A practical handbook of corpus linguistics / Magali Paquot, Stefan Th. Gries, editors.
Paquot, Magali.; Gries, Stefan Thomas, 1970-
2020
P128.C68
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title A practical handbook of corpus linguistics / Magali Paquot, Stefan Th. Gries, editors.
ISBN 9783030462161 (electronic book)
3030462161 (electronic book)
9783030462154
DOI https://doi.org/10.1007/978-3-030-46216-1
Imprint Cham : Springer, 2020.
Language English
Description 1 online resource (671 p.)
Other Standard Identifiers 10.1007/978-3-030-46216-1 doi
Call Number P128.C68
Dewey Decimal Classification 410.1/88
Summary This handbook is a comprehensive practical resource on corpus linguistics. It features a range of basic and advanced approaches, methods and techniques in corpus linguistics, from corpus compilation principles to quantitative data analyses. The Handbook is organized in six Parts. Parts I to III feature chapters that discuss key issues and the know-how related to various topics around corpus design, methods and corpus types. Parts IV-V aim to offer a user-friendly introduction to the quantitative analysis of corpus data: for each statistical technique discussed, chapters provide a practical guide with R and come with supplementary online material. Part VI focuses on how to write a corpus linguistic paper and how to meta-analyze corpus linguistic research. The volume can serve as a course book as well as for individual study. It will be an essential reading for students of corpus linguistics as well as experienced researchers who want to expand their knowledge of the field.
Note Description based upon print version of record.
Access Note Access limited to authorized users.
Added Author Paquot, Magali.
Gries, Stefan Thomas, 1970-
Available in Other Form A Practical Handbook of Corpus Linguistics
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction
Part I: Corpus design, corpus methods and corpus types
Chapter 1. Corpus Compilation (Annelie Adel)
Chapter 2. Corpus Annotation (John Newman & Christopher Cox)
Chapter 3. Corpus Architecture (Amir Zeldes)
Chapter 4. Analyzing frequency lists (Don Miller)
Chapter 5. Analyzing dispersion (Stefan Th. Gries)
Chapter 6. Analyzing keyword lists (Paul Rayson & Amanda Potts)
Chapter 7. Analyzing co-occurrence data (Stefan Th. Gries & Phil Durrant)
Chapter 8. Analyzing concordances (Steffi Wulff & Paul Baker)
Chapter 9. Programming for corpus linguistics (Laurence Anthony)
Chapter 10. Diachronic corpora (Kristine Davidse & Henrik de Smet)
Chapter 11. Spoken corpora (Ulrike Gut)
Chapter 12. Parallel corpora (Marie-Aude Lefer)
Chapter 13. Learner corpora (Gaetanelle Gilquin)
Chapter 14. Child-language corpora (Sabine Stoll & Robert Schikowski)
Chapter 15. Web corpora (Andrew Kehoe)
Chapter 16. Multimodal corpora (Dawn Knight & Svenja Adolphs)
Part II: Quantitative analyses of corpora with R
Chapter 17. Descriptive statistics and visualization with R (Magali Paquot & Tove Larsson)
Chapter 18. Cluster analysis (Hermann Moisl)
Chapter 19. Multidimensional exploratory approaches (Guillaume Desagulier)
Chapter 20. Classical monofactorial (parametric and non-parametric) tests (Vaclav Brezina)
Chapter 21. Fixed-effects regression modeling (Martin Hilpert & Damian Blasi)
Chapter 22. Mixed-effects regression modeling (Roland Schafer)
Chapter 23. Generalized additive mixed models (R. Harald Baayen & Maja Linke)
Chapter 24. Bootstrapping techniques (Jesse Egbert & Luke Plonsky)
Chapter 25. Conditional inference trees and random forests (Natalia Levshina)
Part III: Pulling everything together
Chapter 26. Writing up a corpus linguistic paper (Stefan Th. Gries & Magali Paquot)
Chapter 27. Meta-analyzing corpus linguistic research (Atsushi Mizumoto, Luke Plonsky & Jesse Egbert)
Index.

Browse Subjects

Show more subjects...

Statistics

from
to
Export