Computational Methods for Corpus Annotation and Analysis

Authors: Lu, Xiaofei

  • Provides an accessible introduction to natural language processing technology that facilitates automatic corpus annotation and analysis
  • Covers computational tools for lexical, syntactic, semantic, pragmatic and discourse analysis
  • Offers detailed instructions on how to obtain, install and use each tool
  • Illustrates how NLP technology has been applied in recent corpus-based language studies
  • Suggests effective ways to integrate NLP technology in future applied corpus linguistic research
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eBook $109.00
price for USA (gross)
  • ISBN 978-94-017-8645-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-94-017-8644-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 21, 2016
  • ISBN 978-94-024-0780-8
  • Free shipping for individuals worldwide
About this book

In the past few decades the use of increasingly large text corpora has grown rapidly in language and linguistics research. This was enabled by remarkable strides in natural language processing (NLP) technology, technology that enables computers to automatically and efficiently process, annotate and analyze large amounts of spoken and written text in linguistically and/or pragmatically meaningful ways. It has become more desirable than ever before for language and linguistics researchers who use corpora in their research to gain an adequate understanding of the relevant NLP technology to take full advantage of its capabilities.
This volume provides language and linguistics researchers with an accessible introduction to the state-of-the-art NLP technology that facilitates automatic annotation and analysis of large text corpora at both shallow and deep linguistic levels. The book covers a wide range of computational tools for lexical, syntactic, semantic, pragmatic and discourse analysis, together with detailed instructions on how to obtain, install and use each tool in different operating systems and platforms. The book illustrates how NLP technology has been applied in recent corpus-based language studies and suggests effective ways to better integrate such technology in future corpus linguistics research.
This book provides language and linguistics researchers with a valuable reference for corpus annotation and analysis.

Reviews

From the book reviews:

“‘Computational Methods for Corpus Annotation and Analysis’ is an excellent book for corpus linguists who are interested in using advanced corpus queries. It presents the latest computational tools for corpus annotation and analysis in a very accessible manner. The advice and resources in the book are also very practical and useful. It is highly recommended to researchers and students of corpus linguistics.” (Phoebe M. S. Lin, The Linguist List, March, 2015)


Table of contents (8 chapters)

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-94-017-8645-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-94-017-8644-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 21, 2016
  • ISBN 978-94-024-0780-8
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Computational Methods for Corpus Annotation and Analysis
Authors
Copyright
2014
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-94-017-8645-4
DOI
10.1007/978-94-017-8645-4
Hardcover ISBN
978-94-017-8644-7
Softcover ISBN
978-94-024-0780-8
Edition Number
1
Number of Pages
XI, 186
Number of Illustrations and Tables
22 b/w illustrations
Topics