baumhaus.digital/Art, Cognition, Education/Introduction to linguistics: From पाणिनि to Čepeto/5. As a large language model .../The turning point/Geometrization of meaning
Even entities like "word meanings" or "concepts" can be geometrically represented, either as points, vectors or sub-spaces of the enveloping vector space S.
One can subsequently measure "distances" and "angles" between such representations, e.g. distance of the meaning of theword "dog" from the meaning of "wolf" or "cat" etc.
Geometrization of one’s data-set once effectuated, space S can be subsequently partitioned into a set R of |C| regions R = R1, R2, ..., R|C| etc.
(Prolegomena Paedagogica, page 265)