目次

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.