Quantitative Corpus Linguistics with R: A Practical Introduction (Paperback) book cover

Quantitative Corpus Linguistics with R

A Practical Introduction

By Stefan Th. Gries

© 2009 – Routledge

252 pages

Purchasing Options:$ = USD
Paperback: 9780415962704
pub: 2009-02-20
SAVE ~$11.79
Hardback: 9780415962711
pub: 2009-02-20
SAVE ~$28.00
eBook (VitalSource) : 9780203880920
pub: 2009-03-04
from $58.95

SAVE 25%
When you buy 2 or more print books!
See final price in shopping cart.
FREE Standard Shipping!
e–Inspection Copy

About the Book

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.


"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

Table of Contents


1. Introduction

1.1 Why Another Introduction to Corpus Linguistics?

1.2 Outline of the Book

1.3 Recommendation for Instructors

2. Three Central Corpus-linguistic Methods

2.1 Corpora

2.2 Frequency Lists

2.3 Lexical Co-occurrence: Collocations

2.4 (Lexico-)Grammatical Co-occurence: Concordances

3. An Introduction to R

3.1 A few Central Notions: Data structures, Functions, and Arguments

3.2 Vectors

3.3 Factors

3.4 Data Frames

3.5 Lists

3.6 Elementary Programming Functions

3.7 Character/String Processing

3.8 File and Directory Operations

4. Using R in Corpus Linguistics

4.1 Frequency Lists

4.2 Concordances

4.3 Collocations

4.4 Excursus 1: Processing Multi-tiered Corpora

4.5 Excursus 2: Unicode

5. Some Statistics for Corpus Linguistics

5.1 Introduction to Statistical Thinking

5.2 Categorical Dependent Variables

5.3 Interval/Ratio Dependent Variables

5.4 Customizing Statistical Plots

5.5 Reporting Results

6. Case Studies and Pointers to Other Applications

6.1 Introduction to the Case Studies

6.2 Some Pointers to Further Applications





About the Author

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

Subject Categories

BISAC Subject Codes/Headings:
EDUCATION / Teaching Methods & Materials / Arts & Humanities
LANGUAGE ARTS & DISCIPLINES / Linguistics / General
MATHEMATICS / Probability & Statistics / General