A recursive encoding for cuneiform signs
Abstract One of the most significant problems in cuneiform studies is the process of identifying unknown signs, which often involves a tedious page-by-page search through a sign list. This paper proposes a new “recursive encoding” for signs, which represents the arrangement of strokes in a way that computers can process. A series of new algorithms then offers scholars a new way to look up signs by any distinctive component, as well as providing new ways to render signs and tablets electronically. ACM CCS Applied computing → Document management and text processing → Document preparation → Format and notation.
Authors
- Daniel M. Stelzer
Institutions
- University of Illinois Urbana-Champaign (US)
Publication Details
- Journal
- it - Information Technology
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1515/itit-2024-0067
- Citations
- 1
- Primary Topic
- Image Processing and 3D Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 0.25