The Oxford Handbook Of Computational Linguistics 2nd Edition

Edited by Mitkov Ruslan
Short description/annotation:
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.
Description:
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.
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 D