New Tendencies in Geographical Dialectology
The Catalan Corpus Oral Dialectal (COD)
Esteve Clua | Universitat Pompeu Fabra & Universitat de Barcelona
The goal of this paper is to show that there is a principled way of capturing structural (i.e., qualitative) differences between dialects within a quantitative approach and that the result of applying such methodology to dialect grouping is more accurate than the one obtained on purely qualitative or quantitative grounds. We base our work on data compiled in a corpus of contemporary Catalan, the Corpus Oral Dialectal (COD), gathered with computerization in mind. We first present the characteristics of the COD as well as the main tenets of the quantitative dialectometrical methodology. We then show the kind of linguistic analysis we pursue to distinguish regular phonetic facts from underlying differences, and evaluate the consequences of such distinction for dialectometrics. Finally, we illustrate the results of our research by reviewing the dialectal classification of Valencian Catalan.
Cited by (2)
Cited by two other publications
Zemicheva, Svetlana, Maxim Gromov, Ludmila Dubtsova, Maria Ugryumova, Anna Vasilchenko & Natalia Zyuz’kova
2023.
The Tomsk Dialect Corpus: a comprehensively annotated database of a Siberian Russian dialect from material collected over the last 70 years.
Russian Linguistics 47:2
► pp. 231 ff.
Aurrekoetxea, Gotzon, Aitor Iglesias, Esteve Clua, Iker Usobiaga & Miquel Salicrú
2021.
Analysis of Transitional Areas in Dialectology: Approach with Fuzzy Logic.
Journal of Quantitative Linguistics 28:4
► pp. 337 ff.
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