Analyzing Linguistic Data - Baayen, R. H.

Analyzing Linguistic Data

A Practical Introduction to Statistics using R. With 42 exercises

R. H. Baayen 

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Analyzing Linguistic Data

A straightforward introduction to the statistical analysis of language data, designed for students with a non-mathematical background.

Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.

Table of contents:
1. An introduction to 'R'; 2. Graphic data exploration; 3. Probability distributions; 4. Basic statistical methods; 5. Clustering and classification; 6. Regression modeling; 7. Mixed models; Appendix A. Solutions to the exercises; Appendix B. Overview of 'R' functions.


Produktinformation

  • Verlag: Cambridge University Press
  • 2008
  • Ausstattung/Bilder: 2008. XIII, 353 p. w. 67 line diagrams, 4 tables and 207 graphs.
  • Seitenzahl: 300
  • Englisch
  • Abmessung: 247mm x 174mm x 21mm
  • Gewicht: 730g
  • ISBN-13: 9780521709187
  • ISBN-10: 0521709180
  • Best.Nr.: 22783873
R. H. Baayen is Professor of Quantitative Linguistics at Radboud University of Nijmegen and the Max Planck Institute for Psycholinguistics, Nijmegen.
1. An introduction to âRâ; 2. Graphic data exploration; 3. Probability distributions; 4. Basic statistical methods; 5. Clustering and classification; 6. Regression modeling; 7. Mixed models; Appendix A. Solutions to the exercises; Appendix B. Overview of âRâ functions.
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