21-02-2026, 11:43 PM
I think we can agree that, in the natural languages tested here, the final level of mutual information does not seem to depend strongly on word ordering. When words are shuffled, the curve changes shape, but it tends to converge to a similar final value.
In contrast, in Torsten Timm’s generated text and in the Voynich, the final mutual information appears to depend more on the original word order. When the words are shuffled, the long-distance MI converges to a lower level.
This could suggest that, in these cases, a significant part of the structure is carried by the sequential chaining of words, meaning that each word may depend more directly on the previous one than in typical natural language texts.
We know for sure that Torsten text is from a generative algorithm... If Voynich has the same pattern... can we say it is also artificially generated?
In contrast, in Torsten Timm’s generated text and in the Voynich, the final mutual information appears to depend more on the original word order. When the words are shuffled, the long-distance MI converges to a lower level.
This could suggest that, in these cases, a significant part of the structure is carried by the sequential chaining of words, meaning that each word may depend more directly on the previous one than in typical natural language texts.
We know for sure that Torsten text is from a generative algorithm... If Voynich has the same pattern... can we say it is also artificially generated?