Statistical Methods in Language and Linguistic Research

Statistical Methods in Language and Linguistic Research


By (author) Pascual Cantos Gomez

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  • Publisher: Equinox Publishing Ltd
  • Format: Paperback | 272 pages
  • Dimensions: 156mm x 232mm x 22mm | 399g
  • Publication date: 30 January 2013
  • Publication City/Country: London
  • ISBN 10: 1845534328
  • ISBN 13: 9781845534325
  • Illustrations note: 77 figures
  • Sales rank: 323,039

Product description

The aim of this book is try to illustrate with numerous examples how quantitative methods can most fruitfully contribute to linguistic analysis and research. In addition, it does not intend to offer an exhaustive presentation of all statistical techniques available to linguistics, but to demonstrate the contribution that statistics can and should make to linguistic studies. This book shows how quantitative methods and statistical techniques can supplement qualitative analyses of language. It attempts to present some mathematical and statistical properties of natural languages, and introduces some of the quantitative methods which are of the most value in working empirically with texts and corpora, illustrating the various issues with numerous examples and moving from the most basic descriptive techniques to decision-taking techniques and to more sophisticated multivariate statistical language models.

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Author information

Pascual Cantos Gomez has been a lecturer in the Department of English Language and Literature at Universidad de Murcia, Spain, since 1990. Prior to this he had spent two years teaching English in a secondary school and the Escuela Oficial de Idiomas of Murcia. His main research interests are in Corpus Linguistics, Quantitative Linguistics, Computational Lexicography and Computer Assisted Language Learning. He is a member of the Linguistica Aplicada a la Computacion, Ensenanza de Lenguas y Lexicografi Research Group at the University of Murcia.

Table of contents

Preface 1. Some Basic Issues 2. Scales and Variables 3. Parametric Versus Non-parametric Statistics 4. Reducing Dimensionality: Multivariate Statistics 5. Word Frequency Lists 6. Words in Context Appendix 1: Standard Normal Distribution Appendix 2: Examples of Appropriate Statistics Appendix 3: T-distribution Appendix 4: F-distribution Appendix 5: Pearson Product-moment Correlation Coefficient Appendix 6: U-distribution for a Two-tailed Mann-Whitney Test Appendix 7: Sign Test Appendix 8: Chi-square Distribution Appendix 9: Spearman Rank Correlation Coefficient