This is very interesting. You should post a link to https://www.voynich.ninja/index.php

I'm not familiar with SBERT, or with modern statistical NLP in general, but SBERT works on sentences, and there are no obvious sentence delimiters in the Voynich Manuscript (only word and paragraph delimiters). One concern I have is "Strips common suffixes from Voynich words". Words in the Voynich Manuscript appear to be prefix + suffix, so as prefixes are quite short, you've lost roughly half the information before commencing your analysis.

You might want to verify that your method works for meaningful text in a natural language, and also for meaningless gibberish (encrypted text is somewhere in between, with simpler encryption methods closer to natural language and more complex ones to meaningless gibberish). Gordon Rugg, Torsten Timm, and myself have produced text which closely resembles the Voynich Manuscript by different methods. Mine is here: https://fmjlang.co.uk/voynich/generated-voynich-manuscript.h... and the equivalent EVA is here: https://fmjlang.co.uk/voynich/generated-voynich-manuscript.t...