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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