Statistical Methods in Language and Linguistic Research
Statistical Methods in Language and Linguistic Research illustrates with numerous examples how quantitative methods can most fruitfully contribute to linguistic analysis and research. It does not intend to offer an exhaustive presentation of all statistical techniques available to linguistics, but to demonstrate the contribution that statistics can and should make to linguistic studies.
This book shows how quantitative methods and statistical techniques can supplement qualitative analyses of language. It attempts to present some mathematical and statistical properties of natural languages, and introduces some of the quantitative methods which are of the most value in working empirically with texts and corpora, illustrating the various issues with numerous examples and moving from the most basic descriptive techniques to decision-taking techniques and to more sophisticated multivariate statistical language models.
Published: Jan 1, 2013
Statistical Methods in Language and Linguistic Research provides a useful and accessible introduction to the world of statistics for beginners. The main advantage of the book... is the fact that it offers a detailed explanation of classical statistical techniques. The text contains many examples, which will definitely help a novice to understand the logic behind the statistical tests. Another strong point is the systematic discussion and comparison of parametric and non-parametric methods offered in Chapter 3. Since linguistic data tend to deviate from normality, this approach is very welcome.
Language researchers aiming to use statistics in their research can use this resource as a guiding reference. Other language students whose investigation may not need to rely on quantitative methods, may discover in the multitude of case scenarios described direct evidence or statistical extension in their work.
A thorough read of this book would benefit any applied linguist conducting quantitative research, regardless of orientation and background, but especially those interested in analyzing corpus data. Few methods authors in the field have ventured into the statistical territory mapped out in this book. Even fewer have succeeded, as this book has, in presenting the material in such an approachable manner.
Studies in Second Language Acquisition
I enjoyed reading this book. As a reader I could both improve my knowledge of some of the statistical procedures and obtain a better understanding of some aspects of corpus linguistics. Applied linguistics postgraduate students and researchers will find this book helpful in understanding some of the complex statistical procedures like DFA.
Australian Review of Applied Linguistics