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Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, 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 corpus annotation; 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.

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 Stajner

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 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 Tufis 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, Michael Zock and John Bateman

33. Speech Recognition, Lori Lamel and Jean-Luc Gauvain

34. Text-to-Speech Synthesis, Thierry Dutoit and Yannis Stylianou

Part IV. Natural Language Processing 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 M. 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 Andre 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 Natural Language Processing Applications, Constantin Orasan and Ruslan Mitkov