Natural Language Processing Books - Page 6

Voice Recognition (Artech House Telecommunications Library)

Richard L. Klevans, Robert D. Rodman

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Customer Reviews:
Total reviews: 1 Average rating: 4.0 of 5

Voice Recognition theory and application 4 out of 5 stars.
0 of 0 people found this review helpful.

Klevans and Rodman did an excellent job at presenting the theory and application of voice recognition. The book goes into just the right amount of detail that a subject of this nature requires. Also, various models and techniques for dealing with speech recognition were explored, with the pros and cons of each carefully stated. It was certainly a pleasure to have read this book, and the new ideas/techniques that were presented, have influenced me to further my research in speech recognition.

Editorial Review:

Here's a scientific look at computer-generated speech verification and identification -- its underlying technology, practical applications, and future direction. This book provides a solid background in voice recognition technology and enables informed decision-making on how to select the most appropriate voice recognition-based software for a particular company or organization. It provides clear explanations of mathematical concepts, as well as a full-chapter presentation of the successful new Multi-Granular Segregating System for accurate, context-free speech identification.

Page after page of actual case studies and experimental results supported by clear, easy-to-follow charts and graphs explain the technology behind voice recognition systems, describe the advantages and disadvantages of the available systems, and show the benefits and limitations of forensic voice recognition technology.

The Foundations of Artificial Intelligence: A Sourcebook

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Editorial Review:

Addressing the fundamental issues or principles underlying the task of Artificial Intelligence, the editors have selected not only papers now recognized as classics but also many specially commissioned papers that together examine the methodological and theoretical foundations of the discipline from a wide variety of perspectives: computer science and software engineering, cognitive psychology, philosophy and formal logic, and linguistics. Carefully planned and structured, the volume as a whole tackles many of the contentious questions of immediate concern to AI researchers and interested observers. The comprehensiveness of this collection is further enhanced by the full, annotated bibliography.

Finite-State Language Processing (Language, Speech, and Communication)

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Editorial Review:

Finite-state devices, which include finite-state automata, graphs, and finite-state transducers, are in wide use in many areas of computer science. Recently, there has been a resurgence of the use of finite-state devices in all aspects of computational linguistics, including dictionary encoding, text processing, and speech processing. This book describes the fundamental properties of finite-state devices and illustrates their uses. Many of the contributors pioneered the use of finite-automata for different aspects of natural language processing. The topics, which range from the theoretical to the applied, include finite-state morphology, approximation of phrase-structure grammars, deterministic part-of-speech tagging, application of a finite-state intersection grammar, a finite-state transducer for extracting information from text, and speech recognition using weighted finite automata. The introduction presents the basic theoretical results in finite-state automata and transducers. These results and algorithms are described and illustrated with simple formal language examples as well as natural language examples.

Contributors: Douglas Appelt, John Bear, David Clemenceau, Maurice Gross, Jerry R. Hobbs, David Israel, Megumi Kameyama, Lauri Karttunen, Kimmo Koskenniemi, Mehryar Mohri, Eric Laporte, Fernando C. N. Pereira, Michael D. Riley, Emmanuel Roche, Yves Schabes, Max D. Silberztein, Mark Stickel, Pasi Tapanainen, Mabry Tyson, Atro Voutilainen, Rebecca N. Wright.

Language, Speech, and Communication series

Anaphora in Natural Language Understanding: A Survey (Lecture Notes in Computer Science)

G. Hirst

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New Developments in Parsing Technology

H. Bunt

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Editorial Review:

Parsing can be defined as the decomposition of complex structures into their constituent parts, and parsing technology as the methods, the tools, and the software to parse automatically. Parsing is a central area of research in the automatic processing of human language. Parsers are being used in many application areas, for example question answering, extraction of information from text, speech recognition and understanding, and machine translation. New developments in parsing technology are thus widely applicable.

This book contains contributions from many of today's leading researchers in the area of natural language parsing technology. The contributors describe their most recent work and a diverse range of techniques and results. This collection provides an excellent picture of the current state of affairs in this area. This volume is the third in a series of such collections, and its breadth of coverage should make it suitable both as an overview of the current state of the field for graduate students, and as a reference for established researchers.

Natural Language Processing for Prolog Programmers

Michael A. Covington

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Customer Reviews:
Total reviews: 1 Average rating: 4.0 of 5

One of the best intros to NLP 4 out of 5 stars.
6 of 6 people found this review helpful.

This book, while a bit dated, is still the best discussion of a wide variety of (nonstatistical) parsing methods in print. The best part of this book is the table on p. 191, where the author compares the runtimes of the various parsing algorithms, and shows that the one with the scariest "big O" complexity is actually the fastest in practice. This is a very important lesson to impart to budding computer scientists: use "big O" analysis wisely, not as the voice of God, as to which algorithm is the best practical algorithm.

I've given this book 4 stars instead of 5 stars because it is a little out of date: look elsewhere for the best discussions of quantifier scope handling and discourse. Also, it doesn't contain any discussions on the what is today the more fashionable statistical-based approaches, but the jury is still out, IMHO, on whether this is a drawback or not.

Natural Language Processing and Knowledge Representation: Language for Knowledge and Knowledge for Language

Lucja M. Iwanska

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Editorial Review:

Natural language (NL) refers to human language—complex, irregular, diverse, with all its philosophical problems of meaning and context. Setting a new direction in AI research, this book explores the development of knowledge representation and reasoning (KRR) systems that simulate the role of NL in human information and knowledge processing.

Traditionally, KRR systems have incorporated NL as an interface to an expert system or knowledge base that performed tasks separate from NL processing. As this book shows, however, the computational nature of representation and inference in NL makes it the ideal level for all tasks in an intelligent computer system. NL processing combines the qualitative characteristics of human knowledge processing with a computer's quantitative advantages, allowing for in-depth, systematic processing of vast amounts of information. The essays in this interdisciplinary book cover a range of implementations and designs, from formal computational models to large-scale NL processing systems.

Contributors:
Syed S. Ali, Bonnie J. Dorr, Karen Ehrlich, Robert Givan, Susan M. Haller, Sanda Harabagiu, Chung Hee Hwang, Lucja Iwanska, Kellyn Kruger, Naveen Mata, David A. McAllester, David D. McDonald, Susan W. McRoy, Dan Moldovan, William J. Rapaport, Lenhart Schubert, Stuart C. Shapiro, Clare R. Voss.

Removing the Spam: Email Processing and Filtering (Addison-Wesley Networking Basics Series)

Geoff Mulligan

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Total reviews: 10 Average rating: 4.5 of 5

Editorial Review:

Written for network and system administrators, this concise, practical
guide offers step-by-step instructions for installing and configuring an
effective email system for your organization. The specific book focus is
on the growing problem of spam--unwanted electronic junk mail. This
book shows how to utilize mail-filtering tools and techniques to keep your
system and users as spam-free as possible.

Centered around real-world problems and issues, Removing the Spam
will save you hours of frustration as you get your email system up and
running. You will find in-depth coverage of major email systems and
subsystems--sendmail, Procmail, Majordomo, and SmartList--and
essential information about the following:

How to stop spam at the mail server and user levels
The most simple and effective way of generating the sendmail configuration file
Maintaining your sendmail configuration
Building and managing simple sendmail aliases and filters
Virtual domains
Filtering and sorting mail with Procmail
Procmail recipe files
Creating and administrating automated and manual mailing lists with Majordomo and SmartList
How to spot and combat mailing list abuse by spammers and list terrorists

The book's numerous practical examples (compatible with Solaris and
FreeBSD) include controlling the procmailrc file, sorting mail, working
with auto-responders, and many others.

With this book you will be well equipped to install and run an efficient
email system that won't be overrun by spam.

Voice Application Development with VoiceXML

Rick Beasley, Kenneth Michael Farley, John O'Reilly, Leon Squire, Kenneth Farley

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Customer Reviews:
Total reviews: 2 Average rating: 3.5 of 5

Not what I was looking for. 2 out of 5 stars.
9 of 10 people found this review helpful.

This book isn't a good book to use if you're looking to develop VoiceXML applications. This book delves too far into proper software engineering and doesn't give enough information about the VoiceXML standard (doesn't touch vxml 2.0). I wish I would have purchased the wrox version that covers voiceXML.

Top notch 5 out of 5 stars.
5 of 9 people found this review helpful.

This is an outstanding book with useful information and clear explanations. It doesn't just cover the VoiceXML spec but also shows you how to use it in IVR-replacement systems and other real applications. If you really need to build stuff with voicexml then you need this book. You can tell in reading the book that these authors have *actually done* voice application development and aren't just guessing at how it ought to work. I'm looking forward to the online voicexml 2.0 appendix, too.

Editorial Review:

VoiceXML represents the cutting-edge of the wireless Web revolution, enabling a speech-based integration with the Internet. Web marketing and information services will become speech-enabled to maximize the user experience and VoiceXML is the technology that makes it possible.

The Harmonic Mind: From Neural Computation to Optimality-Theoretic GrammarVolume I: Cognitive Architecture (Bradford Books)

Paul Smolensky, Géraldine Legendre

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Editorial Review:

Despite their apparently divergent accounts of higher cognition, cognitive theories based on neural computation and those employing symbolic computation can in fact strengthen one another. To substantiate this controversial claim, this landmark work develops in depth a cognitive architecture based in neural computation but supporting formally explicit higher-level symbolic descriptions, including new grammar formalisms.

Detailed studies in both phonology and syntax provide arguments that these grammatical theories and their neural network realizations enable deeper explanations of early acquisition, processing difficulty, cross-linguistic typology, and the possibility of genomically encoding universal principles of grammar. Foundational questions concerning the explanatory status of symbols for central problems such as the unbounded productivity of higher cognition are also given proper treatment.

The work is made accessible to scholars in different fields of cognitive science through tutorial chapters and numerous expository boxes providing background material from several disciplines. Examples common to different chapters facilitate the transition from more basic to more sophisticated treatments. Details of method, formalism, and foundation are presented in later chapters, offering a wealth of new results to specialists in psycholinguistics, language acquisition, theoretical linguistics, computational linguistics, computational neuroscience, connectionist modeling, and philosophy of mind.