GPT Models Fail to Find Language Structure in the Voynich Manuscript

[quimqu]

Some Latin text without repetitiveness inherent to the genre or style may score very low in your system, since all the little grammatical words are expressed grammatically.

Thank you — that’s a very useful distinction. It would indeed explain why Psalmum David yields such low bigram/trigram matches despite being coherent Latin. Its morphological structure likely reduces surface-level repetition, making it harder for the model to detect sequential patterns.

This also makes me wonder: are you suggesting that Voynichese might behave similarly because it encodes something like a “morphologically rich” or non-repetitive learned language — perhaps even analogous to medieval Latin?