Vord paradigm tool

[Juan_Sali]

I'm less sure about transitional probability matrices being able to account for the patterns exposed by slot-based word morphologies.  But I wouldn't rule out that they could.

A while ago I calculated matrices for each bigram in Currier B (e.g., what the next single glyph would be after each pair of glyphs, such as [k] after [qo]) and generated some text randomly based on them.  Of course I had to make some working assumptions about what a "glyph" is, all of which are open to challenge, and I don't think analysis of preceding bigrams goes deep enough.  But the results, which I may have quoted here before, came out looking like this (with spaces inserted between any two glyphs that are more often separated by a space than not):

To make an analisys of bigrams within vords I took data from You are not allowed to view links. Register or Login to view.
 I made the following matrix:

  abc natrix.xls (Size: 38.5 KB / Downloads: 24)
I expanded the analisys for some of the most common bigrams in the search of common trigrams with the idea of recreate a system based of monograms, bigrams and trigrams, and in the future also test the posibility of a homophonic cipher based on them, but it is off-topic for this thread.
The matrix gives a global vision and it is easy to see the most common bigrams, the preferences of some glyphs to be in first position in a igram or in second position ...