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This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward | Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced | Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of…mehr
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).
Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward
Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced
Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies
Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
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Autorenporträt
Michael L. Clark is the author of The Shimmering Trilogy. This series allows the reader to explore what it might be like to live on the Natchez Trail in the early 1800s. His first two books: The Shimmering and The Diary of Gus Childers left his readers begging for more.A long-time resident of Middle Tennessee, he spends much of his free time exploring historical places throughout the Southeastern part of the country. With each journey, he discovers new intriguing material to research for upcoming books. Clark has recently retired from the United States Postal Service which allows him more time for writing and researching his next projects.
Inhaltsangabe
List of Figures ix List of Tables xiv Notes on Contributors xv Preface xxiii Introduction 1 Part I Formal Foundations 9 1 Formal Language Theory 11 Shuly Wintner 2 Computational Complexity in Natural Language 43 Ian Pratt-Hartmann 3 Statistical Language Modeling 74 Ciprian Chelba 4 Theory of Parsing 105 Mark-Jan Nederhof And Giorgio Satta Part II Current Methods 131 5 Maximum Entropy Models 133 Robert Malouf 6 Memory-Based Learning 154 Walter Daelemans And Antal Van Den Bosch 7 Decision Trees 180 Helmut Schmid 8 Unsupervised Learning and Grammar Induction 197 Alexander Clark And Shalom Lappin 9 Artificial Neural Networks 221 James B. Henderson 10 Linguistic Annotation 238 Martha Palmer And Nianwen Xue 11 Evaluation of NLP Systems 271 Philip Resnik And Jimmy Lin Part III Domains of Application 297 12 Speech Recognition 299 Steve Renals And Thomas Hain 13 Statistical Parsing 333 Stephen Clark 14 Segmentation and Morphology 364 John A. Goldsmith 15 Computational Semantics 394 Chris Fox 16 Computational Models of Dialogue 429 Jonathan Ginzburg And Raquel Fernández 17 Computational Psycholinguistics 482 Matthew W. Crocker Part IV Applications 515 18 Information Extraction 517 Ralph Grishman 19 Machine Translation 531 Andy Way 20 Natural Language Generation 574 Ehud Reiter 21 Discourse Processing 599 Ruslan Mitkov 22 Question Answering 630 Bonnie Webber And Nick Webb References 655 Author Index 742 Subject Index 763
List of Figures ix List of Tables xiv Notes on Contributors xv Preface xxiii Introduction 1 Part I Formal Foundations 9 1 Formal Language Theory 11 Shuly Wintner 2 Computational Complexity in Natural Language 43 Ian Pratt-Hartmann 3 Statistical Language Modeling 74 Ciprian Chelba 4 Theory of Parsing 105 Mark-Jan Nederhof And Giorgio Satta Part II Current Methods 131 5 Maximum Entropy Models 133 Robert Malouf 6 Memory-Based Learning 154 Walter Daelemans And Antal Van Den Bosch 7 Decision Trees 180 Helmut Schmid 8 Unsupervised Learning and Grammar Induction 197 Alexander Clark And Shalom Lappin 9 Artificial Neural Networks 221 James B. Henderson 10 Linguistic Annotation 238 Martha Palmer And Nianwen Xue 11 Evaluation of NLP Systems 271 Philip Resnik And Jimmy Lin Part III Domains of Application 297 12 Speech Recognition 299 Steve Renals And Thomas Hain 13 Statistical Parsing 333 Stephen Clark 14 Segmentation and Morphology 364 John A. Goldsmith 15 Computational Semantics 394 Chris Fox 16 Computational Models of Dialogue 429 Jonathan Ginzburg And Raquel Fernández 17 Computational Psycholinguistics 482 Matthew W. Crocker Part IV Applications 515 18 Information Extraction 517 Ralph Grishman 19 Machine Translation 531 Andy Way 20 Natural Language Generation 574 Ehud Reiter 21 Discourse Processing 599 Ruslan Mitkov 22 Question Answering 630 Bonnie Webber And Nick Webb References 655 Author Index 742 Subject Index 763
Rezensionen
"Altogether, this Handbook covers a wide variety of topics in NLP and CL and, is of particular use to researchers in the field of MT. On a more general note, graduate students or novice researchers can utilise this book as a comprehensive starting point for their area of interest within NLP or CL ... All in all, this is very well compiled book, which effectively balances the width and depth of theories and applications in two very diverse yet closely related fields of language research." -- Machine Translation, 18 March 2012
"The overall evaluation is therefore definitely very good: the work is solid, complete and definitely an important reference for NLP and CL." (Linguistlist, 14 January 2014)
"Altogether, this Handbookcovers a wide variety of topics in NLP and CL and, is of particular use to researchers in the field of MT. On a more general note, graduate students or novice researchers can utilise this book as a comprehensive starting point for their area of interest within NLP or CL ... All in all, this is very well compiled book, which effectively balances the width and depth of theories and applications in two very diverse yet closely related fields of language research." (Machine Translation, 18 March 2012)
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