"Statistical natural-language processing is, in my estimation, one of  the most fast-moving and exciting areas of computer science these days.  Anyone who wants to learn this field would be well advised to get this  book. For that matter, the same goes for anyone who is already in the  field. I know that it is going to be one of the most well-thumbed books  on my bookshelf." -- Eugene Charniak, Department of Computer Science,  Brown University    Statistical approaches to processing natural language text have become  dominant in recent years. This foundational text is the first  comprehensive introduction to statistical natural language processing  (NLP) to appear. The book contains all the theory and algorithms needed  for building NLP tools. It provides broad but rigorous coverage of  mathematical and linguistic foundations, as well as detailed discussion  of statistical methods, allowing students and researchers to construct  their own implementations. The book covers collocation finding, word  sense disambiguation, probabilistic parsing, information retrieval, and  other applications.    More on this book

Foundations of Statistical Natural Language Processing PDF

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