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English similarity predicates construe particular dimensions of similarity

  • Alon Fishman EMAIL logo
From the journal Cognitive Linguistics

Abstract

This paper investigates the ways English speakers employ the predicates like, similar, and resemble to express similarity in natural speech. A corpus of 450 instances was created and manually coded, and an acceptability rating experiment was conducted. Converging evidence from the corpus analysis and the experiment shows that the three predicates occur with the same range of uses, but differ in their propensities to occur with particular dimensions of similarity. Specifically, like is associated with metaphorical comparisons, and resemble is associated with visual comparisons. A synchronic account of these findings is developed, based on a distinction between conventionally encoded meaning and prototypical usage. A diachronic account is also proposed, highlighting the commonality in the predicates’ conceptual origins and the differences in their historical usage. This work has theoretical and methodological implications for the study of similarity. In particular, it raises the possibility that previous findings may be distorted due to a reliance on certain similarity predicates in the phrasing of experimental instructions and stimuli. It also ties into debates on synonymy, suggesting a shift in attention from a distinction between denotational and associative meaning, to the aforementioned distinction between conventional and prototypical meaning.

Acknowledgements

I wish to thank Mira Ariel, Yeshayahu Shen, Malka Rappaport Hovav, and participants at IGDAL 5 for insightful comments on earlier versions of this paper. I am also grateful for the constructive criticism and valuable suggestions by Dagmar Divjak, Dasha Hanzlikova and three anonymous reviewers. This research was supported by the Israel Science Foundation (grant no. 431/15 to Mira Ariel, and grant no. 1196/12 to Yeshayahu Shen).

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cog-2018-0086).


Received: 2018-08-03
Revised: 2020-01-06
Accepted: 2020-01-08
Accepted: 2020-01-08
Published Online: 2020-02-18
Published in Print: 2020-08-27

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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