Corpus Linguistics and Statistics with R

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Sprache: Englisch

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Beschreibung

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.

Über den Autor

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

Zusammenfassung

Accessible introduction to quantitative methods for linguistics with emphasis on learning the methods and then applying them with R

Includes downloadable supplementary materials for readers

Suitable for advanced undergraduate courses, graduate courses, and self-study

Inhaltsverzeichnis

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.

Details

Erscheinungsjahr:	2018
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xiii 353 S. 43 s/w Illustr. 55 farbige Illustr. 353 p. 98 illus. 55 illus. in color.
ISBN-13:	9783319878232
ISBN-10:	3319878239
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Desagulier, Guillaume
Auflage:	Softcover reprint of the original 1st edition 2017
Hersteller:	Springer International Publishing
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	254 x 178 x 20 mm
Von/Mit:	Guillaume Desagulier
Erscheinungsdatum:	27.05.2018
Gewicht:	0,692 kg

Artikel-ID: 115379084