CLTK-Readers Workshop

Written by diyclassics. Last updated 3.27.2022.

This repo contains notebooks for a workshop at Stanford Classics on 3/31/2022 on learning about the Classical Language Toolkit and CLTK Readers. These notebooks can be run in Binder (all data/models already available) here:

Links

• Classical Language Toolkit
• CLTK Readers
• CLTK Tesserae Corpora: Latin Greek

Recommended reading

• 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.
• Samuels, L., and McGann, J.J. 1999. “Deformance and Interpretation.” New Literary History 30(1): 25–56. doi:10.1353/nlh.1999.0010.

Further reading

• 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].