Automatic Suggestions of Supplements in the Herculaneum Papyri: Language Models and RESTful API
Angelo Mario Del Grosso, Gabriele Giannessi, Simone Zenzaro, Federico Boschetti
Abstract
This paper addresses a computational philology task focused on the automatic restoration of textual gaps (i.e., lacunae) in the Herculaneum Papyri, whose Ancient Greek texts are inherently fragmentary due to damage caused by carbonization. The objective of this work is to show the preliminary results concerning the development of a web-based suggestion service for proposing plausible supplements to fill lacunae, thereby supporting the philological process of producing new critical editions within a new web-based digital scholarly editing environment. To automatically provide such suggestions, we have developed systems that generate textual supplements in Ancient Greek, employing both neural (BERT-like) and statistical (n-gram) language modeling approaches.- Anthology ID:
- 2026.lrec-main.41
- Volume:
- Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2026
- Address:
- Palma de Mallorca, Spain
- Editors:
- Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral
- Venue:
- LREC
- SIG:
- Publisher:
- ELRA Language Resource Association
- Note:
- Pages:
- 590–598
- Language:
- URL:
- https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.41/
- DOI:
- Cite (ACL):
- Angelo Mario Del Grosso, Gabriele Giannessi, Simone Zenzaro, and Federico Boschetti. 2026. Automatic Suggestions of Supplements in the Herculaneum Papyri: Language Models and RESTful API. International Conference on Language Resources and Evaluation, main:590–598.
- Cite (Informal):
- Automatic Suggestions of Supplements in the Herculaneum Papyri: Language Models and RESTful API (Del Grosso et al., LREC 2026)
- PDF:
- https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.41.pdf