Research

Towards a Spatial Grammar of Early Dynastic Cuneiform Writing

Developed a quantitative methodology for studying how the spatial relationships of cuneiform signs change during one of the most foundational shifts in early writing, the transition from two-dimensional glyph placement to linear (speech-aligned) placement. The examiners described it as “an innovative methodology combining philology, computational geometry, and statistical analysis.”

SumTablets: A Transliteration Dataset of Sumerian Tablets

with Richard Diehl Martinez and Dan Jurafsky

Released an open dataset mapping Unicode cuneiform glyphs to transliterations, with naive and transformer baselines on the transliteration task.

ACL Anthology·arXiv·Repo·Dataset

Babbage in Babylon: Pioneering Deep Learning Approaches to Sumerian Cuneiform

readers: Dan Jurafsky, Ian Morris, and Niek Veldhuis

Deep learning approaches to three cuneiform tasks: OCR, transliteration, and translation. Awarded the Firestone Medal for Excellence in Undergraduate Research.

Stanford Digital Repository