[en] This article proposes a set of small-scale tests using generative AI (GenAI) in post-OCR correction. It illustrates, through examples of responses obtained from GenAI chatbots integrated into post-OCR correction and assessment tasks, what types of challenges should be addressed in this context when working with historical datasets.
Disciplines :
Arts & humanities: Multidisciplinary, general & others
Author, co-author :
ARMASELU, Florentina ; University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography
External co-authors :
no
Language :
English
Title :
Small-Scale Testing on Generative AI and Post-OCR Correction in Historical Datasets
Publication date :
04 December 2025
Journal title :
Digital Humanities Benelux Journal
eISSN :
2666-6952
Publisher :
DH Benelux, Netherlands
Special issue title :
Breaking Silos, Connecting Data: Advancing Integration and Collaboration in Digital Humanities
