03-05-2022, 05:49 PM
Generally I think removing spaces is a good idea for entropy statistics as it also removes a lot of potential parsing errors (what's a space, half-space and so on).
But do I read this graph correctly that in EVA h1 slightly decreases when removing spaces?
The black dots are minimally skewed to the left compared to the green ones.
The modified Herbal A in contrast behaves very similar to medieval (and likely also contemporary) texts when removing spaces. What exactly causes this difference to original EVA?
Clearly unstacking glyph combinations makes VM text behave more like traditional ones in this regard.
But can we infer from this that spaces in the VM indeed function like they do in ordinary texts? This would indicate they are not nulls and glyph combinations across spaces are different from ghyph combinations confined by spaces. I would expect that, has this been investigated?
What we can say is that spaces have the same influence on entropy in all EVA sections you analyzed (green/black dots) as the dots are transposed almost exactly the same way. That's an indication they also mean the same thing in those texts.
The bottom line remains in any case - h2 remains extremely low, be it for our insufficient parsing or the underlying plaintext.
But do I read this graph correctly that in EVA h1 slightly decreases when removing spaces?
The black dots are minimally skewed to the left compared to the green ones.
The modified Herbal A in contrast behaves very similar to medieval (and likely also contemporary) texts when removing spaces. What exactly causes this difference to original EVA?
Clearly unstacking glyph combinations makes VM text behave more like traditional ones in this regard.
But can we infer from this that spaces in the VM indeed function like they do in ordinary texts? This would indicate they are not nulls and glyph combinations across spaces are different from ghyph combinations confined by spaces. I would expect that, has this been investigated?
What we can say is that spaces have the same influence on entropy in all EVA sections you analyzed (green/black dots) as the dots are transposed almost exactly the same way. That's an indication they also mean the same thing in those texts.
The bottom line remains in any case - h2 remains extremely low, be it for our insufficient parsing or the underlying plaintext.