addressed in order to ensure that MT can serve as a tool for linguistic equity and digital inclusion across the continent.
Source: Uirtus
Author: Ulrich Douo
Institution: University of Ghana
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Reduced inequalities
Open Access status: diamond
OpenAlex ID: W4414059487