As in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on:
- data processing and manipulation in general;
- text processing with and without regular expressions of large bodies of textual and/or literary data, and;
- basic aspects of statistical analysis and visualization.
This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.
Table of Contents
Chapter 1. Introduction
Chapter 2. The Four Central Corpus-Linguistic Methods
Chapter 3. An Introduction to R
Chapter 4. Some Basic Statistical Notions and Tests
Chapter 5. Using R in Corpus Linguistics: Case Studies
Chapter 6. Next steps
Stefan Th. Gries is Professor of Linguistics at University of California, Santa Barbara, USA.
Please visit our companion website for additional support materials.