Separable "words"

[nablator]

M. Zattera may have over-fitted the data (his transliteration) with his 12-slot model to match as many words as possible, i.e. minimize the number of "separable" words. There is a visible wrap-around effect (slots 7-11 have 6 glyphs in common with slots 0-2) resulting in multiple possibilities of re-parsing lines into words with the same sequence of slots.

If Voynichese has been intentionally obfuscated, with spaces removed and inserted semi-randomly, or just carelessly copied with random-sized spaces as it seems, re-parsing lines with a simpler, unambiguous slot sequence may be a better choice, and an interesting experiment to try with some statistics that rely on word identification like word pair statistics, type-token ratio, etc.

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Making a direct transcription to Italian (like Csan99, in post above) or semi-direct with additional steps toward whatever language anyone prefers (Nahuatl, Latin, Farsi, Turkic, to name a few languages in recent "solutions") is possible, but nobody cares anymore, because it's been done a hundred times already and it has become increasingly frequent with the ease of generating a seemingly meaningful translation from a word salad with IA. All natural language theories have zero credibility anyway because they don't solve any of the real, objectively demonstrable problems.