Developing Multilingual Machine Translation Systems for Low-Resource Nigerian Languages using Azure AI

This presentation explores the development of a custom machine translation system for Nigerian languages using Azure AI. It focuses on addressing challenges associated with low-resource languages, including limited parallel corpora and linguistic diversity. The work demonstrates how cloud-based AI tools can be leveraged to build accurate, scalable, and multilingual translation models, highlighting potential applications in education, government, and cross-cultural communication. Case studies from the Nigerian context illustrate the system’s effectiveness in bridging language gaps and promoting digital inclusivity.