Bay

Evaluation of human translations from French to Bambara for machine learning: a pilot study

Bambara is the most widely spoken language in Mali, meaning "translator". Bay — Natural language processing (NLP) — bambara and, ultimately, all the other national languages of Mali.All these languages lack resources (written and bilingual texts). They face the challenge of gathering sufficient data to train NLP systems using deep learning techniques.

Bay Current participants in Bay

The project aims to become a national project in Mali as part of its initiative to use science and technology to advance education and economic development. 80% of Malians do not have mastery of the country's official language, French, and they therefore do not have access to information resources that could help them contribute more to national development. The promotion of national languages is therefore an official objective of the Malian government and Bay

Article presented at the International Conference on Learning Representation (ICLR 2020) during the Workshop on Practical Machine Learning for Developing Countries
Computer-assisted translation by Human-in-the-loop Crowdsourcing for Bambara (in Bambara)
Project summary
Artificial Intelligence Training
Technical articles and notes
Team
Contact

The project team

Sarah K. Luger PhD

Senior Director Of NLP and ML
Orange Silicon Valley

Allahsera Tapo Auguste

Fulbright Scholar
Rochester Instituteof theTechnologyogy

Christopher Holman

Associate Professor
Departmentof Computer Science
Golisano Collegeof theComputing and Information Sciences
Rochester Instituteof theTechnologyogy

Marcos Zampieri

Assistant Professor, Computational Linguistics
College of Liberal Arts, Rochester Institute of Technology

Michael Leventhal

Director of Robots Mali Centre

Seydou Traoré d'AMALAN

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