24-04-2017, 01:32 AM
(This post was last modified: 24-04-2017, 02:26 AM by DonaldFisk.)
(24-04-2017, 12:23 AM)Torsten wrote: You are not allowed to view links. Register or Login to view.I think we are talking about different features. It is indeed not possible to say which words will follow each other (see You are not allowed to view links. Register or Login to view.). In this way words in the VMS are not used like words in a natural language. On the other hand we have effects like the one described by Currier: "Words ending in the [y] sort of symbol, which is very frequent, are followed about four times as often by words beginning with [qo]" (You are not allowed to view links. Register or Login to view.). We have also the effects like words starting with a certain glyph or ending with a certain glyph are preferred at the start or end of a line. This features would fit with a meaningless text since it is possible to describe patterns for the usage of glyphs but not for the usage of words.
Yes, you're right about y-qo occurring more often than you'd expect by chance, so I've updated my page on You are not allowed to view links. Register or Login to view.. That was drowned out in the noise. I think it could still be handled by a state machine, with transitions from the final glyph state to the initial glyph state.
Quote:You assumed different transition tables for each part of the manuscript. How can your transition table or tables result in a steady change over time? How do you simulate the effect that similar words do co-occur on the same pages? Did you suggest that a different transition table was used for each page?
The probabilities in the tables change by small amounts from one page cluster to the nearest one.
Quote:You say more then that the text has been generated by a stochastic process rather than by encoding or encryption of language. You say that the text has been "generated randomly using state transition diagrams" (see You are not allowed to view links. Register or Login to view.). If this is the case why the position of a word has some effect to the glyphs used for hat word?
I suggested solving this by a preprocessing step.

