Quantitative corpus linguistics with R

• Verfasst von: Gries, Stefan Thomas [VerfasserIn]
• Titel: Quantitative corpus linguistics with R
• Titelzusatz: a practical introduction
• Verf.angabe: Stefan Th. Gries
• Ausgabe: Second edition.
• Verlagsort: London
• Verlag: Routledge
• Jahr: 2016
• Umfang: 1 online resource
• Fussnoten: Previous edition: 2009. - CIP data; item not viewed
• ISBN: 978-1-317-59765-0
• ISBN: 1-317-59765-6
• ISBN: 978-1-317-59766-7
• ISBN: 1-317-59766-4
• ISBN: 978-1-317-59764-3
• ISBN: 1-317-59764-8
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: R (Langage de programmation)
• Sach-SW: Analyse linguistique (Linguistique) ; Informatique
• Sach-SW: Corpus (Linguistique)
• Sach-SW: Linguistique informatique
• Sach-SW: computational linguistics
• Sach-SW: Computational linguistics
• Sach-SW: Corpora (Linguistics)
• Sach-SW: R (Computer program language)
• K10plus-PPN: 1910523267
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4629574573
• Lokale URL Inst.: Zum Volltext

Abstract

As in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on: data processing and manipulation in general; text processing with and without regular expressions of large bodies of textual and/or literary data, and; basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.