An NEH-funded Medici Archive Project
A series of blog posts where I evaluate different approaches to drive the cost of scholarly editions down
Pre-trained language models can help scholars automate some of the most tedious and labor-intensive tasks of edition. Based on the curated annotations of *Secrets of Craft and Nature in Renaissance France*, I evaluate the extent to which a model such as GPT-3 can be rapidly trained to annotate 16th-century technical manuscripts.
Newer version of the interactive treemap with additional features.
Interactive visualizations provide readers with an alternative sensorial input to navigate complex archival documents.
Dashboard web applications increase situational awareness in the archive, ultimately improving the latter's accessibility and researchers' productivity
Experimenting with BnF Ms. Fr. 640
A quick way to correlate the markup of annotated digital editions such as *Secrets of Craft and Nature in Renaissance France* with Python
Building a minimal edition of Filippo Cavriana's secret *epistolarium*