17-page HMM chapter PDF from Jurafsky & Martin's NLP textbook shared
burny_tech · x · 2026-10-26
Kirk Borne shared a 17-page PDF containing the full Hidden Markov Models chapter from the classic NLP textbook Speech and Language Processing by Jurafsky & Martin.
The chapter starts from Markov chains and covers the complete set of HMM algorithms, including the key unsupervised Forward-Backward algorithm, consolidating everything needed for applications like part-of-speech tagging in one self-contained chapter — useful for anyone brushing up on sequence modeling fundamentals.
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