NDLI: Quantitative Corpus Linguistics with R

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Quantitative Corpus Linguistics with R

Content Provider	Scilit
Author	Gries, Stefan Th.
Copyright Year	2016
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. Book Name: Quantitative Corpus Linguistics with R
Related Links	https://api.taylorfrancis.com/content/books/mono/download?identifierName=doi&identifierValue=10.4324/9781315746210&type=googlepdf
DOI	10.4324/9781315746210
Language	English
Publisher	Informa UK Limited
Publisher Date	2016-10-14
Access Restriction	Open
Subject Keyword	Book Name: Quantitative Corpus Linguistics with R Instrumentation Corpus Linguistics Extremely New Edition Quantitative Corpus
Content Type	Text
Resource Type	Chapter

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