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dc.contributor.advisorKirby, Simon
dc.contributor.authorCochran, Dave
dc.date.accessioned2007-10-29T10:05:49Z
dc.date.available2007-10-29T10:05:49Z
dc.date.issued2006
dc.identifier.urihttp://hdl.handle.net/1842/2042
dc.description.abstractThis thesis describes the development of a system of Data-Oriented Generation (DOG) wherein noun-phrases are produced as descriptions of simple visual stimuli. This is work towards a broader goal of developing a psycholinguistically realistic Data-Oriented theory of Sentence Generation. Technologically, this is timely because, after sixteen years of research into Data-Oriented Parsing (DOP; the formalism was first proposed by Scha (1990), first implemented by Bod (1992) and has been further developed , for example, by Bod, (1998, 2003, 2006b), Bod, Bonnema and Scha (1996), Bod and Kaplan (1998) Goodman (2003), Hoogweg (2000), no-one has yet produced a system for Data-Oriented Generation. Rather than use a logic-like formalism to encode meaning, the model of generation proposed operates by directly coupling linguistic exemplars with exemplars in other modalities – vision, in the present case, though, it is hoped that the model could be extended into other meaning-providing modalities.en
dc.format.extent668944 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.subjectsentence generationen
dc.subjectlinguisticsen
dc.titleUnmediated data-oriented generationen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelMastersen
dc.type.qualificationnameMSc Master of Scienceen
dcterms.accessRightsRestricted Accessen_US


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