"Statistical naturallanguage processing is, in my estimation, one of
the most fastmoving 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
wellthumbed 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
