Quantitative Corpus Linguistics with R: A Practical Introduction

by Stefan Th. Gries

Overview

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.

Product Details

ISBN-13:	9781317597650
Publisher:	Taylor & Francis
Publication date:	10/14/2016
Sold by:	Barnes & Noble
Format:	eBook
Pages:	286
File size:	2 MB

About the Author

Stefan Th. Gries is Professor of Linguistics at University of California, Santa Barbara, USA.

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

Editorial Reviews

"This book is a must for every corpus linguist's desk right beside the computer - that's where it does its wonders." - International Journal of Corpus Linguistics

From the Publisher