The Oxford Handbook of Computational Linguistics (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
1376
Utgivningsdatum
2022-06-16
Upplaga
2
Förlag
OUP Oxford
Dimensioner
250 x 177 x 64 mm
Vikt
2057 g
Antal komponenter
1
ISBN
9780199573691

The Oxford Handbook of Computational Linguistics

Inbunden,  Engelska, 2022-06-16
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This second edition of The Oxford Handbook of Computational Linguistics has been updated and revised throughout, with 17 new chapters included on key recent topics in the field. It 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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International Journal of Lexicography Review from previous edition 'A highly stimulating and impressive book which should be found in every library and every linguistics department. I strongly recommend it.'

Linguist List '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 OHCL are the comprehensive computation-oriented discussion of the fundamental linguistic issues and the broad coverage of NLP methods and resources.'

Övrig information

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-Comte in Besancon, France; and Vice-Chair of the EC-funded programme 'Future and Emerging Technologies'.

Innehållsförteckning

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 Fernandez: Dialogue Part II. Computational Fundamentals: Methods and Resources 9: Leonor Becerra-Bonache, Gemma Bel-Enguix, M. Dolores Jimenez-Lopez, and Carlos Martin-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 Pado 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 Malu 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: Jill Burstein, John Sabatini, and Jane Shore: Natural Language Processing for Educational Applications 47: Robert Dale: Automated Writing Assistance 48: Horacio Saggion: Text Simplification 49: Kevin B. Cohen: Natural Language Processing for Biomedical Texts 50: Michael P. Oakes: Author Profiling and Related Applications 51: Constantin Orasan and Ruslan Mitkov: Recent Natural Language Processing Applications