Quantitative Corpus Linguistics with R

Quantitative Corpus Linguistics with R : A Practical Introduction

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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.
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Product details

  • Paperback | 286 pages
  • 178 x 254 x 17.78mm | 521g
  • Taylor & Francis Ltd
  • London, United Kingdom
  • English
  • Revised
  • 2nd Revised edition
  • 68 black & white tables
  • 1138816280
  • 9781138816282
  • 905,687

About Stefan Thomas Gries

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