The Oxford Handbook of Computational Linguistics

by Ruslan Mitkov (Editor)

Overview

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.

Product Details

ISBN-13:	9780191625541
Publisher:	OUP Oxford
Publication date:	06/02/2022
Series:	Oxford Handbooks
Sold by:	Barnes & Noble
Format:	eBook
Pages:	1312
File size:	22 MB
Note:	This product may take a few minutes to download.

About the Author

Ruslan Mitkov is Professor of Computational Linguistics and Language Engineering at the University of Wolverhampton, where he is also Director of the Research Institute for Information and Language Processing. He has worked in the fields of Natural Language Processing, computational linguistics, corpus linguistics, machine translation, translation technology, and related areas since the early 1980s. He is a Fellow of the Alexander von Humboldt Foundation, Germany; Marie Curie Fellow and Distinguished Visiting Professor at the University of Franche-Comté in Besançon, France; and Vice-Chair of the EC-funded programme 'Future and Emerging Technologies'.

Table of Contents

Preface ix

List of Abbreviations xi

The Contributors xxv

Part I Linguistic Fundamentals

1 Phonology Steven Bird Jeffrey Heinz 3

2 Morphology Kemal Oflazer 29

3 Lexis Patrick Hanks 49

4 Syntax Ronald M. Kaplan 74

5 Semantics David Beaver Joey Frazee 94

6 Discourse Massimo Poesio 131

7 Pragmatics Christopher Potts 157

8 Dialogue Raquel Fernández 179

Part II Computational Fundamentals: Methods and Resources

9 Mathematical Foundations: Formal Grammars and Languages Leonor Becerra-Bonache Gemma Bel-Enguix M. Dolores Jiménez-López Carlos Martín-Vide 207

10 Finite-State Technology Mans Hulden 230

11 Statistical Methods: Fundamentals Christer Samuelsson Sanja Štajner 255

12 Statistical Models for Natural Language Processing Kenneth Church 289

13 Machine Learning Raymond J. Mooney 311

14 Word Representation Omer Levy 334

15 Deep Learning Kyunghyun Cho 359

16 Similarity Rada Mihalcea Samer Hassan 415

17 Evaluation Rebecca J. Passonneau Inderjeet Mani 435

18 Sublanguages and Controlled Languages Richard I. Kittredge 454

19 Lexicography Patrick Hanks 473

20 Corpora Tony McEnery 494

21 Corpus Annotation Eduard Hovy 508

22 Ontologies Roberto Navigli 518

Part III Language Processing Tasks

23 Text Segmentation Andrei Mikheev 549

24 Part-of-Speech Tagging Dan Tufis Radu Ion 565

25 Parsing John Carroll 587

26 Semantic Role Labelling Martha Palmer Sameer Pradhan Nianwen Xue 607

27 Word Sense Disambiguation Eneko Agirre Mark Stevenson 627

28 Computational Treatment of Multiword Expressions Carlos Ramisch Aline Villavicencio 649

29 Textual Entailment Sebastian Padó Ido Dagan 679

30 Anaphora Resolution Ruslan Mitkov 707

31 Temporal Processing Inderjeet Mani 730

32 Natural Language Generation John Bateman Michael Zock 747

33 Speech Recognition Lori Lamel Jean-Luc Gauvain 770

34 Text-to-Speech Synthesis Thierry Dutoit Yannis Stylianou 789

Part IV NLP Applications

35 Machine Translation Lucia Specia Yorick Wilks 817

36 Translation Technology Lynne Bowker Gloria Corpas Pastor 871

37 Information Retrieval Qiaozhu Mei Dragomir Radev 906

38 Information Extraction Ralph Grishman 934

39 Question Answering John Prager 951

40 Text Summarization Eduard Hovy 972

41 Term Extraction Ioannis Korkontzelos Sophia Ananiadou 991

42 Web Text Mining Ricardo Baeza-Yates Roi Blanco Malú Castellanos 1013

43 Opinion Mining and Sentiment Analysis Eric Breck Claire Cardie 1031

44 Spoken Language Dialogue Systems Robert Dale 1054

45 Multimodal Systems Elisabeth André Jean-Claude Martin 1071

46 Automated Writing Assistance Robert Dale 1091

47 Text Simplification Horacio Saggion 1114

48 Natural Language Processing for Biomedical Texts Kevin B. Cohen 1133

49 Author Profiling and Related Applications Michael P. Oakes 1165

50 Recent Developments in Natural Language Processing Constantin Orasan Ruslan Mitkov 1198

Glossary 1243

Index 1291

Editorial Reviews

"An excellent reference book that provides a wealth of information and enables the experienced reader to enter quickly into new subject areas of computational linguistics and natural language processing...The particular strengths of The Oxford Handbook of Computational Linguistics are the comprehensive computation-oriented discussions 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."—Linguist List

From the Publisher