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A Multilingual Neural Machine Translation Framework for Low-Resource Nigerian Languages Using Microsoft Azure AI

Domain:

natural language processing

Record type:

modelproject
Creator:
Oyi
Publisher:
Zenodo
Host:avatar

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.

Visit

doi.org

Tasks

machine translation

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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