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Foundations of Statistical Natural Language Processing Christopher D. Manning, Hinrich Schuetze
Publisher: MIT

The book contains all the theory and algorithms. BEA 2013 : The 8th Workshop on the Innovative Use of NLP for Building Educational Applications. Recently I was looking into making my NLP knowledge more solid and I found this book by reference: Foundations of Statistical Natural Language Processing . We used the open source NLTK version 2.0 with Python version 2.6 (Python Software Foundation, Wolfeboro Falls, NH, USA) to analyze preprocessed text. Innovative NLP techniques - statistical, rule-based, or most commonly, a combination of the two. Foundations of Statistical Natural Language Processing: http://www.amazon.com/dp/0262133601/. Related Books: Natural Language Processing. Read Peter Norvig's review for Foundations of .http://www.amazon.com/review/R3GSYXSKRU8V17/. It's a classic book and certainly it was a good read. Foundation (DFG), university funds and industry grants. Text Books: “Foundations of Statistical Natural Language Processing” by Manning & Schütze; Natural Language understanding by James Allen, Pearson Education. Semantics Oriented Natural Language Processing: Mathematical Models. New technologies have made it possible to include speech in both assessment and Intelligent Tutoring Systems (ITS).