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by YeGoblynQueenne
2622 days ago
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Personally, I started with Eugene Charniak's Statistical Language Learning [1] then continued with Manning and Schütze's Foundations of Statistical Natural Language Processing [2] and Speech and Language Processing by Jurafsky and Martin [3]. The Charniak book is primarily about HMMs and quite short, so it's the best introduction to the subject. Manning and Schütze and Jurafsky and Martin are much more extensive and cover pretty much all of statistical NLP up to their publication date (so no LSTMs if I remember correctly) but they are required reading for an in-depth approach. You will definitely want to go beyond HMMs at some point, so you will probably want the other two books. But, if you really just want to know about HMMs, then start with the Charniak. ______________ [1] https://mitpress.mit.edu/books/statistical-language-learning [2] https://nlp.stanford.edu/fsnlp/ [3] https://web.stanford.edu/~jurafsky/slp3/ |
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