Frequency, dispersion, association, and keyness

• Verfasst von: Gries, Stefan Thomas [VerfasserIn]
• Titel: Frequency, dispersion, association, and keyness
• Titelzusatz: revising and tupleizing corpus-linguistic measures
• Verf.angabe: Stefan Th. Gries
• Verlagsort: Amsterdam ; Philadelphia
• Verlag: John Benjamins Publishing Company
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: vii, 321 Seiten
• Illustrationen: Diagramme
• Gesamttitel/Reihe: Studies in corpus linguistics ; volume 115
• ISBN: 978-90-272-1492-8
• Schlagwörter: (s)Korpus <Linguistik> / (s)Statistische Analyse
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Online-Ausgabe: Gries, Stefan Thomas, 1970 - : Frequency, dispersion, association, and keyness. - Amsterdam : John Benjamins Publishing Company, 2024. - 1 Online-Ressource (VII, 321 Seiten)
• Bibliogr. Hinweis: Erscheint auch als : Online-Ausgabe: Gries, Stefan Thomas, 1970 - : Frequency, Dispersion, Association, and Keyness. - Amsterdam : John Benjamins Publishing Company, 2024. - 1 Online-Ressource (vii, 321 Seiten)
• RVK-Notation: ES 900
• K10plus-PPN: 189434572X

Abstract

"This book is an attempt to revisit the main specifically corpus-linguistic statistics/measures the field has been relying on for decades: frequency, dispersion, association, and keyness. The book first discusses the purpose of these measures and how these have been measured. Then, the book makes three main proposals: First, that many measures of dispersion, association, and keyness are too confounded with frequency and how to 'take frequency out of them' to obtain conceptually cleaner / more interpretable measures. Second, that many existing measures can be replaced by the simple information-theoretic measure of the Kullback-Leibler divergence and that it, too, can have frequency 'removed' from it. Third, that corpus linguistics should abandon the tradition of trying to describe our findings with a single number and adopt a tupleization approach instead, where we use several separate dimensions of information for description and interpretation. The book is written in an informal, hands-on style and comes with its own R package featuring functions, example data, and several thousand lines of code exemplifying all applications"--