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.
Rezensionen / Stimmen
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.' * International Journal of Lexicography * '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.' * Linguist List *
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Editions-Typ
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 251 mm
Breite: 174 mm
Dicke: 63 mm
Gewicht
ISBN-13
978-0-19-957369-1 (9780199573691)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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'.
Herausgeber*in
Professor of Computational Linguistics and Language EngineeringProfessor of Computational Linguistics and Language Engineering, University of Wolverhampton
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: 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
