Click on a thumbnail to go to Google Books.
Loading... Foundations of Statistical Natural Language Processingby Christopher D. Manning, Hinrich Schütze
Loading...
Sign up for LibraryThing to find out whether you'll like this book. No current Talk conversations about this book. Along with Speech and Natural Language Processing by Jurafsky and Martin, this is the standard book on using probabilistic methods to analyze natural language. It has clear discussions of such core areas as N-gram language modeling, parsing, part of speech tagging, and information retrieval. The exceptionally lucid chapter on Hidden Markov Models is worth the price of the book alone. This is the best introductory textbook for newcomers and a useful reference for everyone else. Essential. ( ) no reviews | add a review
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. No library descriptions found. |
Current DiscussionsNone
Google Books — Loading... GenresMelvil Decimal System (DDC)410.285Language Linguistics Linguistics MiscellanyLC ClassificationRatingAverage:
Is this you?Become a LibraryThing Author. |