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Re:Bling Fire: Finite state machine and regular expression m... by sergeio76 on Thursday April 18, 2019 @10:00AM (#19691043)
Maybe you are right from theoretical point of view, however 1.latency at inference time may be an overkill, 2.look at success of fasttext model from Facebook, it computes vectors for words and ngrams! as well. What you will have to learn with layers and filters this model memorizes. It trains faster hence you can feed huge training data, it runs fast as well.
Re:Bling Fire: Finite state machine and regular expression m... by misterman0 on Thursday April 18, 2019 @04:20PM (#19694427)
Perhaps I'm mistaken because I thought blingfire was mostly a tokenizer. But now I realize it might also be a language model.

How are tokens/phrases/documents represented, computationaly? Theoretically, do they live in a vector space?