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Argument Differentiation. Soft constraints and data-driven models


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Title: Argument Differentiation. Soft constraints and data-driven models
Authors: Øvrelid, Lilja
Issue Date: 2008
University: Göteborgs universitet/University of Gothenburg
Institution: Department of Swedish
Institutionen för svenska språket
Date of Defence: 2008-05-31
Disputation: Lilla hörsalen, Humanisten. kl 10:15
Publication type: Doctoral thesis
Series/Report no.: Data linguistica
20
Abstract: The ability to distinguish between different types of arguments is central to syntactic analysis, whether studied from a theoretical or computational point of view. This thesis investigates the influence and interaction of linguistic properties of syntactic arguments in argument differentiation. Cross-linguistic generalizations regarding these properties often express probabilistic, or soft, constraints, rather than absolute requirements on syntactic structure. In language data, we observe freq... more
ISBN: 978-91-87850-35-6
ISSN: 0347-948X
URI: http://hdl.handle.net/2077/17287
Appears in Collections:Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet
Data linguistica

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