The Oxford Handbook of Computational Linguistics
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.
1119536602
The Oxford Handbook of Computational Linguistics
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.
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The Oxford Handbook of Computational Linguistics

The Oxford Handbook of Computational Linguistics

The Oxford Handbook of Computational Linguistics
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The Oxford Handbook of Computational Linguistics

The Oxford Handbook of Computational Linguistics

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
  • List of abbreviations
  • The contributors
  • Part I. Linguistic Fundamentals
  • 1: Steven Bird and Jeffrey Heinz: Phonology
  • 2: Kemal Oflazer: Morphology
  • 3: Patrick Hanks: Lexis
  • 4: Ronald M. Kaplan: Syntax
  • 5: David Beaver and Joey Frazee: Semantics
  • 6: Massimo Poesio: Discourse
  • 7: Christopher Potts: Pragmatics
  • 8: Raquel Fernández: Dialogue
  • Part II. Computational Fundamentals: Methods and Resources
  • 9: Leonor Becerra-Bonache, Gemma Bel-Enguix, M. Dolores Jiménez-López, and Carlos Martín-Vide: Mathematical Foundations, Formal Grammars and Languages
  • 10: Mans Hulden: Finite-State Technology
  • 11: Christer Samuelsson and Sanja Stajner: Statistical Methods: Fundamentals
  • 12: Kenneth Church: Statistical Models for Natural Language Processing
  • 13: Raymond J. Mooney: Machine Learning
  • 14: Omer Levy: Word Representation
  • 15: Kyunghyun Cho: Deep Learning
  • 16: Rada Mihalcea and Samer Hassan: Similarity
  • 17: Rebecca Passonneau and Inderjeet Mani: Evaluation
  • 18: Richard I. Kittredge: Sublanguages and Controlled Languages
  • 19: Patrick Hanks: Lexicography
  • 20: Tony McEnery: Corpora
  • 21: Eduard Hovy: Corpus Annotation
  • 22: Roberto Navigli: Ontologies
  • Part III. Language Processing Tasks
  • 23: Andrei Mikheev: Text Segmentation
  • 24: Dan Tufis and Radu Ion: Part-of-Speech Tagging
  • 25: John Carroll: Parsing
  • 26: Martha Palmer, Sameer Pradhan, and Nianwen Xue: Semantic Role Labelling
  • 27: Eneko Agirre and Mark Stevenson: Word Sense Disambiguation
  • 28: Carlos Ramisch and Aline Villavicencio: Computational Treatment of Multiword Expressions
  • 29: Sebastian Padó and Ido Dagan: Textual Entailment
  • 30: Ruslan Mitkov: Anaphora Resolution
  • 31: Inderjeet Mani: Temporal Processing
  • 32: Michael Zock and John Bateman: Natural Language Generation
  • 33: Lori Lamel and Jean-Luc Gauvain: Speech Recognition
  • 34: Thierry Dutoit and Yannis Stylianou: Text-to-Speech Synthesis
  • Part IV. Natural Language Processing Applications
  • 35: Lucia Specia and Yorick Wilks: Machine Translation
  • 36: Lynne Bowker and Gloria Corpas Pastor: Translation Technology
  • 37: Qiaozhu Mei and Dragomir Radev: Information Retrieval
  • 38: Ralph Grishman: Information Extraction
  • 39: John M. Prager: Question Answering
  • 40: Eduard Hovy: Text Summarization
  • 41: Ioannis Korkontzelos and Sophia Ananiadou: Term Extraction
  • 42: Ricardo Baeza-Yates, Roi Blanco, and Malú Castellanos: Web Text Mining
  • 43: Eric Breck and Claire Cardie: Opinion Mining and Sentiment Analysis
  • 44: Robert Dale: Spoken Language Dialogue Systems
  • 45: Elisabeth Andre and Jean-Claude Martin: Multimodal Systems
  • 46: Robert Dale: Automated Writing Assistance
  • 47: Horacio Saggion: Text Simplification
  • 48: Kevin B. Cohen: Natural Language Processing for Biomedical Texts
  • 49: Michael P. Oakes: Author Profiling and Related Applications
  • 50: Constantin Orasan and Ruslan Mitkov: Recent Natural Language Processing Applications
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