Archives Aug. 18, 2014

Seem to need hidden-markov-models for text extraction...

So in order to "seed" listener with text-as-it-would-be-spoken for coding, I've built up a tokenizer that will parse through a file and attempt to produce a model of what would have been said to dictate that text. The idea being that we want to generate a few hundred megabytes of sample statements that can then be used to generate a "python coding" or "javascript coding" language model. Thing is, this is actually a pretty grotty/nasty problem, particularly dealing with "run together" words, such as `asstring` or `mkdtemp`. You can either be very strict, and only allow specifically defined ...

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