Quantitative corpus linguistics with R : a practical introduction / Stefan Th. Gries.
2017
P138.5 .G75 2017 (Mapit)
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Details
Title
Quantitative corpus linguistics with R : a practical introduction / Stefan Th. Gries.
Edition
Second edition.
ISBN
9781138816282 (paperback)
1138816280 (paperback)
9781138816275 (hardcover)
1138816272 (hardcover)
9781317597650 (electronic book)
1138816280 (paperback)
9781138816275 (hardcover)
1138816272 (hardcover)
9781317597650 (electronic book)
Published
New York : Routledge, Taylor & Francis Group, 2017.
Language
English
Description
ix, 274 pages : illustrations ; 26 cm
Call Number
P138.5 .G75 2017
Dewey Decimal Classification
410.1/8802855362
Summary
"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"--Provided by publisher.
Bibliography, etc. Note
Includes bibliographical references and index.
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Table of Contents
1. Introduction
2. The four central corpus-linguistic methods
3. An introduction to R
4. Some basic statistical notions and tests
5. Using R in corpus linguistics : case studies
6. Next steps ...
2. The four central corpus-linguistic methods
3. An introduction to R
4. Some basic statistical notions and tests
5. Using R in corpus linguistics : case studies
6. Next steps ...