The Oxford Handbook of Computational Linguistics / Edition 1

The Oxford Handbook of Computational Linguistics / Edition 1

by Ruslan Mitkov
     
 

ISBN-10: 019927634X

ISBN-13: 9780199276349

Pub. Date: 03/10/2005

Publisher: Oxford University Press, USA

Thirty-eight chapters, commissioned from experts all over the world, describe major concepts, methods, and applications in computational linguistics. Part I, Linguistic Fundamentals, provides an overview of the field suitable for senior undergraduates and non-specialists from other fields of linguistics and related disciplines. Part II describes current tasks,

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Overview

Thirty-eight chapters, commissioned from experts all over the world, describe major concepts, methods, and applications in computational linguistics. Part I, Linguistic Fundamentals, provides an overview of the field suitable for senior undergraduates and non-specialists from other fields of linguistics and related disciplines. Part II describes current tasks, techniques, and tools in Natural Language Processing and aims to meet the needs of post-doctoral workers and others embarking on computational language research. Part III surveys current Applications.

The book is a state-of-the-art reference to one of the most active and productive fields in linguistics. It will be of interest and practical use to a wide range of linguists, as well as to researchers in such fields as informatics, artificial intelligence, language engineering, and cognitive science.

Product Details

ISBN-13:
9780199276349
Publisher:
Oxford University Press, USA
Publication date:
03/10/2005
Series:
Oxford Handbooks Series
Edition description:
New Edition
Pages:
806
Product dimensions:
9.70(w) x 6.70(h) x 1.60(d)

Table of Contents

Part I: Fundamentals
1. Phonology, Steven Bird
2. Morphology, Harald Trost
3. Computational Lexicography, Patrick Hanks
4. Syntax, Ronald M. Kaplan
5. Semantics, Shalom Lappin
6. Discourse, Allan Ramsay
7. Pragmatics and Dialogue, Geoffrey N. Leech and Martin Weisser
8. Formal Grammars and Languages, Carlos Martín-Vide
9. Complexity, Bob Carpenter
Part II: Processes, Methods, and Resources
10. Text Segmentation, Andrei Mikheev
11. Part-of-Speech Tagging, Atro Voutilainen
12. Parsing, John Carroll
13. Word-Sense Disambiguation, Mark Stevenson and Yorick Wilks
14. Anaphora Resolution, Ruslan Mitkov
15. Natural Language Generation, John Bateman and Michael Zock
16. Speech Recognition, Lori Lamel and Jean-Luc Gauvain
17. Text-to-Speech Synthesis, Thierry Dutoit and Yannis Stylianou
18. Finite-State Technology, Lauri Karttunen
19. Statistical Methods, Christer Samuelsson
20. Machine Learning, Raymond J. Mooney
21. Lexical Knowledge Acquisition, Yuji Matsumoto
22. Evaluation, L. Hirschman and I. Mani
23. Sublanguages and Controlled Languages, Richard I. Kittredge
24. Corpora, Tony McEnery
25. Ontologies, Piek Vossen
26. Tree-Adjoining Grammars, Aravind K. Joshi
Part III: Applications
27. Machine Translation: General Overview, John Hutchins
28. Machine Translation: Latest Developments, Harold Somers
29. Information Retrieval, Evelyne Tzoukermann, Judith L. Klavans and Tomek Strzalkowski
30. Information Extraction, Ralph Grishman
31. Question Answering, Sanda Harabagiu and Dan Moldovan
32. Text Summarization, Eduard Hovy
33. Term Extraction and Automatic Indexing, Christian Jacquemin and Didier Bourigault
34. Text Data Mining, Marti A. Hearst
35. Natural Language Interaction, Ion Androutsopoulos and Maria Aretoulaki
36. Natural Language in Multimodal and Multimedia Systems, Elisabeth André
37. Natural Language Processing in Computer-Aided Language Learning, John Nerbonne
38. Multilingual On-Line Natural Language Processing, Gregory Grefenstette and Frédérique Segond

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