Frequency, dispersion, association, and keyness revising and tupleizing corpus-linguistic measures / Stefan Th. Gries, University of California, Santa Barbara.

Author/creator Gries, Stefan Thomas, 1970-
Format Electronic
Publication InfoAmsterdam ; Philadelphia : John Benjamins Publishing Company, 2024.
Descriptionpages cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

SeriesStudies in corpus linguistics, 1388-0373 ; volume 115
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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2024023008
ISBN9789027214928 (hardcover)
ISBN(pdf)

Availability

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