By coincidence I just purchased the plant from You are not allowed to view links. Register or Login to view. in Ikea. It's a succulent with actual dots on the leaf edges (I think these are new plants).
I'd like to open a new thread about this folio, f1v.
This folio is already known for a glyph ("G" or "3") on a green leaf, on the left side.
I'd like to show you something, on a yellow leaf, on the right side.
First of all, the folio, You are not allowed to view links. Register or Login to view.
If we zoom in strongly, we can see clearly a glyph who looks like the number "1".
On the left of this "1", we can distinguish with difficulty another number "8".
If there are numbers, we get a "81".
If you look at the herbals like an unit being displayed, you could split a herbal drawing up into:
top with flowers
leafs top
branch (small)
(fruit or) seed
main branch (thick)
----
bottom base, root crown
root
For comparison with Arabic counterparts, You are not allowed to view links. Register or Login to view.
If you count the parts on the left and right side of each herbal, you will notice that there are balanced but also un-balanced herbals.
Sometimes you counts 4 big tubers on one side and 5 on the other, 7 leafs on one side and 6 on the other side etc.
Some random picks.
f10v: 2 flowers, leafs left: 3, leaf right: 5.
f16r: 1 big flower in middle, 2 left flowers, 2 right, 3 branches, on the left 3 with 3 leafs, on the right 4 branches with 4 leafs.
f41v: 4 branches left, 3 branches right. 2 root tubers balanced. 4 leafs left, 3 right. 1 long root thing.
Although there are also balanced herbals.
For example f33v: 3 bulbs, 3 flowers. 3 leafs left, 3 leaves right.
f16v: 1 big flower in middle, 2 left, 2 right
f48r: 3 flowers, 1 longer on the left, 5 branches left, 5 branches right, 6 green things on both sides, 3 root things balanced
On the contrary, in most Dioscorides and pseudo herbals that I've seen most herbals show a balanced drawing.
Hard figures I do not have, this is based on a general feeling during the last year.
If there is a (hidden) significance in showing a balanced or unbalanced herbal, and you and such information to share, please share that.
If you don't think it is relevant, please mention that together with any of your research references, would be much appreciated.
funny thing with the corpus regex (ace, btw. thx). google translate (yes, again), thinks the chol example is welsh. welsh dictionary tells me "from her lap", old english welsh thesaurus tells me chol comes from arab. "chalel", "to expect" (I expect it means expecting a child).
Hello everyone!
I'm a herbalist from the Adriatic area and i would like to join in on the discussion of the VM MS408 on this forum, seems the community is fairly active and solid, cheers.
as the name of the thread says this is about plant id. namely items on folios F3r F3v You are not allowed to view links. Register or Login to view.
Asplenium billotii Aconitum napellus aka MONKSHOOD
HEDERA
At the Frankfurt manuscript fair, 11-15 October the company just told me. They will be showing off their very first handwritten copy.
Anyone nearby to take a look? I can probably bag you a chat with them.
The official presentation is in November.
I wonder how useful it would be to have an agreed set of meta characters as part of EVA.
I have seen others use capital letters to stand for groups of characters which are similar in some ways. For example [E] can be used to stand for [e, ee, eee], ignoring exactly how many [e] characters are in a row. So [okEdy] could stand for [okedy, okeedy, okeeedy]. This is useful in talking about more general and abstract word structure.
Some proposals for meta EVA:
[B]: any bench [ch, sh]
[E]: any [e] sequence [e, ee, eee]
[G]: any non-bench gallows [k, t, f, p]
[I]: any [i] sequence [i, ii, iii]
[N]: any sequence ending [n] with any number of [i], so [n, in, iin, iiin]
[R]: any sequence ending [r] with any number of [i], so [r, ir, iir]
After reading You are not allowed to view links. Register or Login to view., I was curious to understand more of Hidden Markov Models and language analysis.
I found a reference to a 1980 paper by Cave and Neuwirth. Apparently, they experimented with several HMM configurations, mapping the symbols more likely to be produced by the single states to specific phonetic properties.
A python implementation of their experiment is available online: You are not allowed to view links. Register or Login to view.
Most of the theory escapes me, but I have run some simple experiments with the Python software.
In order to reproduce something vaguely similar to what Reddy and Knight did, I set the number of nodes to 2. I made tests with Latin, Italian and English and the algorithm is rather consistent in assigning vowels and consonants to two different states. Since the initial parameters of the HMM (the transition probabilities between the two nodes and the probability for each node to generate each symbol) are initially randomly set, the optimization phase (Baum–Welch) can produce different results in different runs.
Here is an example of what I get for Latin (the XVI Century Matthioli herbal in You are not allowed to view links. Register or Login to view.).
These are the results for what the python implementation calls “matrix A”: they are the probabilities with which the model passes from the current state to the next state:
Code:
0 1
0 0.203 0.797
1 0.785 0.215
The matrix is almost symmetrical. Both states have a higher probability of passing to the other state than remaining in the current state. The optimization has configured state 0 to emit consonants and state 1 to emit vowels: in Latin consonants and vowels tend to alternate, so the model alternates between the two states.
The color diagram above is the visual representation of Matrix B (the probability of emission of each symbol for each state) as produced by the python script. The top row corresponds to state 0, the bottom row corresponds to state 1. It should be clear that the two are complementary and that consonants are only emitted in state 0, while vowels are only emitted in state 1. It is also interesting to observe that space is the only symbol that is likely to be emitted by both states: this is because Latin words tend to end both with consonants and vowels: the probability of a consonant ending is higher, so the probability of state 1 emitting space is also higher. A typical pattern might be:
Code:
State1 State0 State1 State0 State1 State0 State1
SPACE Consonant Vowel Consonant Vowel Consonant SPACE
I have drawn by hand the black and white diagram, in order to summarize the configuration produced by the optimization algorithm. Symbols are sorted by decreasing emission probability. The 0-0 and 1-1 loops correspond to the generation of consonant-consonant and vowel-vowel digraphs.
![[Image: f065r_crd.jpg]](http://voynich.nu/q08/f065r_crd.jpg)
![[Image: Asplenium_billotii_002.jpg]](https://upload.wikimedia.org/wikipedia/commons/4/40/Asplenium_billotii_002.jpg)
![[Image: 866497.jpg]](http://www.summitpost.org/images/original/866497.jpg)
![[Image: hedera-helix-n4.jpg]](https://www.plantopedia.com/wp-content/uploads/2017/01/hedera-helix-n4.jpg)
