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.
Stefan Th. Gries
Quantitative Corpus Linguistics with R [PDF ebook]
A Practical Introduction
Quantitative Corpus Linguistics with R [PDF ebook]
A Practical Introduction
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Limba Engleză ● Format PDF ● Pagini 286 ● ISBN 9781317597667 ● Editura Taylor and Francis ● Publicat 2016 ● Descărcabil 3 ori ● Valută EUR ● ID 5003751 ● Protecție împotriva copiilor Adobe DRM
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