Diachronic Dialectology

New Methods and Case Studies in Medieval Norwegian

Tamsin S. T. Blaxter

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English

Wiley-Blackwell
04 February 2022

Historical & comparative linguistics; European history; Medieval history

Series: Publications of the Philological Society

This book presents the use of kernelsmoothing, a family of methods adapted from fields such as signal processing, as a way to identify the true spatial distribution of linguistic forms at particular points in time.

Discusses the use of kernel smoothing in historical dialectology and new approaches to parameter setting Presents a series of case studies from the history of Norwegian language Investigates some of the major phonological and morphosyntactic shifts which transformed the language from Old Norwegian through Middle to early Modern Norwegian Demonstrates how the kernel smoothing method allows us to see how these changes spread from place to place, and these findings are used to throw light on a number of more general research questions of interest to an audience beyond Scandinavianists A step-by-step guide to kernel smoothing is offered, so that non-experts can apply the approach to their own data

By: Tamsin S. T. Blaxter
Imprint: Wiley-Blackwell
Country of Publication: United Kingdom
Dimensions: Height: 230mm, Width: 154mm, Spine: 14mm
Weight: 454g
ISBN: 9781119858973
ISBN 10: 1119858976
Series: Publications of the Philological Society
Pages: 272
Publication Date: 04 February 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

After a BA in Linguistics at the University of Essex, Tamsin Blaxter did her MPhil in General Linguistics and Comparative Philology at the University of Oxford, with a dissertation that explored gendered language in the medieval Íslendingasögur. For her PhD at the University of Cambridge, she worked on language change and space in medieval Norway. Her work focuses on new methods of gathering and exploring large datasets in variationist linguistics, with a particular interest in space.