[split] Word length autocorrelation

[quimqu]

We have line-level (negative) and whole-corpus (positive) autocorrelation so what about Paragraph level ?

Hello Rob,

here the results at paragraph level:


Most paragraphs cluster around slightly positive values, with a fairly wide spread: some negative, some strongly positive, but the overall center of mass is just above zero.
At the paragraph level, the Voynich behaves differently than at the line level. Line-by-line analysis gave a slightly negative mean autocorrelation (around –0.07), similar to natural languages. But when whole paragraphs are taken as the unit, the average flips to positive (~+0.08).

This reinforces the idea that the Voynich text is sensitive to how we segment it:
- Within lines, it shows the short-term alternation typical of natural languages.
- Across larger units (paragraphs, or globally), the accumulated effect of line breaks and long sequences pushes it into the positive range.

That sensitivity to segmentation is itself interesting: in natural languages, cutting text into lines or paragraphs doesn’t usually change the sign of autocorrelation so dramatically.