AI RESEARCH

Developing an English-Efik Corpus and Machine Translation System for Digitization Inclusion

arXiv CS.CL

ArXi:2603.14873v1 Announce Type: new Low-resource languages serve as invaluable repositories of human history, preserving cultural and intellectual diversity. Despite their significance, they remain largely absent from modern natural language processing systems. While progress has been made for widely spoken African languages such as Swahili, Yoruba, and Amharic, smaller indigenous languages like Efik continue to be underrepresented in machine translation research.