A word in a given language is a representation of a word meaning. If you invent another representation, like a vector input into a neural network, you've just i

A word in a given language is a representation of a word meaning. If you invent another representation, like a vector input into a neural network, you've just invented one more language. The neural network will come up with its own internal meanings for words after reading lots and lots of input data. There are papers on "zero-shot" tests, where a network trained to translate languages A to B and B to C can do A to C without additional data because it maps the meanings of similar words in the different languages the same way.