2nd Edition

Quantitative Corpus Linguistics with R A Practical Introduction

By Stefan Th. Gries Copyright 2017
    286 Pages
    by Routledge

    286 Pages
    by Routledge

    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.

    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.