Authors
Sergiu Gordea, George Cristian Cotea, Frank Drauschke, Jasmin Salesevic, Marthe Lamote and Tom Vanallemeersch
Abstract
This paper presents a workflow for HTR dataset generation in Romanian using Transcribathon’s Correct HTR feature. Leveraging citizen-science transcriptions aligned with Transkribus outputs, our case study on Jurnalul lui Dumitru Nistor reduced CER from 15.26% to 0.13%. The approach enables efficient dataset curation and supports scalable model development in low-resource languages.
This paper will appear in the proceedings of IDCC 2026 (International Digital Curation Conference).
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