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• Title:Corpus Linguistics and Statistics with R Introduction to Quantitative Methods in Linguistics / by Guillaume Desagulier.
  
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• Author/Creator:Desagulier, Guillaume.
  
• Other Contributors/Collections:SpringerLink (Online service)
  Springer Nature - Springer Mathematics and Statistics eBooks 2017 English International
  SpringerLink ebooks - Mathematics and Statistics without Lecture Notes (2017)
  
• Published/Created:Cham : Springer International Publishing : Imprint: Springer, 2017.
  
• In:Springer Nature eBook
  

• Holdings

  Holdings Record Display

  • Location:ONLINEWhere is this?
    
  • Call Number: QA276.4-.45
    
  • Number of Items:
    0
  • Status:No information available 

   
• Library of Congress Subjects:Mathematical statistics-Data processing.
  Linguistics.
  Computational linguistics.
  Social sciences-Statistical methods.
  
• Subject(s):Electronic books.
  Statistics and Computing.
  Theoretical Linguistics / Grammar.
  Computational Linguistics.
  Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
  
• Edition:1st ed. 2017.
  
• Description:1 online resource
  
• Series:Quantitative Methods in the Humanities and Social Sciences,
  
• Terms governing use:Access may be restricted to institutions with a site license.
  
• Summary: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.
  
• ISBN:9783319645728
  9783319645704
  9783319645711
  9783319878232
  
• Contents: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.