The Oxford Handbook of Computational Linguistics

Paperback | February 7, 2005

byRuslan MitkovAs told byRuslan Mitkov

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Thirty-eight chapters, comissioned 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 oflinguistics 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.This 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 cognitivescience.

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Thirty-eight chapters, comissioned 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 oflinguistics and related disciplines. Part II d...

Ruslan Mitkov is Professor of Computational Linguistics and Language Engineering at the University of Wolverhampton and Research Professor at the Institute of Mathematics, Bulgarian Academy of Sciences. He has held research positions at CNRS, the University of Science Malaysia, the Korean Advanced Institute of Science, and the Univers...

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Format:PaperbackDimensions:808 pages, 9.69 × 6.73 × 1.64 inPublished:February 7, 2005Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:019927634X

ISBN - 13:9780199276349

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Table of Contents

Part I: Fundamentals1. Steven Bird: Phonology2. Harald Trost: Morphology3. Patrick Hanks: Computational Lexicography4. Ronald M. Kaplan: Syntax5. Shalom Lappin: Semantics6. Allan Ramsay: Discourse7. Geoffrey Leech and Martin Weisser: Pragmatics and Dialogue8. Carlos Martin-Vide: Formal Grammars and Languages9. Bob Carpenter: ComplexityPart II: Processes, Methods, and Resources10. Andrei Mikheev: Text Segmentation11. Atro Voutilainen: Part-of-Speech Tagging12. John Carroll: Parsing13. Mark Stevenson and Yorick Wilks: Word-Sense Disambiguation14. Ruslan Mitkov: Anaphora Resolution15. John Bateman and Michael Zock: Natural Language Generation16. Lori Lamel and Jean-Luc Gauvain: Speech Recognition17. Thierry Dutoit and Yannis Stylianou: Text-to-Speech Synthesis18. Lauri Karttunen: Finite-State Technology19. Christer Samuelsson: Statistical Methods20. Raymond J. Mooney: Machine Learning21. Yuji Matsumoto: Lexical Knowledge Acquisition22. L. Hirschman and I. Mani: Evaluation23. Richard I. Kittredge: Sublanguages and Controlled Languages24. Tony McEnery: Corpora25. Piek Vossen: Ontologies26. Aravind K. Joshi: Tree-Adjoining GrammarsPart III: Applications27. John Hutchins: Machine Translation: General Overview28. Harold Somers: Machine Translation: Latest Developments29. Evelyne Tzoukermann, Judith L. Klavans, and Tomek Strzalkowski: Information Retrieval30. Ralph Grishman: Information Extraction31. Sanda Harabagiu and Dan Moldovan: Question Answering32. Eduard Hovy: Text Summarization33. Christian Jacquemin and Didier Bourigault: Term Extraction and Automatic Indexing34. Marti A. Hearst: Text Data Mining35. Ion Androutsopoulos and Maria Aretoulaki: Natural Language Interaction36. Elisabeth Andre: Natural Language in Multimodal and Multimedia Systems37. John Nerbonne: Natural Language Processing in Computer-Aided Language Learning38. Gregory Grefenstette and Frederique Segond: Multilingual On-Line Natural Language Processing

Editorial Reviews

`Review from previous edition 'An excellent reference book that provides a wealth of information and enables the experienced reader to enter quickly into new subject areas of CL {computational linguistics] and NLP [natural language processing] .... The particular strengths of the OHCL are thecomprehensive computation-oriented discussion of the fundamental linguistic issues and the broad coverage of NLP methods and resources. It thus extensively accounts for the theoretical and methodological backgrounds of CL and NLP.... The publisher should consider issuing a moderately pricedstudents' edition to make the OHCL affordable to the wide audience it definitely deserves.''LinguistList