Quantitative Corpus Linguistics with R
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Quantitative Corpus Linguistics with R : A Practical Introduction

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Description

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.show more

Product details

  • Paperback | 286 pages
  • 178 x 254 x 17.78mm | 521g
  • Taylor & Francis Ltd
  • ROUTLEDGE
  • London, United Kingdom
  • English
  • Revised
  • 2nd Revised edition
  • 68 black & white tables
  • 1138816280
  • 9781138816282
  • 1,347,357

About Stefan Thomas Gries

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

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 stepsshow more

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