Corpus Linguistics and Statistics with R - Guillaume Desagulier

Corpus Linguistics and Statistics with R

Introduction to Quantitative Methods in Linguistics
Buch | Hardcover
XIII, 353 Seiten
2017 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-64570-4 (ISBN)
149,79 inkl. MwSt
This textbook examines empirical linguistics from a theoretical linguist's perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.

Guillaume Desagulier is an Associate Professor of English grammar and linguistics at Paris 8 University and President of the French Cognitive Linguistics Association (2015-).

Introduction.- R Fundamentals.- Digital Corpora.- Processing and Manipulating Character Strings.- Applied Character String Processing.- Summary Graphics for Frequency Data.- Descriptive Statistics.- Notions of Statistical Testing.- Association and Productivity.- Clustering Methods.

"The fine expository qualities of CLSR, together with the sheer enthusiasm and generosity of its author, do everything to encourage its readers to use the rich and various resources R makes available to explore and discover new ways of addressing familiar problems." (Graham Ranger, Corpora, Vol. 14 (2), 2019)

“The fine expository qualities of CLSR, together with the sheer enthusiasm and generosity of its author, do everything to encourage its readers to use the rich and various resources R makes available to explore and discover new ways of addressing familiar problems.” (Graham Ranger, Corpora, Vol. 14 (2), 2019)

Erscheinungsdatum
Reihe/Serie Quantitative Methods in the Humanities and Social Sciences
Zusatzinfo XIII, 353 p. 98 illus., 55 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 178 x 254 mm
Gewicht 832 g
Themenwelt Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte categorical data • Clustering Methods • Computational Linguistics • Data Organization • frequency data • grammar • Grammar, syntax & morphology • Grammar, syntax & morphology • linguistics with R • Mathematical & statistical software • Mathematical & statistical software • mathematics and statistics • Modeling • probability & statistics • Probability & statistics • quantitative methods for linguistics • regression methods • R package linguistics • Social research & statistics • Social research & statistics • Statistics and Computing/Statistics Programs • statistics for linguistics • Statistics for Social Science, Behavorial Science, • textual data analysis
ISBN-10 3-319-64570-6 / 3319645706
ISBN-13 978-3-319-64570-4 / 9783319645704
Zustand Neuware
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