[Article] Voynich2Vec: Using FastText Word Embeddings for Voynich Decipherment

[Torsten]

I would have liked to have seen data similar to Table 1 from a text we knew the meaning. 

The codebase together with more images is available at You are not allowed to view links. Register or Login to view..

There are also graphs for texts with meaning: You are not allowed to view links. Register or Login to view., You are not allowed to view links. Register or Login to view. and You are not allowed to view links. Register or Login to view. (the analyzed texts can be found You are not allowed to view links. Register or Login to view.).

They say that the program does more than just link words that are spelled similarly - but there’s nothing in the data presented that shows me anything more than that.

Other researchers describe similar results:

"As a general characteristic for all the clusters shown, the words that are more strongly connected have an evident morphological similarity." (You are not allowed to view links. Register or Login to view.)

"The closer two words are (with respect to their edit distance), the more likely these words also can be found written in close vicinity (i.e. on the same page)" (You are not allowed to view links. Register or Login to view.).

But assuming that the program is more than a fancy way to match similar looking words, what do these results mean for the Voynich?  That every single pair of linked words look so similar to each other? 

There is also a You are not allowed to view links. Register or Login to view. for word clusters and a whole You are not allowed to view links. Register or Login to view. of words.