historical dialectology
A01=Tamsin S. T. Blaxter
Age Group_Uncategorized
Age Group_Uncategorized
Author_Tamsin S. T. Blaxter
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Category1=Non-Fiction
Category=CFF
Category=HBJD
Category=HBLC1
Category=NHD
COP=United Kingdom
Delivery_Delivery within 10-20 working days
dialectology
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eq_dictionaries-language-reference
eq_history
eq_isMigrated=2
eq_nobargain
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Language_English
Linguistics
morphosyntactic shifts
Norwegian
Old Norwegian
PA=Available
phonological
Price_€20 to €50
PS=Active
Scandinavianists
softlaunch
language
kernel smoothing
Product details
- ISBN 9781119858973
- Weight: 454g
- Dimensions: 154 x 230mm
- Publication Date: 04 Feb 2022
- Publisher: John Wiley and Sons Ltd
- Publication City/Country: GB
- Product Form: Paperback
- Language: English
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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
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.
