(31-01-2020, 01:56 PM)Torsten wrote: You are not allowed to view links. Register or Login to view.The article covers "the strange lack for parallel context surrounding different occurrences of the same word." (D'Imperio 1978, p. 30)
The method used in the paper depends on punctuation. But this only means that the paper underrates context dependency in the case of texts using natural languages. In the case of the VMS no punctuation exists. Therefore, the handling of punctation doesn't do any harm.
It could be that it is as you say, yet it would be nice to have a way of computing plots that so cleanly separate Voynichese from other texts. If we could reproduce their results, we could also experiment with other texts with no punctuation and verify that this really is irrelevant. My preliminary attempts (using the networkx Python library) are not being very successful: in particular, scrambled texts appear to result in higher mean clustering C than original texts, while in the paper the opposite happens. I guess I must have misunderstood or mis-implemented their graph-scrambling method or some other side of what they did. I will be unable to work on this for a few days, but I could resume my attempts in the future.