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Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://dx.doi.org/10.48550/ar...
Article . 2024
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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A recursive encoding for cuneiform signs

Authors: Stelzer, Daniel M.;

A recursive encoding for cuneiform signs

Abstract

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.

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Keywords

FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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