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Corpus Linguistics and Statistics with R

Introduction to Quantitative Methods in Linguistics

Guillaume Desagulier author

Format:Paperback

Publisher:Springer International Publishing AG

Published:27th May '18

Currently unavailable, and unfortunately no date known when it will be back

Corpus Linguistics and Statistics with R cover

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.

“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)

ISBN: 9783319878232

Dimensions: unknown

Weight: 6902g

353 pages

Softcover reprint of the original 1st ed. 2017