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Tag: Python

From Natural Language to Graphing Social Networks

June 27, 2021 James M. Tucker Leave a comment

I want to explore some ideas I have been working on in collaboration with the Emma B. Andrews Diary project.…

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Posted in: Digital Humanities, Natural Language Processing Filed under: BeautifulSoup4, Emma B. Andrews, Graph Databases, Jupyter Notebooks, Python, Social Networks
A Life of Books and Computers

Regions of Interest Quantified – Introduction to a Digital Humanities Solution to Editorial Methods (Part III.5)

August 9, 2020 James M. Tucker Leave a comment

In the previous post of this series, we surfaced some significant issues relating to the reconstruction of 1QSa II 11–12.…

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Posted in: Dead Sea Scrolls, Digital Humanities, Judean Desert Scrolls Filed under: DJD, Editorial Practices, Editorial Theory, Jupyter Lab, Philology, Python

Regions of Interest Quantified – Solving Problems of the Analogue Methods of the Discoveries in the Judean Desert Series (Part III.3)

January 2, 2020 James M. Tucker Leave a comment

Before we return to solve some of the issues of 1QSa II 11–12, I think it would be helpful to…

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Posted in: 2D Material Reconstruction Series, Dead Sea Scrolls, Digital Humanities, Judean Desert Scrolls Filed under: Editorial Best Practices, Python, Relational Dabatase

Regions of Interest Quantified – Solving Problems of the Analogue Methods of the Discoveries in the Judean Desert Series (Part III.2)

December 19, 2019 James M. Tucker Leave a comment

Our last post ended by introducing the idea of Regions of Interest (ROI). Regions of Interest is not a new…

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Posted in: Dead Sea Scrolls, Digital Humanities, Judean Desert Scrolls Filed under: 4Q230, Computer Vision, Editorial Best Practices, OpenCV, Philology, Python, Tigchelaar

On the Palestine Archaeological Museum (PAM) Plates

October 21, 2019 James M. Tucker Leave a comment

It’s no exaggeration to say that scholarly analysis of the Judean Desert scrolls is indebted to technology in ways unquantifiable.…

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Posted in: Digital Humanities, Judean Desert Scrolls, PAM Images Filed under: 1Q22, Computer Vision, Dead Sea Scrolls, Fastai, J. T. Milik, LLDSSEL, Material Reconstruction, Python, Qumran, Sift

Recent Posts

  • New Directions: Data Science, Computer Vision, and Natural Language Processing
  • From Natural Language to Graphing Social Networks
  • Schriftenmetric – Digital Palaeography and Scroll Reconstruction (Part IV.2)
  • Reflections on Leaving Germany (part. I) – A Short Essay
  • A Note on Cognitive Semantics and Categories

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