Corpus Linguistics and Statistics with R

Introduction to Quantitative Methods in Linguistics

Guillaume Desagulier (Autor)

Buch | Softcover

XIII, 353 Seiten

2018 | 1. Softcover reprint of the original 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-87823-2 (ISBN)

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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	01.12.2018
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	6902 g
Themenwelt	Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Anglistik / Amerikanistik
	Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft
	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
	Mathematik / Informatik ► Mathematik ► Statistik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	categorical data • Clustering Methods • Data Organization • frequency data • linguistics with R • Modeling • quantitative methods for linguistics • regression methods • R package linguistics • statistics for linguistics • textual data analysis
ISBN-10	3-319-87823-9 / 3319878239
ISBN-13	978-3-319-87823-2 / 9783319878232
Zustand	Neuware