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[split] Word length autocorrelation - Printable Version

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[split] Word length autocorrelation - ReneZ - 05-09-2025

(04-09-2025, 09:59 PM)quimqu wrote: You are not allowed to view links. Register or Login to view.In real languages, the correlation is usually slightly positive: long words tend to follow long words, short after short. But in the Voynich, it’s negative (about –0.07). That means the text tends to alternate — long words are followed by short words, and short by long.
It gives the text a zig-zag rhythm.

If that is a 'normalised' correlation, i.e. not a covariance, then the value -0.07 means 'no correlation'.
So, it depends on how it was calculated.

(04-09-2025, 09:59 PM)quimqu wrote: You are not allowed to view links. Register or Login to view.When I scrambled the text within lines as a test, the alternation got even stronger, which proves the manuscript isn’t random, but it’s still unlike natural language.

This is not expected, and suggests that both cases effectively show 'no correlation'.


RE: Can LAAFU effects be modeled? - quimqu - 05-09-2025

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RE: Can LAAFU effects be modeled? - MarcoP - 05-09-2025

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RE: Can LAAFU effects be modeled? - nablator - 05-09-2025

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RE: Can LAAFU effects be modeled? - quimqu - 05-09-2025

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RE: Can LAAFU effects be modeled? - Jorge_Stolfi - 05-09-2025

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RE: [split] Word length autocorrelation - MarcoP - 05-09-2025

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RE: [split] Word length autocorrelation - Jorge_Stolfi - 05-09-2025

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RE: [split] Word length autocorrelation - quimqu - 05-09-2025

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RE: [split] Word length autocorrelation - nablator - 05-09-2025

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