Abstract
This project presents an innovative approach to analyzing and dating post-1540 Hebrew manuscripts through artificial intelligence. While traditional dating methods rely on manual paleographic analysis requiring extensive expertise, our research leverages MARC metadata from digital manuscript repositories, particularly the KTIV platform containing over 100,000 Hebrew manuscripts. Building on recent advancements in AI applications for historical manuscripts [1, 5] and Hebrew text analysis [3, 4], we aim to develop systematic methods for manuscript dating and identification of new typological features. Our preliminary analysis of manuscripts from 1600-1700 demonstrates distinct patterns in scribal traditions across different regions and time periods, suggesting the feasibility of AI-powered dating and classification methodologies.
| Original language | English |
|---|---|
| Journal | Proceedings of the International Conference on Dublin Core and Metadata Applications |
| DOIs | |
| State | Published - 2025 |
| Event | 23rd International Conference on Dublin Core and Metadata Applications, DCMI 2025 - Barcelona, Spain Duration: 22 Oct 2025 → 25 Oct 2025 |
Keywords
- Hebrew manuscripts
- MARC metadata
- artificial intelligence
- digital humanities
- manuscript dating
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications
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