31-10-2019, 05:41 PM
Hi Rene,
I think that the results for mod1 and mod2 tell us more than the encryption of Machiavelli: your two methods autonomously generate a network of similar words, as Timm's method does.
You wrote:
This seems a promising approach. I was thinking that it might be the case to apply the method to Machiavelli (or to a different text with a more Voynich-like TTR than Pliny), but I believe these ratios are not optimal. The histogram for Voynichese looks more like 15:10:5. I wonder how difficult it would be to tune the method to get results closer to Voynichese?
I attach measures for couples of consecutive words: exact-reduplication (distance=0) and quasi-reduplication (distance=1). I have normalized the measures, dividing by the number of words in each text.
Unless I messed up something, the frequency of quasi-reduplication in mod1 and mod2 is about four times as large as in the VMS (14% vs 3%).
I think that the results for mod1 and mod2 tell us more than the encryption of Machiavelli: your two methods autonomously generate a network of similar words, as Timm's method does.
You wrote:
Quote:pliny_mod2 is interesting, because due to its structure it allows to predict the frequencies of the various edit distances. For all words that are not the same (edit distance 0) the ratio should be 20 : 5 : 1 for edit distances 1 , 2 , 3 , and smaller again for 4.
This seems a promising approach. I was thinking that it might be the case to apply the method to Machiavelli (or to a different text with a more Voynich-like TTR than Pliny), but I believe these ratios are not optimal. The histogram for Voynichese looks more like 15:10:5. I wonder how difficult it would be to tune the method to get results closer to Voynichese?
I attach measures for couples of consecutive words: exact-reduplication (distance=0) and quasi-reduplication (distance=1). I have normalized the measures, dividing by the number of words in each text.
Unless I messed up something, the frequency of quasi-reduplication in mod1 and mod2 is about four times as large as in the VMS (14% vs 3%).


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