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Corpus Linguistics: A Guide to the Methodology
This book attempts to frame corpus linguistics systematically as a variant of the observational method. The first part introduces the reader to the general methodological discussions surrounding corpus data and the second part consists of a number of case studies from the main areas of corpus linguistics (lexical associations, morphology, grammar, text and metaphor).
- Author
- Anatol Stefanowitsch
- Publisher
- Freie Universität Berlin
- Source
- LibreTexts
- License
- CC BY-SA
- Language
- EN
- Category
- Basic Sciences
Contents· 51 sections
- 01: The need for corpus data
- 1.01: Arguments against corpus data
- 1.02: Intuition
- 1.03: Intuition data vs. corpus data
- 1.4 Corpus data in other sub-disciplines of linguistics
- 02: What is corpus linguistics
- 2.01: The linguistic corpus
- 2.02: Towards a definition of corpus linguistics
- 2.03: Corpus linguistics as a scientific method
- 03: Corpus linguistics as a scientific method
- 3.01: The scientific hypothesis
- 3.02: Operationalization
- 3.03: Hypotheses in context- The research cycle
- 04: Data retrieval and annotation
- 4.01: Retrieval
- 4.02: Annotating
- 05: Quantifying research questions
- 5.01: Types of data
- 5.02: Descriptive statistics for nominal data
- 5.03: Descriptive statistics for ordinal data
- 5.04: Descriptive statistics for cardinal data
- 5.05: Summary
- 06: Significance testing
- 6.01: Statistical hypothesis testing
- 6.02: Probabilities and significance testing
- 6.03: Nominal data- The chi-square test
- 6.04: Ordinal data- The Mann-Whitney U-test
- 6.05: Complex research designs
- 6.6 Complex research designs
- 07: Collocation
- 7.01: Collocates
- 7.02: Case studies
- 08: Grammar
- 8.01: Grammar in corpora
- 8.02: Case studies
- 09: Morphology
- 9.01: Quantifying morphological phenomena
- 9.02: Case studies
- 10: Text
- 10.01: Keyword analysis
- 10.02: Case studies
- 11: Metaphor
- 11.01: Studying metaphor in corpora
- 11.02: Case studies
- 12: Epilogue
- 13: Study Notes
- 14: Statistical Tables
- 14.1: Critical values for the chi-square test
- 14.2: Chi-square table for multiple tests with one degree of freedom
- 14.3: Critical values for the Mann-Whitney-Text
- 14.4: Critical values for Welch's (t)-Test