Statistics in corpus linguistics : a practical guide
Author(s)
Bibliographic Information
Statistics in corpus linguistics : a practical guide
Cambridge University Press, 2018
- : pbk
- : hardback
Available at / 28 libraries
-
Kyoto Sangyo University Library
: paperback801.019||BRE01343510,
: hardback801.019||BRE01347379 -
Kobe Shoin Women's University Library / Kobe Shoin Women's College Library
: paperback801.01/13812455880
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references (p. 285-293) and index
Description and Table of Contents
Description
Do you use language corpora in your research or study, but find that you struggle with statistics? This practical introduction will equip you to understand the key principles of statistical thinking and apply these concepts to your own research, without the need for prior statistical knowledge. The book gives step-by-step guidance through the process of statistical analysis and provides multiple examples of how statistical techniques can be used to analyse and visualise linguistic data. It also includes a useful selection of discussion questions and exercises which you can use to check your understanding. The book comes with a Companion website, which provides additional materials (answers to exercises, datasets, advanced materials, teaching slides etc.) and Lancaster Stats Tools online (http://corpora.lancs.ac.uk/stats), a free click-and-analyse statistical tool for easy calculation of the statistical measures discussed in the book.
Table of Contents
- 1. Introduction: statistics meets corpus linguistics
- 2. Vocabulary: frequency, dispersion and diversity
- 3. Semantics and discourse: collocations, keywords and reliability of manual coding
- 4. Lexico-grammar: from simple counts to complex models
- 5. Register variation: correlation, clusters and factors
- 6. Sociolinguistics and stylistics: individual and social variation
- 7. Change over time: working diachronic data
- 8. Bringing everything together: ten principles of statistical thinking, meta-analysis and effect sizes.
by "Nielsen BookData"