CLLG Ancient Greek Printed Edition Segmentation
This model is trained on 800 pages of printed edition, with a vocabulary close to LADaS (Without P subcategories). The dataset is made of https://zenodo.org/records/22098097, with around different 70 books (from a dozen pages to 2 pages minimum per book).
Authors
- Antonia Karamolegkou (ORCID: https://orcid.org/0000-0002-6458-0986)
- Thibault Clérice (ORCID: https://orcid.org/0000-0003-1852-9204)
- Nicolas Angleraud (ORCID: https://orcid.org/0009-0008-9076-7630)
- Maïna Laurent (ORCID: https://orcid.org/0009-0001-6479-2401)
Institutions
- Institut national de recherche en sciences et technologies du numérique (FR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-09
- DOI
- https://doi.org/10.5281/zenodo.24077352
- Primary Topic
- Handwritten Text Recognition Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00