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Quantitative Corpus Linguistics with R: A Practical Introduction [Kindle Edition]

Stefan Th. Gries
4.2 out of 5 stars  See all reviews (5 customer reviews)

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  • Print ISBN-10: 0415962714
  • Print ISBN-13: 978-0415962711
  • Edition: 1

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Book Description

The first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.


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Editorial Reviews

Review

"This book is a must for every corpus linguist's desk right beside the computer - that's where it does its wonders." - International Journal of Corpus Linguistics

About the Author

Stefan Th. Gries is Professor of Linguistics at the University of California, Santa Barbara, USA.


Product Details

  • File Size: 1261 KB
  • Print Length: 257 pages
  • Page Numbers Source ISBN: 0415962706
  • Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
  • Publisher: Routledge; 1 edition (February 20, 2009)
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B001Y35H5A
  • Text-to-Speech: Enabled
  • X-Ray:
  • Lending: Not Enabled
  • Amazon Best Sellers Rank: #251,983 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Customer Reviews

4.2 out of 5 stars
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4.2 out of 5 stars
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Most Helpful Customer Reviews
10 of 11 people found the following review helpful
Format:Kindle Edition|Verified Purchase
This book was not just written, it was designed--and well designed to teach readers about both corpus linguistics and the R statistics package. This electronic version allows busy readers with Kindles or iPhones to study productively during long commutes, even longer delays at the doctor's office, and endless unpunctuated speeches by boorish colleagues in staff meeting.

The six chapters of Stephan Th. Gries' book unfold in an instructionally sound sequence. Chapter 1 briefly introduces corpus linguistics and directs readers elsewhere for a thorough treatment of its history and theories. The second chapter defines word frequency lists, word collocations, and concordances--three basic analysis tools of the discipline. Chapter 3 shifts focus and introduces the R software. This is an excellent and thorough coverage of R data manipulation, programming, and the text processing needed to analyze linguistic corpora.

Building on this foundation, the book integrates R with linguistic analysis. Chapter 4 revisits word lists, collocations and concordances, teaching readers to implement these methods in R. Chapter 5 reviews the basics of statistical reasoning and introduces additional analysis techniques in R. Chapter 6 presents case studies and points readers to the book's supporting web site for associated data files and R syntax files.

The book is considerate of the reader. It uses only freely-available, open source software such as R, the Tinn-R text editor, and OpenOffice Calc. Beyond the price of the book and access to a computer, the author intends no financial barriers to learning. The micro-design of the chapters is also reader-friendly. R code and output are clearly marked and helpfully annotated.
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3 of 3 people found the following review helpful
2.0 out of 5 stars Do not use as a primary text May 16, 2013
Format:Paperback
A non-programmer friend took a course with this book and asked me for help in learning R. I was surprised, since my experience was that corpus linguistics people rarely do any programming. Besides, I never thought of R as a tool for text processing.

Chapter One, 6 pages. In the introduction, the author claims that R is easier than Perl or Python for manipulating text. He argues that being able to program will allow you to do more interesting stuff than you can do with just a concordancing program.

Chapter Two, 12 pages. This is a concise explanation of what is involved in corpus-based analysis. He argues that all of corpus analysis boils down to frequency lists, collocation lists, and concordances. The two main non-simple issues are defining what a word is and processing tagged text.

Chapter Three, 86 pages. His whirlwind survey of essential features of R and regular expressions does not have a clear structure. There is far too little development going from simple to complex examples. Even knowing some R, I found the explanations required much rereading. I heard the students in the above mentioned course were extremely frustrated.

I agree with another reviewer that the code listings are badly displayed. More importantly, conventions used are not consistent through the chapters and accompanying web site, and are not consistent with good practice in the R community. There are many deeply nested functions, overuse of periods in names, a lack of whitespace, and long comments as single lines.

Chapter Four, 68 pages. Here is the justification for the book, examples of using R in corpus linguistics. They are all simple tasks using regular expressions to filter combinations of words and tags and to format output lines.
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2 of 2 people found the following review helpful
5.0 out of 5 stars Very Useful book April 25, 2009
Format:Paperback
If you already work with Corpus Linguistics or plan on doing so, this is a book you MUST have, read thoroughly and ensure its application. The use of R as a tool to both manipulate and analyze corpus data is surely an important step towards a more systematic and more quantitatively-oriented CL. Sure enough, this book is the biggest contribution towards this end thus far!
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5.0 out of 5 stars Extremely pedagogic introduction to R February 5, 2010
Format:Paperback|Verified Purchase
When I started reading this book, I knew nothing about R but I was able to follow every single paragraph and example, as all the steps are clearly explained and nothing is taken for granted. Also, the exercises found in the companion website are of great help to acquire the needed practice. This is the perfect textbook for any introductory course to applied corpus linguistics or empirical linguistics.
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0 of 1 people found the following review helpful
5.0 out of 5 stars Great book for corpus analysis and R! September 28, 2010
Format:Paperback|Verified Purchase
I have only started reading the book, but it seems like it will be very helpful for my dissertation analyses. I have never used R before, but with the book instructions, I have been able to understand basic commands. I'm not yet far enough to see how easy useful commands will be, but things so far are very well explained. I do have a background in computer science and linguistics, but I haven't used many scripting languages and certainly not for a long time.
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