Written by diyclassics. Last updated 6.21.2023.
This repo contains notebooks for the Digital Latin Workshop at Dickinson College on 7.12-7.15.2023 on using Python to "explore" Latin texts.
These notebooks can be run in Binder (all data/models already available) here:
TK
- LatinCy
- CLTK Readers
- CLTK Tesserae Corpora: Latin
- Montfort, N. 2021. Exploratory Programming for the Arts and Humanities. 2nd edition. Cambridge, MA: MIT Press.
- Rockwell, G., and Sinclair, S. 2016. Hermeneutica: Computer-Assisted Interpretation in the Humanities. Cambridge, MA: MIT Press.
- Bengfort, B., Bilbro, R., and Ojeda, T. 2018. Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning. Sebastopol, CA: O’Reilly.
- Karsdorp, F., Kestemont, M., and Riddell, A. 2021. Humanities Data Analysis: Case Studies with Python. Princeton: Princeton University Press.
- Lane, H., Hapke, H., and Howard, C. 2019. Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python. Shelter Island, NY: Manning Publications.
- Mattingly, W. 2021. "Latin Natural Language Processing" on YouTube. [https://www.youtube.com/playlist?list=PL2VXyKi-KpYuKYUkf1aODP4vHpOh7yvjr].
- Walsh, M. 2021. Introduction to Cultural Analytics & Python. [https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html].