The most basic of embedding (that I can think of) is one where the number of dimensions corresponds to the number of unique characters in your lexicon. If there is a number in one of the components of your embedding that is greater than "0", then you know what characters they are. This embedding does not encode the order of the characters, though. They are just a "bag of characters". If you were to then also encode the order of the characters in, say, yet another embedding, you could use those two embeddings to recreate the original word.

Combine the two embeddings into a new vector space and BAM, you've invented "embedding2word".