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The Oxford handbook of computational linguistics

Title
The Oxford handbook of computational linguistics Ruslan Mitkov
ISBN
9780191749643
Edition
Second Edition
Publication
Oxford: Oxford University Press, 2022
Physical Description
1 online resource (1370 p) Some colour
Extent
Handbook started in 2022
Local Notes
Access is available to the Yale community.
Notes
Includes bibliographical references and index.
Access and use
Access restricted by licensing agreement.
Summary
This second edition of The Oxford Handbook of Computational Linguistics has been substantially revised, updated, and expanded. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as deep learning, word representation, semantic role labelling, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpora; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.
Variant and related titles
Oxford handbooks online.
Other formats
Print Version
Format
Books / Online
Language
English
Added to Catalog
October 20, 2022
Series
Oxford Academic
Oxford handbooks online
Contents
Contents: Preface - List of Abbreviations - The Contributors - Part I.Linguistic Fundamentals - 1. Phonology - Steven Bird and Jeffrey Heinz - 2. Morphology - Kemal Oflazer - 3. Lexis - Patrick Hanks - 4. Syntax - Ronald M. Kaplan - 5. Semantics - David Beaver and Joey Frazee - 6. Discourse - Massimo Poesio - 7. Pragmatics - Christopher Potts - 8. Dialogue - Raquel Fernández - Part II.Computational Fundamentals: Methods and Resources - 9. Mathematical Foundations: Formal Grammars and Languages - Leonor Becerra-Bonache, Gemma Bel-Enguix, M. Dolores Jiménez-López, and Carlos Martín-Vide - 10. Finite-State Technology - Mans Hulden - 11. Statistical Methods: Fundamentals - Christer Samuelsson and Sanja Štajner - 12. Statistical Models for Natural Language Processing - Kenneth Church - 13. Machine Learning - Raymond J. Mooney - 14. Word Representation - Omer Levy - 15. Deep Learning - Kyunghyun Cho - 16. Similarity - Rada Mihalcea and Samer Hassan - 17. Evaluation - Rebecca J. Passonneau and Inderjeet Mani - 18. Sublanguages and Controlled Languages - Richard I. Kittredge - 19. Lexicography - Patrick Hanks - 20. Corpora - Tony McEnery - 21. Corpus Annotation - Eduard Hovy - 22. Ontologies - Roberto Navigli - Part III.Language Processing Tasks - 23. Text Segmentation - Andrei Mikheev - 24. Part-of-Speech Tagging - Dan Tufiș and Radu Ion - 25. Parsing - John Carroll - 26. Semantic Role Labelling - Martha Palmer, Sameer Pradhan, and Nianwen Xue - 27. Word Sense Disambiguation - Eneko Agirre and Mark Stevenson - 28. Computational Treatment of Multiword Expressions - Carlos Ramisch and Aline Villavicencio - 29. Textual Entailment - Sebastian Padó and Ido Dagan - 30. Anaphora Resolution - Ruslan Mitkov - 31. Temporal Processing - Inderjeet Mani - 32. Natural Language Generation - John Bateman and Michael Zock - 33. Speech Recognition - Lori Lamel and Jean-Luc Gauvain - 34. Text-to-Speech Synthesis - Thierry Dutoit and Yannis Stylianou - Part IV.NLP Applications - 35. Machine Translation - Lucia Specia and Yorick Wilks - 36. Translation Technology - Lynne Bowker and Gloria Corpas Pastor - 37. Information Retrieval - Qiaozhu Mei and Dragomir Radev - 38. Information Extraction - Ralph Grishman - 39. Question Answering - John Prager - 40. Text Summarization - Eduard Hovy - 41. Term Extraction - Ioannis Korkontzelos and Sophia Ananiadou - 42. Web Text Mining - Ricardo Baeza-Yates, Roi Blanco, and Malú Castellanos - 43. Opinion Mining and Sentiment Analysis - Eric Breck and Claire Cardie - 44. Spoken Language Dialogue Systems - Robert Dale - 45. Multimodal Systems - Elisabeth André and Jean-Claude Martin - 46. Automated Writing Assistance - Robert Dale - 47. Text Simplification - Horacio Saggion - 48. Natural Language Processing for Biomedical Texts - Kevin B. Cohen - 49. Author Profiling and Related Applications - Michael P. Oakes - 50. Recent Developments in Natural Language Processing - Constantin Orăsan and Ruslan Mitkov - Glossary - Index
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