Quantitative Corpus Linguistics with R

A Practical Introduction

Nonfiction, Reference & Language, Language Arts, Linguistics, Education & Teaching, Teaching, Teaching Methods
Cover of the book Quantitative Corpus Linguistics with R by Stefan Th. Gries, Taylor and Francis
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Author: Stefan Th. Gries ISBN: 9781317597650
Publisher: Taylor and Francis Publication: October 14, 2016
Imprint: Routledge Language: English
Author: Stefan Th. Gries
ISBN: 9781317597650
Publisher: Taylor and Francis
Publication: October 14, 2016
Imprint: Routledge
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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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