15-11-2025, 01:56 PM
The spaces in the Voynich give a superficial pattern. But the model takes as input the text without spaces or line breaks and identifies morphemes. These appear with internal consistency, showing stable distributions and transitions.
These morphemes group together and separate in ways that do not always match the spaces (we could have a morpheme created from the end of one word and the beginning of the next). With the model, a single “word” can be divided into different morphemes depending on its surrounding context. This seems to indicate that the real structure of the text is richer than the simple sequence of “characters up to a space.”
The model detects units that repeat reliably and behave like self-contained blocks. I believe the model can indeed provide a different perspective on word creation based on the morphemes it finds.
These morphemes group together and separate in ways that do not always match the spaces (we could have a morpheme created from the end of one word and the beginning of the next). With the model, a single “word” can be divided into different morphemes depending on its surrounding context. This seems to indicate that the real structure of the text is richer than the simple sequence of “characters up to a space.”
The model detects units that repeat reliably and behave like self-contained blocks. I believe the model can indeed provide a different perspective on word creation based on the morphemes it finds.