Ekaterina Vylomova

Retrieval for User-Centered Translation: Lessons from RAG-based Tools for Low-Resource Domains

Machine translation for low-resource languages suffers from domain-imbalanced corpora, causing quality degradation on technical text. However, in-context learning opens the possibility to rely on limited in-domain corpora to inform translation. We present lessons learned from Tulun, a retrieval-augmented system combini...