Florian Cafiero

The results suggest that, for large digital libraries and archives, retrieval accountability and corpus-aware agent design can provide a practical alternative to heavier training-based or graph-construction approaches.

LLMs can now credibly bootstrap linguistic annotation for historical languages, even without fine-tuning, offering a path around data scarcity.