A Recursive Encoding for Cuneiform Signs
Daniel M. Stelzer (University of Illinois at Urbana-Champaign)

TL;DR
This paper introduces a recursive encoding method for cuneiform signs that facilitates easier lookup, rendering, and digital processing of signs and tablets, improving pedagogy and digital humanities tools.
Contribution
It presents a novel recursive encoding scheme for cuneiform signs and algorithms for sign lookup and rendering, advancing digital cuneiform studies.
Findings
Enhanced sign lookup efficiency
New digital rendering methods
Improved pedagogical tools
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.
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Taxonomy
TopicsAncient Egypt and Archaeology
