Case Study - Low-Resource Language Translation
Translation systems for low-resource languages with community-driven quality improvements.
- Client
- Migration Humanitarian Health Collective
- Year
- Service
- Machine Learning
Overview
We're working with the Migration Humanitarian Health Collective on translation systems for low-resource languages.
The project includes an online tuning system that allows community members to make edits and corrections. This feedback loop improves translation quality for different groups over time, ensuring the system adapts to the specific needs of each community.
What we did
- Natural Language Processing
- Machine Translation
- Community-Driven ML