03-08-2021, 12:47 AM
(02-08-2021, 10:37 PM)Koen G wrote: You are not allowed to view links. Register or Login to view.(02-08-2021, 06:11 PM)julian wrote: You are not allowed to view links. Register or Login to view.For Voyn_101 the number will be N for benched and M for un-benched. Will M-N be different or the same for all transcriptions, and will the shapes of the distributions look the same as for EVA?
Yeah, that's basically what I mean. I don't know how easy or time consuming it is for you to repeat the experiment with a different text file? If it's not too much trouble, there is something you could do to remove my worriesAnd I think the result may be interesting either way.
Just make a copy of the EVA file you used and turn a number of n-grams into single characters with find and replace. Since we are only looking at counts, this may even be the same character, like "b".
[ch] -> find and replace with b
[sh] -> b
[ain] -> b
[aiin] -> b
[qo] -> b
Like this, you will have replaced the most annoying n-grams with a single character. If this only changes the absolute values but nothing else, parsing is likely not an issue.
Hi Koen, here are the results without/with your substitutions:
Un-benched pure EVA:
![[Image: gallows1.png]](https://voynichattacks.files.wordpress.com/2021/08/gallows1.png)
Un-benched modified EVA:
![[Image: gallows1_koen.png]](https://voynichattacks.files.wordpress.com/2021/08/gallows1_koen.png)
Benched, pure EVA:
![[Image: gallows2.png]](https://voynichattacks.files.wordpress.com/2021/08/gallows2.png)
Benched, mod EVA:
![[Image: gallows2_koen.png]](https://voynichattacks.files.wordpress.com/2021/08/gallows2_koen.png)
In summary, the modes change as follows:
p goes from 7 -> 5
f goes from 6 -> 4
k goes from 5 -> 4
t goes from 5 -> 4
cph 3 -> 2
cfh 3 -> 3
ckh 3 -> 2
cth 3 -> 2


And I think the result may be interesting either way.![[+]](https://www.voynich.ninja/images/collapse_collapsed.png)