something really interesting about linguistic phenomena is that they often seem to operate on principles of equivalence that are completely contrary to how typical machine learning functions
something really interesting about linguistic phenomena is that they often seem to operate on principles of equivalence that are completely contrary to how typical machine learning functions
in phonology, for instance, we form equivalence classes of sounds on the grounds of not phonetic similarity but rather contextual non-overlappingness. a kind of anti-similarity
one of the core criteria for two phonetic sounds to be equivalent in a language is if those two phonetic sounds have strictly non-overlapping distributions
the more overlap they have, the LESS equivalent they are. similarity = difference