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Synapse
May 20, 20260 citationsOpen Access

Human Writing and Machine Encoding

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SSSteve Slevinski

Key Points

  • The paper aims to clarify the distinction between human signed writing and its machine-encoded counterparts.
  • Examines layers of signed text including written signs, symbol inventories, and layout.
  • Analyzes the roles of encoding, rendering, and search in the context of SignWriting.
  • Argues that serialization can enhance software capabilities for signed writing.
  • Demonstrates that machine representation should not replace the authored spatial forms of signed text.

Abstract

This working paper distinguishes human signed writing from machine encoding in Sutton SignWriting. It argues that SignWriting is first a human writing system and only secondarily a machine-encoded text format. The paper separates written signs, symbol inventories, signboxes, encodings, rendering, styling, layout, search, and analysis as related but distinct layers of signed text. Its central claim is that serialization can support software, exchange, rendering, search, and study without turning plane-based signed writing into line-based writing or replacing authored spatial form with machine representation.

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Cite This Study

Steve Slevinski (2026) studied this question.

synapsesocial.com/papers/6a0d50f3f03e14405aa9d1d1https://doi.org/10.5281/zenodo.20271305
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