Digital Humanities

Most primary sources never get published. The grant-funded digital edition model is too expensive, too centralised, and too fragile to work at scale. Here’s why I’m building the critical edition of Cavriana’s letters differently.

An MCP server that helps AI agents read and write valid TEI XML, with 16 tools covering element lookup, attribute resolution, content model expansion, nesting validation, document validation, and ODD customisation.

tei-mcp is an open-source MCP server that gives AI coding assistants direct access to the TEI P5 specification — element lookup, attribute resolution, nesting validation, document validation, and ODD customisation.

A high-performance tool for parallel XSLT 2.0/3.0 transformations of large XML TEI corpora, handling transformations that LXML cannot process.

A Python tool that converts VIAF identifiers into TEI XML person entries and annotation tags, streamlining authority control in digital scholarly editions.

GPT-3 helps converting large amounts of bibliography into a database in a short amount of time

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.