Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
Research
MT / methodology
Docs live
This landmark Masakhane paper proposes a participatory research model that lets non-specialist speakers meaningfully contribute to building machine translation for their own languages. The work released novel translation datasets and MT benchmarks for more than 30 African languages, with human evaluations for about a third of them. It was published in Findings of EMNLP 2020.
- Category
- Research
- Pricing
- Free / open
- Country
- 馃實 Pan-African
- Last verified
- 5 Jul 2026
Tags
african-languages
machine-translation
masakhane
participatory-research