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Christoph Wolk ;Revista Brasileira de Linguística Aplicada 2011, 11 2

Autor: Benedikt Szmrecsanyi

Fuente: http://www.redalyc.org/articulo.oa?id=339829635011


Revista Brasileira de Linguística Aplicada ISSN: 1676-0786 rblasecretaria@gmail.com Universidade Federal de Minas Gerais Brasil Szmrecsanyi, Benedikt; Wolk, Christoph Holistic corpus-based dialectology Revista Brasileira de Linguística Aplicada, vol.
11, núm.
2, abril-junio, 2011, pp.
561-592 Universidade Federal de Minas Gerais Belo Horizonte, Brasil Available in: http:--www.redalyc.org-articulo.oa?id=339829635011 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Holistic corpus-based dialectology Dialetologia holística baseada em corpus Benedikt Szmrecsanyi* Christoph Wolk** Freiburg Institute for Advanced Studies Freiburg - Germany ABSTRACT: This paper is concerned with sketching future directions for corpusbased dialectology.
We advocate a holistic approach to the study of geographically conditioned linguistic variability, and we present a suitable methodology, ‘corpusbased dialectometry’, in exactly this spirit.
Specifically, we argue that in order to live up to the potential of the corpus-based method, practitioners need to (i) abandon their exclusive focus on individual linguistic features in favor of the study of feature aggregates, (ii) draw on computationally advanced multivariate analysis techniques (such as multidimensional scaling, cluster analysis, and principal component analysis), and (iii) aid interpretation of empirical results by marshalling state-of-the-art data visualization techniques.
To exemplify this line of analysis, we present a case study which explores joint frequency variability of 57 morphosyntax features in 34 dialects all over Great Britain. KEYWORDS: corpus-based dialectology; holistic approach; corpus-based dialectometry; feature aggregates; multivariate analysis; visualization techniques...

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