Barbrey > 02-08-2021, 12:25 AM
Emma May Smith > 02-08-2021, 12:37 AM
Barbrey > 02-08-2021, 12:56 AM
(02-08-2021, 12:37 AM)Emma May Smith Wrote: You are not allowed to view links. Register or Login to view.Barbrey, that's a neat suggestion. Effectively some glyphs would have multiple "registers" and the following glyph "selects" which register is to be read. So rather than 14 glyphs having 14 values, they could have 10 * 4 = 40 values. Some ancient writing systems did have polysemic glyphs, with signs being able to be read as whole words, sounds, or alternative words in different languages. I'm not sure the exact system you suggest is known, but is something which could have been devised at the time.
Koen G > 02-08-2021, 02:34 PM
julian > 02-08-2021, 06:11 PM
(02-08-2021, 02:34 PM)Koen G Wrote: You are not allowed to view links. Register or Login to view.Hi Julian
We know that EVA likely inflates glyph counts to some extent. This is almost certain for benches, and arguments can be made for other frequent n-grams in EVA, like [qo], [iin] or even [aiin]. I think this might be an issue because you compare various context: after K, after P, after benched gallows...
Here is an exaggerated scenario:
- Let's imagine that [iin] is actually one glyph. This adds two characters to the count whenever it occurs.
- Imagine that [iin] is more common following unbenched gallows, with on average one extra [iin] per gallow.
In this case, the counts for unbenched gallows are on average two higher because of EVA, not because of Voynichese.
You write in your conclusion: "The number of glyphs that follow a benched Gallows is typically 3, before the next Gallows is encountered. For un-benched Gallows, this number is typically 5 to 7." If the glyphs following benched gallows tend to be different glyphs than those following unbenched gallows, then it is possible that the different numbers are caused in part by EVA-inflation. It is also possible though that you will get the same proportions with different parsing, but I cannot rule out EVA-inflation just by looking at your data.
cphesaiin.ol.s.cphey
Gcsam.oes.Gc9
julian > 02-08-2021, 06:45 PM
Aga Tentakulus > 02-08-2021, 10:23 PM
Koen G > 02-08-2021, 10:37 PM
(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?
julian > 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.
Koen G > 03-08-2021, 01:21 AM