Variation across Speech and Writing

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Computational techniques are used to analyze the linguistic characteristics of twenty-three spoken and written genres, and facilitate the identification of basic, underlying dimensions of variation in English.
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Overview

Computational techniques are used to analyze the linguistic characteristics of twenty-three spoken and written genres, and facilitate the identification of basic, underlying dimensions of variation in English.
Read More Show Less

Editorial Reviews

From the Publisher
"By far the most extensive quantitative investigation of spoken-written language differences has been the recent stunning research of Biber..." W. Chafe and D. Tannen |x

"This work is an important landmark in several aspects. It is the most comprehensive objective study ever undertaken of variation across representative genres of speech and writing. It is the most far-reaching research into variation, bringing to bear a large number of linguistic variables on a large number of texts. It is one of the most sophisticated examples of advanced statistical technique ever applied to linguistic data, and it is a model of how to use (and how to explain the use of) factor analysis....Biber has produced a landmark study deserving a wide audience." Robert S. Wachal, American Speech

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Product Details

  • ISBN-13: 9780521320719
  • Publisher: Cambridge University Press
  • Publication date: 10/27/1988
  • Pages: 320
  • Product dimensions: 5.98 (w) x 8.98 (h) x 0.98 (d)

Table of Contents

List of figures xi
List of tables xiii
Acknowledgments xv
Part I Background concepts and issues 1
1 Introduction: textual dimensions and relations 3
2 Situations and functions 28
3 Previous linguistic research on speech and writing 47
Part II Methodology 59
4 Methodological overview of the study 61
5 Statistical analysis 79
Part III Dimensions and relations in English 99
6 Textual dimensions in speech and writing 101
7 Textual relations in speech and writing 121
8 Extending the description: variation within genres 170
9 Afterword: applying the model 199
Appendix I Texts used in the study 208
Appendix II Linguistic features: algorithms and functions 211
Appendix III Mean frequency counts of all linguistic features in each genre 246
Appendix IV Pearson correlation coefficients for all linguistic features 270
References 280
Index 293
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