About the book
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.
Editions of Foundations of Statistical Natural Language Processing
- Hardcover
- ISBN 9780262133609
- EBook
- ISBN 9780262303798
- EBook
- ISBN 9780262312127
- EBook
- ISBN 9780262312134
Read an Excerpt
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.
Frequently Asked Questions
What is Foundations of Statistical Natural Language Processing about?
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.
What core themes, tropes, or subjects are explored in Foundations of Statistical Natural Language Processing?
Language and Linguistics > Linguistics
Where can I read a sample of Foundations of Statistical Natural Language Processing?
You can read an official preview of the few pages here https://www.book2look.com/book/9780262133609
Who is/are the Author/s of the book Foundations of Statistical Natural Language Processing?
Christopher Manning, Hinrich Schutze
Who is the Publisher of the book Foundations of Statistical Natural Language Processing?
MIT Press
What are the ISBN numbers for the physical and digital editions?
Foundations of Statistical Natural Language Processing is available as hardcover(ISBN 9780262133609) and ebook(ISBN 9780262303798) and ebook(ISBN 9780262312127) and ebook(ISBN 9780262312134)
Where can I buy Foundations of Statistical Natural Language Processing online or support local independent bookshops?
You can buy Foundations of Statistical Natural Language Processing from below
Where can I buy Foundations of Statistical Natural Language Processing?