GPT Models Fail to Find Language Structure in the Voynich Manuscript

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Google Drive says I don't have permission to read that link.

From the Voynichese output that you quoted, it seems that many word spaces are missing.  I suppose they were marked with comma ("possible space") instead of period in the original file. (Or, sadly,not marked at all: it looks like the Scribe sometimes ran words together by accident.)  Would you consider trying again with periods and commas treated as word separators?

OK, now you should have access. Let me explain the content of the files: the output is a GPT generated text with words separated by a dot. In the html, each bigram is analyzed separately. For example, for the first line of the quoted image: 

- the GPT output was: sharo.ydy.cheal.omororom.chol.pcheo.olkaim
- in the htm file, you will see bigram by bigram (or trigram by trigram), this is sharo.ydy ydy.cheal cheal.omororom omororom.chol chol.pcheo pcheo.olkaim
- these bigrams are compared against the original corpus and highlighted in green if they appear in the exact same order, or in red if they do not (i.e., the two words never occur together in that order in the original text).
- the GPT does not create new words, all words are valid ones. The creation of new words is studied in another thread, where I trained GPT character by character.

I hope it makes sense to you.

Regards