Statistics in corpus linguistics: a practical guide

ABSTRACT

The book under review aims to help readers who do not have solid statistical knowledge to apply basic and key statistical principles and methods in corpus studies. It serves both as an overview of cutting-edge statistical methods of linguistic analysis using corpora and a step-by-step guide to conducting simple yet conclusive statistical analysis of corpus data, using various new visualization techniques to present research results with graphs and charts. This review introduces the statistical methods, research procedures, visualization tools, and case studies discussed in each chapter of the book and comments on its merits and demerits.

KEYWORDS:

• Corpus linguistics
• statistics
• visualization
• research method

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No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Dandan Sheng

Dandan Sheng is a lecturer at the School of Foreign Languages, Shanghai University of Engineering Science, China. She holds a PhD in Translation Studies from Shanghai Jiao Tong University. With her Ph.D. thesis based on corpus-based interpreting research, her research interests concern topics from corpus-based translation and interpreting studies to translator and interpreter training. She has published several research articles in major CSSCI journals devoted to linguistics and translation studies in China, such as Journal of Foreign Languages, Technology Enhanced Foreign Language Education and Shanghai Journal of Translators.