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Semantic distance as a predictor of metaphor selection

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Abstract

Empirical research on metaphor has focused on the interpretation and comprehension of figurative language, while ignoring the production or encoding of metaphors. This research presents a basic model that attempts to explain the encoding of metaphors in expressive communication. A basic premise of the model is that similarity in connotative meaning, measured as proximity in semantic space, leads to metaphor selection. Two experiments that tested the premise are described here. The first utilized a semantic differential based on Osgood's work, while the second utilized a specially developed instrument. Results of both experiments supported the hypothesis.

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Clevenger, T., Edwards, R. Semantic distance as a predictor of metaphor selection. J Psycholinguist Res 17, 211–226 (1988). https://doi.org/10.1007/BF01686356

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