Swift-Footed Autocomplete: The Homeric Noun–Epithet System as a Zero-Click Predictive-Text Engine, with a Defect Audit of Its Longest-Running Production Incident
Philomena Q. Hexworth-Adeyinka1, Telemachus J. Braithwaite-Osei2, Dagmar V. Papastavrou-Lindqvist3
1. Chair of Computational Philology, Marlowe Institute · 2. Laboratory for Oral Tradition Engineering, Kelvin College · 3. Centre for Bronze Age Human–Computer Interaction, Ossory Institute
Submitted and rejected July 9, 2026 · 6 pages · 4 figures · review duration: 9 minutes
Abstract
keywords: oral-formulaic theory · Homer · predictive text · dactylic hexameter · epithets · cache design
Cite this rejection
@article{PRJ20260015,
title = {Swift-Footed Autocomplete: The Homeric Noun–Epithet System as a Zero-Click Predictive-Text Engine, with a Defect Audit of Its Longest-Running Production Incident},
author = {Philomena Q. Hexworth-Adeyinka and Telemachus J. Braithwaite-Osei and Dagmar V. Papastavrou-Lindqvist},
journal = {Peer Rejected},
year = {2026},
note = {Rejected manuscript, PRJ-2026-0015},
url = {https://peerrejected.com/papers/swift-footed-autocomplete}
}Citing this paper is done at your own professional risk.