Quantitative Corpus Linguistics with R: A Practical Introduction / Edition 1

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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

From the Publisher
"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
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Product Details

  • ISBN-13: 9780415962704
  • Publisher: Taylor & Francis
  • Publication date: 2/20/2009
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 260
  • Product dimensions: 6.90 (w) x 9.90 (h) x 1.80 (d)

Meet the Author

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

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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





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