Foundations of Statistical Natural Language Processing
A Nonfiction, Science, Humanities book. Currently it's a bit tough for me to read because I haven't formally studied logic or statistics... but a well...
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...
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- Filetype: PDF
- Pages: 620 pages
- ISBN: 9780262133609 / 262133601
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More About Foundations of Statistical Natural Language Processing
This 1999 book does a good job of explaining the different areas of statistical NLP. It was easy to read and very clear, even the formula-heavy sections. The sections on collocations (multi-word phrases) and verb subcategorization were largely new to me.The problems that natural-language research has faced are similar to the ones computer... This and Speech and Language Processing by Jurafsky and Martin are the two big introductory texts in natural language processing. I prefer the Jurafsky book; it goes into more detail, has more examples, and is written more for use as a class text. The Manning and Schutze book is much more mathematically oriented and goes into more detail... Currently it's a bit tough for me to read because I haven't formally studied logic or statistics... but a well written book
