Torsten > 09-01-2020, 10:16 PM
Quote:the Voynich language,unlike the known languages, shows proportionally larger separation also along PC2 in its character transition frequencies, showing that the Voynich characters probably abide by more complex co-occurrence rules than characters of typical known languages.
Quote:The Voynich character’s observation points were generally close together in the plot if the characters looked similar. That is, the more similar the characters look, the more similar would be their pattern of transition probabilities to other characters.
DonaldFisk > 10-01-2020, 10:58 AM
MarcoP > 11-01-2020, 10:59 AM
DonaldFisk > 11-01-2020, 04:27 PM
Alin_J > 01-02-2020, 05:37 PM
MarcoP > 09-02-2020, 11:46 AM
Alin_J > 09-02-2020, 12:33 PM
MarcoP > 29-02-2020, 10:59 AM
Alin_J > 29-02-2020, 12:02 PM
Quote:Both authors apparently only consider transitions from one character to the following one. The alternative would be to also consider transitions from each character to the one being examined, so that for an alphabet with C glyphs you get C*2 dimensions for each glyph X (aX Xa bX Xb cX Xc etc). I think that also considering the transition from the preceding character could result in more robust results: for instance, in English 'c' is often followed by the consonant 'k', by also considering the preceding character, words like 'black' or 'quick' will help correctly classifying 'c' as a consonant.
Alin_J > 04-03-2020, 07:39 AM
(29-02-2020, 10:59 AM)MarcoP Wrote: You are not allowed to view links. Register or Login to view.different subsections of the VMS (Currier A/B, image-defined sections)