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Diachronic Dialectology

Tamsin S. T. Blaxter

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Paperback / softback
04-February-2022
$57.00
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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

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$57.00
Ships in 3-5 business days
Hurry up! Current stock:

Diachronic Dialectology

$57.00

Description

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

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