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MethodsStatistics and informationLayout tests on half C: rule replication, line-position information, language signatures under normalisation, line crowding
Method

Layout tests on half C: rule replication, line-position information, language signatures under normalisation, line crowding

Version 1.0Licence MIT6 runsUsed on 1 mystery

Questions it answers

How it works

Compared with: within-page shuffles; 103 languages cut to the same length; Latin of the manuscript's genres in the same lines.

Code Python

Runs and results 6 runs

RunMysteryMeasuredResultAgainstDate
RUN-255VoynichForm-function coupling by length and version (exploratory, not registered)all, raw 0.149 (languages max 0.09); all, normalised 0.124 (languages max 0.09); all, interior 0.113 (languages max 0.098); half E, raw 0.115 (languages max 0.098); half C, raw 0.086 (languages max 0.095)Twelve languages cut to the same length28 Oct
RUN-254Voynich-m share among line-final alternants: fullest third of lines minus emptiest third (half C)0.332 vs 0.283 (z 2.6, 707 line ends)Within-page shuffle of fullness28 Oct
RUN-253VoynichCoupling falls by a third, or order gain rises by 0.10 bits, under each treatmentnormalised: coupling no, gain no; interior: coupling yes, gain noRaw coupling 0.086, raw gain 0.3128 Oct
RUN-252VoynichFour departures from language under raw, normalised and interior versions of half Craw: h2 2.13, gain 0.31, coupling 0.086, 4-gram repeats 0; normalised: h2 2.08, gain 0.34, coupling 0.059, 4-gram repeats 0; interior: h2 2.04, gain 0.27, coupling 0.045, 4-gram repeats 0Languages at the same length: h2 min 2.51, gain min 1.11, coupling max 0.096 (interior 0.059) · Latin in the same lines 233 4-gram repeats28 Oct
RUN-251VoynichShare of the line-position information removed by the normaliser (half C)68 %Raw 0.1042 / 0.0589 · normalised 0.029 / 0.0224 · interior 0.0164 / 0.0059 · Latin in the same lines 0.003 / 0.00228 Oct
RUN-250VoynichHalf-E line-edge rules that replicate on half C (ratio >= 2, z >= 3)42 of 46Within-page shuffle per rule28 Oct

Applied to

3 datasetsExploration split, Line-edge rules learned on half E (46 minimal alternations at paragraph start, line start and line end), ZL3b transcription
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