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Authors:
- Daniel Jurafsky
- James H. Martin
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| Manufacturer: Prentice Hall Availability: Usually ships in 24 hours List Price:$115.00 Our Price:$115.00 Authors:
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Needs a second volume which explains the first
I looked for
The a good introduction to NLP, but could be improvedGood oveview, slightly overrated: broad and shallowGood, but many errorsReadable, Rigorous, Thorough and ScholarlyFirst of all, Jurafsky and Martin cover absolutely everything you need to know in order to understand the state of the art systems and to read primary sources such as journals or conference proceedings. You could teach an advanced undergraduate or graduate course by simply tackling it a chapter at a time and discussing everyone's solutions to the exercises. The book is organized by interleaving theoretical topics, such as regular expressions and automata, with practical applications, such as pronunciation modeling or pattern matching. This allows for a fast start on interesting and realistic applications while providing a solid foundation for understanding the field.
Second, the book is not only readable, it's enjoyable. The examples are clever, not cute or forced. The topics flow from one to the next in an almost seamless narrative.
Third, the book is scholarly to the point of lacing pages with references to original sources. Somehow, Jurafsky and Martin have managed to track down fascinating threads such as the development of the currently accepted statistical models for speech recognition.
Fourth, and most amazingly, Jurafsky and Martin manage all of this while maintaining a rigorous standard of definition and example that should be a model to the rest of the field. Terms are defined when they're used or cross-referenced. Algorithms are given in well defined and carefully crafted pseudo-code (using pseudocode neatly leapfrogged two decades of computational linguistics books tied to obscure programming languages). For instance, their definition of CYK parsing is a minimal, elegant nesting of for-loops from which the complexity of the algorithm is self-evident. Speaking of rigor, the book is very well copy edited, typeset, and indexed.
This book isn't the last book you'll need; it's the first. Jurafsky and Martin open the door to the cognitive sciences, including linguistics, psychology and philosophy, and the computer sciences including logic, automata, formal languages, algorithms, and statistical estimation. Not to mention artificial intelligence; all the good problems are AI-complete**, after all, and Jurafsky and Martin don't let you forget it.
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* There were actually several other chapter authors, including Keith Vander Linden on Natural Language Generation, Nigel Ward on Machine Translation, and Andy Kehler on Discourse; it's a tribute to all of them that the book hangs together so well.
** "AI-complete", a term derived from "NP-complete" and "Turing-complete", applies to a problem that is so hard that if you solved it, you could solve any other interesting artificial intelligence problem in terms of the solution to your problem.Most comprehensive introduction to NLP
This book is an exploit for whoever interested in the treatment of
natural language and probably the most complete book on this subject.
It provides a detailed overall picture of the most important aspects
of NLP of the regular expressions to the desambiguisation of
direction, the speech, and machine translation. I like in particular
the bibliographical notes and histories in each chapter, which provide
the context and the one good nombr' historical additional of
references. The book is written and carefully structured well.
However, it contains several idiotic typos (errors of truth-word) who
are a little embarrassing, considering the matter of the book. This
book does not cover the components of material of the voice
recognition. It provides only one introduction to the data-processing
aspects. Nevertheless, I do not think that the title is fallacious
(like the other complaint of criticisms), but back-cover some should
mention that it does not cover the electronic components and of
treatment of the signals of the voice recognition.Excellent Starting Point
This book covers a wide range of speech and liguistics related material and does a very good job in guiding the reader to up to date specialized research in each field.
Obviously, given the enormously ambitious scope, a single book cannot cover any of its areas in depth, but it serves as an ideal starting point for further exploration.
This is not a speech book
This book has a good insurance on NLP but not word. The title is
fallacious.Strong on Theory
This book is strong on the theory, and good for the people who like
that pleasant with the thing. Although it took to me above one week
during a single-sided page to obtain (the free algorithm of grammar of
context of Earley) it, it is a very good algorithm once that I
included/understood it. It explains the majority of the aspects of
this science which are necessary, although it could have entered more
depth on the parts of identification and synthesis. I recommend to buy
this book only if you are very serious about getting information about
this subject, because it is certainly a training session for your
brain.all advanced students in speech science -- don't miss it!
A really fine handbook for the avançés students and researchers. It
could profitably increase orders graduated of acoustic course after my
own texts "of communication of the word: Fundamental principles,
theory of perception of the language and technology ", AllynAn excellent introduction to NLP...
I began the Arrangement of natural language of James Allen of reading
to obtain basic information on a project indepedent of study of NLP.
The book was good, but I always found some points not very clear and
am turned to me towards Jurafsky/Martin for more information. At the
end I found Jurafsky very complete and to put at the ground much more
to the bottom Allen. (they refer useful for popular films and
cultivate them without sacrificing their reputation of academic.) The
work present of the basic concepts of NLP like does it Allen, but then
presents the applications which return continuously to the methods.
For example, Allen explains the algorithm of Viterbi like method to
label sentences. Jurafsky/Martin present it, then are referred to it
in the applications such that the spellchecking, the identification of
voice, and the labelling of sentence. The book is also used as guide
useful to find papers more significant of NLP for more research. If
you are interested by NLP it is an excellent place to be started!A Landmark Book
The previous best book on NLP was James Allen's (1995), which was considered ambitious at the time because it covered syntax, semantics and some pragmatics. But Martin and Jurafsky is far more ambitious, because it covers speech recognition as well, and has far expanded coverage of language generation and translation. It also covers the great advances in statistical techniques that have marked the last decade. It is a beautiful synthesis that will reward the experienced expert in the field with new insights and new connections in the form of historical notes that are not well known. And it is well-written and clear enough that even the beginning student can follow it through. Before this book, you would have had to read Allen's book, Charniak's short book on statistical NLP, something on speech recognition, and something else on generation and translation. Like squeezing clowns into a circus car, Jurafsky and Martin somehow, improbably, manage to squeeze this all into one book, but in a way that is elegant and holds together perfectly; not at all the hodge-podge that one might expect. I expect that this book will be seen as one of the landmarks that pushes the field forward.
It's worth comparing this book to the other recent NLP text: Manning and Shutze. Jurafsky and Martin cover much more ground, including many aspects that are ignored by Manning and Schutze. So if you want a general overview of natural language, if you want to know about the syntax of English, or the intricacies of dialog, if you are teaching or taking a general NLP course, then Jurafsky and Martin is the one for you. But if your needs are more focused on the algorithms for lower-level text processing with statistical techniques, or if you want to build a specific practical application, then Manning and Schutze is far more comprehensive and likely to have your answer. If you're a serious student or professional in NLP, you just have to have both.The Book is a Masterpiece
The book presents an approach complete and easy to use to cover
principal research in the treating field of the natural language and
voice recognition. It mixes theories and applications to show the full
cycle développemental of the data-processing aspect of NLP. It is one
Duty-to have for those which can allow only one book but wish to
practically learn from the aspects of the computational linguistics.The Book is a Masterpiece
The book presents an approach complete and easy to use to cover
principal research in the treating field of the natural language and
voice recognition. It mixes theories and applications to show the full
cycle développemental of the data-processing aspect of NLP. It is one
Duty-to have for those which can allow only one book but wish to
practically learn from the aspects of the computational linguistics.The Book is a Masterpiece
The book presents an approach complete and easy to use to cover
principal research in the treating field of the natural language and
voice recognition. It mixes theories and applications to show the full
cycle développemental of the data-processing aspect of NLP. It is one
Duty-to have for those which can allow only one book but wish to
practically learn from the aspects of the computational linguistics.must buy
It is an excellent text if you what to learn the word and the
linguistic treatment. It gives a complete spectrum extending from the
speech treating with the natural language treating, and the
computational linguistics. I have pleasure really to read this book.A great book for language processing applications!
This book provides an excellent comprehensive text on natural language processing and computational linguistics. I have found this book to be a valuable reference for professionals building language aware applications.
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