20-09-2019, 11:59 AM
Hi Koen,
I believe that your approach of repeatedly shuffling and taking the average values should allow you to get reliable results also with shorter texts.
I guess that, if you check 10,000-words samples, Timm's generated text will again be close to Q13. The higher TTR and entropy of the whole VMS are likely due to the fact that it is made of different sections, with apparently different subjects and "languages" (in Currier's sense), while Timm's text is uniform (it was created by a single execution of his software).
I believe that your approach of repeatedly shuffling and taking the average values should allow you to get reliable results also with shorter texts.
I guess that, if you check 10,000-words samples, Timm's generated text will again be close to Q13. The higher TTR and entropy of the whole VMS are likely due to the fact that it is made of different sections, with apparently different subjects and "languages" (in Currier's sense), while Timm's text is uniform (it was created by a single execution of his software).


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