The Role of Concept Characteristics in Lexical Dialectometry

Dirk Speelman and Dirk Geeraerts

in Computing and Language Variation

Published by Edinburgh University Press

Published in print December 2009 | ISBN: 9780748640300
Published online September 2012 | e-ISBN: 9780748671380 | DOI:
The Role of Concept Characteristics in Lexical Dialectometry

More Like This

Show all results sharing this subject:

  • Language Teaching and Learning


Show Summary Details


An important assumption underlying most if not all methods of dialectometry is that the automated analysis of the differences in language use between different locations, as they are recorded by dialectologists in large scale surveys, can reveal patterns which directly reflect regional variation. Focusing on lexical variation, this chapter examines the role of concept characteristics in lexical dialectometry in three consecutive logical steps. First, it conducts a regression analysis of data taken from a large lexical database of Limburgish dialects in Belgium and the Netherlands to show that concept characteristics such as concept salience, concept vagueness and negative affect contribute to the lexical heterogeneity in the dialect data. Next, it demonstrates that the relationship between concept characteristics and lexical heterogeneity influences the results of conventional lexical dialectometric measurements. Finally, the chapter proposes a lexical dialectometric method in which concept characteristics form the basis of a weighting schema that determines to which extent concept specific dissimilarities can contribute to the aggregate dissimilarities between locations.

Keywords: dialectometry; lexical variation; regional variation; concept vagueness; concept characteristics; Limburgish dialects; Belgium; Netherlands; concept salience; negative affect

Chapter.  8902 words.  Illustrated.

Subjects: Language Teaching and Learning

Full text: subscription required

How to subscribe Recommend to my Librarian

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.