Best practices in pre- and post-ATR for historical research
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.
Institutions
- University of Bern (CH)
- Maastricht University (NL)
- BlueGreen Labs (bv) (Belgium)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-20
- DOI
- https://doi.org/10.5281/zenodo.15703825
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00