A Recursive Encoding for Cuneiform Signs

Abstract

One of the most significant problems in cuneiform pedagogy is the process of looking up 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 a computer can process. A series of new algorithms then offers students a new way to look up signs by any distinctive component, as well as providing new ways to render signs and tablets electronically.

27 pages, 29 figures, 5 tables

References in corpus (2)

• Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
• CNN based Cuneiform Sign Detection Learned from Annotated 3D Renderings and Mapped Photographs with Illumination Augmentation