Year: 2018
Type: conference-paper
Abstract: Metaphorical similarity is a peculiar type of semantic relation, based on a \nvery limited number of features that are shared by the two metaphor terms. The \nnature of these shared features is still largely unknown. Similarly, we know little \nabout whether different modes of metaphor expression (e.g., images, language) use \nthe same types of features to construct metaphors. I hereby report a series of \ndistributional analyses based on a representative sample of pictorial and linguistic \nmetaphors. Three different types of similarity are operationalized through three \ndifferent distributional methodsthat are based on the same underlying principle (the \ndistributional hypothesis) but model semantic representations based on different \ninformation. Based on such analyses I show that the pictorial and the linguistic \nmodes of expression afford different ways to construct metaphors, because they tend \nto exploit different types of features that are shared by the metaphor terms. The \nresults are discussed within a cognitive linguistic framework, in which I defend a \nmulti-layered view of conceptual metaphor, in which image schemas might \nconstitute the most generic layer of representation, at which the difference between \npictorial and linguistic metaphors may disappear.
Author: Marianna Bolognesi
Language: English
Subfield: Linguistics and Language
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2947838042