Structure-Aware Text Recognition for Ancient Greek Critical Editions
Recent advances in visual language models (VLMs) have transformed end-to-end document understanding. However, their ability to interpret the complex layout semantics of historical scholarly texts remains limited. This paper investigates structure-aware text recognition for Ancient Greek critical editions, which have dense reference hierarchies and extensive marginal annotations. We introduce two novel resources: (i) a large-scale synthetic corpus of 185,000 page images generated from TEI/XML sources with controlled typographic and layout variation, and (ii) a curated benchmark of real scanned editions spanning more than a century of editorial and typographic practices. Using these dataset...
| Authors | Nicolas Angleraud, Antonia Karamolegkou, Benoît Sagot et al. |
|---|---|
| Primary category | cs.CV |
| Published | 3 March 2026 |
| Last updated at source | 16 June 2026 |
Models and datasets referencing this paper
- Ericu950/AncientGreekDataset
- anonymous-stoicheia/AncientGreekDataset
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