Very nice course that talks about language models (e.g, n-gram) and parser (e.g. probablistic context-free grammar and CYK parsing algorithm) and how to implements algorithms for various NLP tasks such as POS tagging, named entity recognition, sentence and phrase chunking (e.g., HMM, log linear model, global linear model), language translation (e.g. IBM models and phrase-based models).
https://www.coursera.org/course/nlangp
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