Foundations of Statistical Natural Language Processing by Hinrich Schuetze - Presentation Transcript
Foundations of Statistical Natural
Language Processing by Hinrich
Schuetze
Self-Contained And Instructive, Read The Toc First!
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
Personal Review: Foundations of Statistical Natural Language
Processing by Hinrich Schuetze
Compared to the slightly overrated Jurafsky and Martin's classic, this book
aims less targets but hits them all more precisely, completely and
satisfactory for the reader. That is, just to give you an idea on what to
expect, instead of attacking 200 problems on 2 pages each, this book
attacks only 40 problems on 10 pages each.
So, read the TOC before you buy the book: if you find your topics there,
you're done, you are saved, buy it and be happy. In contrast, you can buy
Jurafsky's book without caring to read the TOC: your problem is likely to be
mentioned there but it's quite unlikely to be detailed enough to satisfy you.
Some introductory chapters take too much space and some advanced
topics are missing. But the book is actually named "Foundations of..." so it
seems to deliver precisely what it promisses, which is a precious and rare
accomplishment by itself. I recommend this book.
For More 5 Star Customer Reviews and Lowest Price:
Foundations of Statistical Natural Language Processing by Hinrich Schuetze 5 Star
Customer Reviews and Lowest Price!
Compared to the slightly overrated Jurafsky and Mar more
Compared to the slightly overrated Jurafsky and Martin's classic, this book aims less targets but hits them all more precisely, completely and satisfactory for the reader. That is, just to give you an idea on what to expect, instead of attacking 200 problems on 2 pages each, this book attacks only 40 problems on 10 pages each.
So, read the TOC before you buy the book: if you find your topics there, you're done, you are saved, buy it and be happy. In contrast, you can buy Jurafsky's book without caring to read the TOC: your problem is likely to be mentioned there but it's quite unlikely to be detailed enough to satisfy you.
Some introductory chapters take too much space and some advanced topics are missing. But the book is actually named "Foundations of..." so it seems to deliver precisely what it promisses, which is a precious and rare accomplishment by itself. I recommend this book. less
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