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Quantitative Corpus Linguistics with R

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Quantitative Corpus Linguistics with R Synopsis

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.

About This Edition

ISBN: 9781138816282
Publication date: 27th October 2016
Author: Stefan Th. Gries
Publisher: Routledge an imprint of Taylor & Francis Ltd
Format: Paperback
Pagination: 274 pages
Genres: Teaching of a specific subject
Educational: Arts, general
Educational: Humanities and social sciences, general
Language: reference and general
Linguistics
Probability and statistics
Language teaching theory and methods
Probability and statistics