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Rating: 
Summary: Nice little book with 3 well-covered topics
Review: Note that this is a small book (roughly 160 pages of text) so don't expect to find a broad coverage of the field in it. The (only) 3 topics covered in a satisfactory detail are Hidden Markov Models, Probabilistic Grammars and Word Sense Disambiguation.
The first chapter ("The Standard Model") is probably included just for comparison to the statistical model, so it's a bit surprising to find the good coverage of the Chart Parsing there.
If you are interested in some of the 3 topics mentioned above, consider buying this book. Don't forget that it's been written in 1993 (so it's pretty old). For this reason (or maybe others) it is less known than other similar writings in the field, so you may also surprise some of your colleagues with it :-)
Rating:
Summary: Nice little book with 3 well-covered topics
Review: Note that this is a small book (roughly 160 pages of text) so don't expect to find a broad coverage of the field in it. The (only) 3 topics covered in a satisfactory detail are: Hidden Markov Models, Probabilistic Grammars and Word Sense Disambiguation. The first chapter ("The Standard Model") is probably included just for comparison to the statistical model, so it's a bit surprising to find the good coverage of the Chart Parsing there. If you are interested in some of the 3 topics mentioned above, consider buying this book. Don't forget that it's been written in 1993 (so it's pretty old). For this reason (or maybe others) it is less known that other similar writings in the field, so you may also surprise some of your colleagues with it :-)
Rating: 
Summary: Brilliant introduction to the subject
Review: This book is one of the most concise presentations of the subject of natural language processing using statistical theory. It gives a very thorough introduction in the areas of hidden Markov models (HMMs), PCFG (probabilistic context-free grammar) and other related areas, with good coverage of the mathematics behind the theory. There is quite an extensive use of relevant samples, and the bibliography is extensive. It is a very good introduction to this area for professionals and students alike. Juntung Wu University College (University of Oxford) Oxford, England
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