The "default" in our stars: Signposting non-defaultness in ironic discourse.

A non-default interpretation is required whenever speakers creatively depart from established norms and defaults. But effective speakers do not travel alone when they move away from default meanings to novel, nondefault destinations. Effective speakers bring their readers with them, sometimes by mak...

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Bibliographic Details
Published in:Metaphor & Symbol Vol. 33; no. 3; pp. 175 - 185
Main Author: Veale, Tony
Format: Article
Published: Taylor & Francis Ltd Jul-Sep2018
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Jul-Sep2018
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        10.1080/10926488.2018.1481262
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        atl: The "default" in our stars: Signposting non-defaultness in ironic discourse.
      aug:
        au: Veale, Tony
        affil: University College Dublin
      su:
        Psycholinguistics
        Psychology
        Creativity (Linguistics)
        Irony
        Conscious automata
        Machine learning
      sug:
        subj:
          Psycholinguistics
          Psychology
          Creativity (Linguistics)
          Irony
          Conscious automata
          Machine learning
      ab: A non-default interpretation is required whenever speakers creatively depart from established norms and defaults. But effective speakers do not travel alone when they move away from default meanings to novel, nondefault destinations. Effective speakers bring their readers with them, sometimes by making the non-default destination the only meaningful destination that can be reached with an utterance, but other times by helpfully-if subtly-marking their utterances to facilitate the dislocation of words and meanings. We consider the relative utility of different indicators of nondefaultness in this article, ranging from the subtle to the overt. Our approach argues for the usefulness of machine-generated texts when quantitatively exploring aspects of human linguistic creativity, since machine-tooled utterances can better assure the consistency and comparability of novel utterances that are designed to offer strikingly original points of view. Within this mechanical framework, we measure the extent of the shift from default to non-default interpretations via the downshift from positive to negative affect in machine-generated ironic utterances. In using machine-generated texts, our approach and its results also argue for the possibility that intelligent machines can craft creative utterances of their own, and effectively communicate an ironic point-of-view to human readers.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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