A paper I was reading, http://www.cs.toronto.edu/~ilya/pubs/2011/LANG-RNN.pdf, uses bits per character as a test metric for estimating the quality of generative computer models of text but doesn't reference how it was calculated. Googling around, I can't really find anything about it.

Does anyone know how to calculate it? Python preferably, but pseudo-code or anything works. Thanks!

python algorithm machine-learning nlp entropy
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