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Sixta Quassdorf
Title
Dr.
Last Name
Quassdorf
First name
Sixta
Email
sixta.quassdorf@unisg.ch
Phone
+41712242402
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PublicationA 'key to all quotations'? A corpus-based parameter model of intertextualityCategorization and taxonomy are topical issues in intertextuality studies. Instead of increasing the number of overlapping or contradictory definitions (often established with reference to limited databases) which exist even for key concepts such as "allusion " or "quotation", we propose an electronically implemented data-driven approach based on the isolation, analysis and description of a number of relevant parameters such as general text relation, marking for quotation, modification etc. If a systematic parameter analysis precedes discussions of possible correlations and the naming of features bundles as composite categories, a dynamic approach to categorization emerges which does justice to the varied and complex phenomena in this field. The database is the HyperHamlet corpus, a chronologically and generically wide-ranging collection of Hamlet references that confront linguistic and literary researchers with a comprehensive range of formal and stylistic issues. Its multi-dimensional encodings and search facilities provide the indispensable ‘freedom from the analytic limits of hardcopy', as Jerome McGann put it. The methodological and heuristic gains include a more complete description of possible parameter settings, a clearer recognition of multiple parameter settings (as implicit in existing genre definitions), a better understanding of how parameters interact, descriptions of disregarded literary phenomena that feature unusual parameter combinations and, finally, descriptive labels for the most polysemous areas that may clarify matters without increasing taxonomical excess.Type: journal articleJournal: Literary and Linguistic ComputingVolume: 25Issue: 3DOI: 10.1093/llc/fqq003
Scopus© Citations 12 -
PublicationQuotations and their co(n)texts : Corpus-based insights into discoursing with HamletThe HyperHamlet database which is being developed at the English Department of the University of Basel confirms the intuition that literary quotations come in many shapes, and that readers may perceive them even if they do not know the source text. The paper focuses on the ways of signalling the presence of an extraneous string of words, and in particular discusses variants of clues offered by the embedding co(n)text. This includes obvious markers such as quotation tags or typographical elements, but also more implicit phenomena such as marking by genre, marking by deviance, or multiple marking. One conclusion is the necessity of contextualizing the importance of quotation marks, which are often discussed as the defining criterion of quotations, predetermining the data sets selected for investigation. This wide-spread approach, however, limits insight, since other unambiguous markers may co-occur with or even substitute quotation marks.