Andreas Dufter & Jürg Fleischer 
Describing and Modeling Variation in Grammar [PDF ebook] 

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While variation within individual languages has traditionally been focused upon in sociolinguistics, its relevance for grammatical theory has only recently been acknowledged. On the methodological side, there is an ongoing competition between large-scale statistical analyses and investigations that rely more heavily on introspection and elicited grammaticality judgements.

The aim of this volume is to bridge the ‘cultural gap’ between empirical-variationist and formal-theoretical approaches in linguistics. The volume offers case studies that seek to combine corpus-based and competence-based approaches to the description of variation. In doing so, it opens up new avenues for locating and analyzing variability, both at the level of the individual speaker and between speakers of different dialects and generations. The contributions document the plurality of current research into models of grammatical competence that live up to the challenge of variationist data. More specifically, parameter-based (e.g. Minimalist), constraint-based (e.g. Optimality Theoretic), and usage-based (e.g. Construction Grammar) approaches to variation are discussed.

The volume therefore is of interest to a broad public within linguistics, including syntacticians of different theoretical persuasion, morphologists and sociolinguists. While a majority of contributions addresses facets of variation in English and German, the volume also includes variationist studies written by specialists of French, Dutch, Icelandic, and Uralic.

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A propos de l’auteur

Andreas Dufter, Ludwig-Maximilians-Universität München, Germany; Jürg Fleischer, Philipps-Universität Marburg, Germany; Guido Seiler, University of Manchester, UK.

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Langue Anglais ● Format PDF ● Pages 418 ● ISBN 9783110216097 ● Taille du fichier 1.7 MB ● Éditeur Andreas Dufter & Jürg Fleischer ● Maison d’édition De Gruyter ● Lieu Basel/Berlin/Boston ● Publié 2009 ● Édition 1 ● Téléchargeable 24 mois ● Devise EUR ● ID 6292259 ● Protection contre la copie Adobe DRM
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