Quantitative Corpus Linguistics with R

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A01=Stefan Th. Gries
applied computational linguistics
Author_Stefan Th. Gries
Base Word List
British National Corpus
categorical
Category=CB
Category=CF
Category=CJA
Category=JNU
Category=PBT
Category=YPA
Category=YPJ
Character Strings
Character Vector
Collector Vectors
corpus data processing with R
Corpus Le
Corpus Linguistics
Cran Task View
data
Data Frame
Data Frame Result
Data Set
Double Square Brackets
eq_bestseller
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
expressions
frame
frequency
Frequency List
independent
Independent Categorical Variable
Individual Word Token
language data visualization
linguistic data analysis
list
Modal Verb
Multi-word Units
Open Source Software
part-of-speech
POS Tag
quantitative text analysis
regular
Regular Expressions
Search Expression
Split Construction
statistical modeling R
tags
text mining techniques
Type Token Ratios
Vector Corpus
Verb Particle Constructions

Product details

  • ISBN 9781138816275
  • Weight: 680g
  • Dimensions: 178 x 254mm
  • Publication Date: 02 Nov 2016
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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 is Professor of Linguistics at University of California, Santa Barbara, USA.

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