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The Handbook of Computational Linguistics and Natural Language Processing / Edition 1
     

The Handbook of Computational Linguistics and Natural Language Processing / Edition 1

by Alexander Clark, Chris Fox, Shalom Lappin
 

ISBN-10: 1405155817

ISBN-13: 9781405155816

Pub. Date: 08/16/2010

Publisher: Wiley

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

Overview

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



Product Details

ISBN-13:
9781405155816
Publisher:
Wiley
Publication date:
08/16/2010
Series:
Blackwell Handbooks in Linguistics Series , #52
Pages:
802
Product dimensions:
7.00(w) x 9.80(h) x 1.90(d)

Table of Contents

List of Figures.

List of Contributors.

Preface.

Introduction.

PART I: Formal Language Theory.

1. Formal Language Theory (Shuly Wintner, University of Haifa Israel).

2. Computational Complexity in Natural Language (Ian Pratt-Hartmann, University of Manchester).

3. Statistical Language Modeling (Ciprian Chelba).

4. Theory of Parsing (Mark-Jan Nederhof, University of St. Andrews) and Giorgio Satta, University of Padua).

PART II: Current Methods.

5. Maximum Entropy Models (Robert Malouf, San Diego State University).

6. Memory-Based Learning (Walter Daelemans, University of Antwerp   and Antal van den Bosch, Tilburg University).

7. Decision Trees (Helmut Schmid, University of Stuttgart).

8. Unsupervised Learning and Grammar Induction (Alex Clark,University of London and Shalom Lappin, King’s College London).

9. Artificial Neural Networks (James B. Henderson, University of Geneva).

10. Linguistic Annotation (Martha Palmer, University of Colorado and Nianwen Xue, Brandeis University).

11. Evaluation of NLP Systems (Philip Resnik , University of Maryland and Jimmy Lin, University of Maryland).

PART III: Domains of Application.

12. Speech Recognition (Steve Renals, University of Edinburgh and Thomas Hain, University of Sheffield).

13. Statistical Parsing (Stephen Clark , Univeristy of Cambridge).

14. Segmentation and Morphology (John A. Goldsmith, University of Chicago).

15. Computational Semantics (Chris Fox, University of Essex).

16. Computational Models of Dialogue (Jonathan Ginzburg, King’s College, London and Raquel Fernandez, University of Amsterdam).

17. Computational Psycholinguistics (Matthew W. Crocker, Saarland University).

PART IV: Applications.

18. Information Extraction (Ralph Grishman, New York University).

19. Machine Translation (Andy Way, Dublin City University).

20. Natural Language Generation (Ehud Reiter, Univeristy of Aberdeen).

21. Discourse Processing (Ruslan Mitkov, Univeristy of Wolverhampton).

22. Question Answering (Bonnie Webber, University of Edinburgh and Nick Webb, University of Albany).

References.

Author Index.

Subject Index.

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