- Congrès : Digital Humanities 2023: Collaboration as opportunity (2023-07-10 - 2023-07-14)
- Directeur(s) : Alliance of Digital Humanities Organisations
Résumé
The aim of our research is to artificially generate fake historical manuscripts using generative adversarial networks, better known as GANs. At this stage, these experiments pursue two objectives: evaluating feasibility of generating realistic fake manuscripts under certain conditions of layout, script, or date, and creating artificial data for HTR training, as is done for printed materials with synthetic data. Ground truth creation is indeed a time consuming task, in particular for ancient languages for which we still lack specialists able to manually annotate documents. GAN appears as a relevant answer to this challenge, as they reach very convincing results in different scenarii. This short paper investigates the feasibility of the line-level approach for historical manuscripts.
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Publications de chercheur
Publication de chercheur
CATMuS-Medieval: Consistent Approaches to Transcribing ManuScripts
Communication dans un congrès
- Date de parution : 2024
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Layout Analysis Dataset with SegmOnto
Communication dans un congrès
- Date de parution : 2024
Publication de chercheur
Detecting Sexual Content at the Sentence Level in First Millennium Latin Texts
Communication dans un congrès Nouveau
- Date de parution : 2024