Results 261 to 270 of about 61,220 (281)
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2017
While both pragmatic theory and experimental investigations of language using psycholinguistic methods have been well-established subfields in the language sciences for a long time, the field of Experimental Pragmatics, where such methods are applied to pragmatic phenomena, has only fully taken shape since the early 2000s.
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While both pragmatic theory and experimental investigations of language using psycholinguistic methods have been well-established subfields in the language sciences for a long time, the field of Experimental Pragmatics, where such methods are applied to pragmatic phenomena, has only fully taken shape since the early 2000s.
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EXPERIMENTAL AND PRAGMATIC APPROACHES TO PATTERN RECOGNITION
Kybernetes, 1978A purely theoretical approach has been found to be of limited value in the solution of practical Pattern Recognition problems. Difficulties arise when relating infinite mathematics to reality, e.g. “algorithmic convergence” must be replaced by a vaguer notion of “satisfactory performance”.
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Mecanoo—experimental Pragmatism by Pietro Valle
Journal of Urban Design, 2009Milan, Skira Editore, £17.95, 212 pp., (pbk), ISBN-10: 887624655X, ISBN-13: 978-8876246555 For more than two decades The Netherlands has asserted itself as the most modern of European countries—the...
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Experimental Pragmatics: An Introduction for Philosophers
Philosophy Compass, 2014Abstract In the past several decades, psychologists and linguists have begun experimentally investigating linguistic pragmatic phenomena. They share the assumption that the best way to study the use of language in context incorporates an experimental methodology, here understood to comprise controlled studies and careful field ...
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The pragmatics of information retrieval experimentation, revisited
Information Processing & Management, 1992Abstract The decisions that must be made by an investigator in carrying out an information retrieval experiment are described. Guidance is provided on a number of issues, specifically determining the need for testing, choosing the type of test (laboratory or operational), defining the variables, developing or using databases, finding queries ...
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