Machine-assisted translation by Human-in-the-loop Crowdsourcing for Bambara
Journal: RIT Scholar Works (Rochester Institute of Technology)
Year: 2020

Language is more than a tool of conveying information; it is utilized in all aspects of our lives. Yet only a small number of languages in the 7,000 languages worldwide are highly resourced by human language technologies (HLT). Despite African languages representing over 2,000 languages, only a few African languages are highly resourced, for which there exists a considerable amount of parallel digital data.\nWe present a novel approach to machine translation (MT) for under-resourced languages by