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Author: Pierre M. Nugues
Publisher: Springer
ISBN: 3642414648
Category : Computers
Languages : en
Pages : 675
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Book Description
The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications. This book teaches the principles of natural language processing, first covering practical linguistics issues such as encoding and annotation schemes, defining words, tokens and parts of speech and morphology, as well as key concepts in machine learning, such as entropy, regression and classification, which are used throughout the book. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques, using Prolog to write phase-structure grammars, syntactic formalisms and parsing techniques, semantics, predicate logic and lexical semantics and analysis of discourse and applications in dialogue systems. A key feature of the book is the author's hands-on approach throughout, with sample code in Prolog and Perl, extensive exercises, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs and additional material. The second edition is a complete revision of the techniques exposed in the book to reflect advances in the field the author redesigned or updated all the chapters, added two new ones and considerably expanded the sections on machine-learning techniques.
Author: Pierre M. Nugues
Publisher: Springer
ISBN: 3642414648
Category : Computers
Languages : en
Pages : 675
Get Book Here
Book Description
The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications. This book teaches the principles of natural language processing, first covering practical linguistics issues such as encoding and annotation schemes, defining words, tokens and parts of speech and morphology, as well as key concepts in machine learning, such as entropy, regression and classification, which are used throughout the book. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques, using Prolog to write phase-structure grammars, syntactic formalisms and parsing techniques, semantics, predicate logic and lexical semantics and analysis of discourse and applications in dialogue systems. A key feature of the book is the author's hands-on approach throughout, with sample code in Prolog and Perl, extensive exercises, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs and additional material. The second edition is a complete revision of the techniques exposed in the book to reflect advances in the field the author redesigned or updated all the chapters, added two new ones and considerably expanded the sections on machine-learning techniques.
Author: Pierre M. Nugues
Publisher: Springer Science & Business Media
ISBN: 3540343369
Category : Computers
Languages : en
Pages : 524
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Book Description
This book teaches the principles of natural language processing and covers linguistics issues. It also details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques. A key feature of the book is the author's hands-on approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog. The book is suitable for researchers and students of natural language processing and computational linguistics.
Author: Patrick Blackburn
Publisher:
ISBN: 9781904987178
Category : Computers
Languages : en
Pages : 265
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Book Description
Prolog is a programming language, but a rather unusual one. Prolog'' is short for Programming with Logic'', and the link with logic gives Prolog its special character. At the heart of Prolog lies a surprising idea: don't tell the computer what to do. Instead, describe situations of interest, and compute by asking questions. Prolog will logically deduce new facts about the situations and give its deductions back to us as answers. Why learn Prolog? For a start, its say what the problem is, rather than how to solve it'' stance, means that it is a very high level language, good for knowledge rich applications such as artificial intelligence, natural language processing, and the semantic web. So by studying Prolog, you gain insight into how sophisticated tasks can be handled computationally. Moreover, Prolog requires a different mindset. You have to learn to see problems from a new perspective, declaratively rather than procedurally. Acquiring this mindset, and learning to appreciate the links between logic and programming, makes the study of Prolog both challenging and rewarding. Learn Prolog Now! is a practical introduction to this fascinating language. Freely available as a web-book since 2002 (see www.learnprolognow.org) Learn Prolog Now! has became one of the most popular introductions to the Prolog programming language, an introduction prized for its clarity and down-to-earth approach. It is widely used as a textbook at university departments around the world, and even more widely used for self study. College Publications is proud to present here the first hard-copy version of this online classic. Carefully revised in the light of reader's feedback, and now with answers to all the exercises, here you will find the essential material required to help you learn Prolog now.
Author: Fernando C. N. Pereira
Publisher: Microtome Publishing
ISBN: 0971977704
Category : Computers
Languages : en
Pages : 262
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Book Description
Author: Christopher Manning
Publisher: MIT Press
ISBN: 9780262133609
Category : Language Arts & Disciplines
Languages : en
Pages : 722
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Book Description
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.
Author: Randal Schwartz
Publisher: "O'Reilly Media, Inc."
ISBN: 1449303587
Category : Computers
Languages : en
Pages : 389
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Book Description
The sixth edition of this bestselling Perl tutorial includes recent changes to the language. Years of classroom testing and experience helped shape the book's pace and scope, and this edition is packed with exercises that let readers practice the concepts while they follow the text.
Author: Victoria Fromkin
Publisher: Cengage AU
ISBN: 0170450066
Category :
Languages : en
Pages : 48
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Book Description
An Introduction to Language introduces students to the fascinating study of human language. Engagingly and clearly written, it provides an overview of the key areas of linguistics from an Australian perspective. Unique to this text, the International Phonetic Alphabet is represented by both HCE and MD versions, allowing lecturers to use whichever IPA system they prefer. Premium online teaching and learning tools are available on the MindTap platform. Learn more about the online tools au.cengage.com/mindtap
Author: William F. Clocksin
Publisher: Springer Science & Business Media
ISBN: 3642970052
Category : Computers
Languages : en
Pages : 294
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Book Description
We have added new material to Chapter 3 to give an account of up-to-date programming techniques using accumulators and difference structures. Chapter 8 contains some new information on syntax errors. Operator precedences are now compatible with the most widely-used implementations. We have made further reorganisations and improvements in presentation, and have corrected a number of minor errors. We thank the many people who brought typographical errors in the previous edition to our attention, and we thank A.R.C. for careful proofreading. Cambridge, England W.F.C. January,1987 C.S.M. PREFACE TO THE SECOND EDITION (1984) Since the first publishing of Programming in Prolog in 1981, Prolog has continued to attract an unexpectedly great deal of interest in the computer science community and is now seen as a potential basis for an important new generation of programming languages and systems. We hope that Programming in Prolog has partially satisfied the increasing need for an easy, yet comprehensive introduction to the language as a tool for practical programming. In this second edition we have taken the opportunity to improve the presentation and to correct various minor errors in the original. We thank the many people who have given us suggestions for corrections and improvement. Cambridge, England W.F.C.
Author: Michael A. Covington
Publisher:
ISBN:
Category : Natural language processing (Computer science).
Languages : en
Pages : 376
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Book Description
An examination of natural language processing in Prolog for those who know Prolog but not linguistics, this book enables students to move quickly into writing and working in useful software. It features many working computer programs that implement subsystems of a natural language processor. These programs are designed to be understood in isolation from one another and are compatible with an Edinburgh-compatible Prolog implementation, such as Quintus, ESL, Arity and ALS.
Author: Arvind Kumar Bansal
Publisher: CRC Press
ISBN: 1466565152
Category : Computers
Languages : en
Pages : 606
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Book Description
In programming courses, using the different syntax of multiple languages, such as C++, Java, PHP, and Python, for the same abstraction often confuses students new to computer science. Introduction to Programming Languages separates programming language concepts from the restraints of multiple language syntax by discussing the concepts at an abstrac
