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

Year: 2025

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15703824

Authors: Barget, Monika, Hufkens, Koen

Institutions: Maastricht University, University of Bern, BlueGreen Labs (bv) (Belgium)

Language: English

Topic: Digital Humanities and Scholarship

Subfield: Literature and Literary Theory

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6949936609

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