https://github.com/diyclassics/exploratory-philology-dickinson
Repo for DDLW
https://github.com/diyclassics/exploratory-philology-dickinson
Last synced: about 1 year ago
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Repo for DDLW
- Host: GitHub
- URL: https://github.com/diyclassics/exploratory-philology-dickinson
- Owner: diyclassics
- Created: 2023-06-21T22:59:06.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-07-12T12:01:23.000Z (almost 3 years ago)
- Last Synced: 2025-05-15T08:12:10.337Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 556 KB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Dickinson Digital Latin Workshop @ Dickinson College
*Written by [diyclassics](https://diyclassics.github.io). 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:
[](https://mybinder.org/v2/gh/diyclassics/exploratory-philology-dickinson/HEAD?labpath=notebooks)
## Description
TK
## Links
- [LatinCy](#)
- [CLTK Readers](https://github.com/diyclassics/cltk_readers)
- CLTK Tesserae Corpora: [Latin](https://github.com/cltk/lat_text_tesserae)
## 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.
## 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].