Today we're joined by Elena Nieddu, Phd Student at Roma Tre University, who presented on her project "In Codice Ratio" at the TF Dev Summit.
In our conversation, Elena provides an overview of the project, which aims to annotate and transcribe Vatican secret archive documents via machine learning. We discuss the many challenges associated with transcribing this vast archive of handwritten documents, including overcoming the high cost of data annotation. I think you'll agree that her team's approach to that challenge was particularly creative.
