In You are not allowed to view links. Register or Login to view. Nikolai claims that "after analyzing the text with the already available data, it was found that in words that begin with vowels, these vowels are omitted. Moreover, and within words vowels are used very rarely".
Nikolai does not explain how he arrived to this conclusion, neither does he supply any considerations in support.
But nonetheless I decided to check what we will have in terms of character entropy if we make a text vowelless. (I'm not sure if I have not done that before).
I took the same "GDPR in Latin" source text referenced above with the following parameters:
h0 = 4.39
h1 = 3.95
h2 = 3.16
h0-h1 = 0.44
h1-h2 = 0.79
Then I excluded all vowels, and obtained the following:
h0 = 4.00
h1 = 3.47
h2 = 2.93
h0-h1 = 0.53
h1-h2 = 0.54
So despite the decrease in h2, the relative value h1-h2 (which is unusually high for the VMS - which is the main problem!) only decreases with leaving the vowels off.
It all may be different if vowels are then "reconstructed" in some other (statistically inefficient) manner. But I do not know how.
Nikolai does not explain how he arrived to this conclusion, neither does he supply any considerations in support.
But nonetheless I decided to check what we will have in terms of character entropy if we make a text vowelless. (I'm not sure if I have not done that before).
I took the same "GDPR in Latin" source text referenced above with the following parameters:
h0 = 4.39
h1 = 3.95
h2 = 3.16
h0-h1 = 0.44
h1-h2 = 0.79
Then I excluded all vowels, and obtained the following:
h0 = 4.00
h1 = 3.47
h2 = 2.93
h0-h1 = 0.53
h1-h2 = 0.54
So despite the decrease in h2, the relative value h1-h2 (which is unusually high for the VMS - which is the main problem!) only decreases with leaving the vowels off.
It all may be different if vowels are then "reconstructed" in some other (statistically inefficient) manner. But I do not know how.