Published June 20, 2025 | Version v1
Presentation Open

Best practices in pre- and post-ATR for historical research

  • 1. ROR icon Maastricht University
  • 2. ROR icon University of Bern
  • 3. BlueGreen Labs

Description

Based on discussions and hands-on experiments conducted with the participants of a HERMES Bring Your Own Data Labs workshop hosted in Mainz in February 2025, this paper shares four key recommendations for (AI-supported) pre-and post-ATR (automatic text recognition) in historical research. The code used during the workshop and important observations are also published in the following GitHub repository:

Barget, Monika (2025). Automated text recognition in historical research. [Github repository]. https://monikabarget.github.io/atr-historical-research/

The repository is work-in-progress and will be updated further. 

Files

Dariah2025_paper_MB-KH.pdf

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Additional details

Software

Repository URL
https://monikabarget.github.io/atr-historical-research/
Programming language
Python
Development Status
Active