Abstract

This study aims at modeling the semantic similarity between metaphor terms by means of a distributional method based on a Big Data stream: Flickr tags. As explained in the article, this distributional model, Flickr Distributional Tagspace (FDT), captures primarily relational similarity between concept pairs, that is, between tags that appear in similar tagsets (and therefore in similar pictures). A long established view in metaphor theory claims that metaphors pertain to the conceptual dimension of meaning, but while different models aim at explaining how language constructs and represents metaphorical conceptual structures, we still know very little about how other modalities (for example images) achieve metaphor construction and expression. A comprehensive theory, that argues in favor of the conceptual nature of metaphor, cannot afford to be biased toward the analysis and modeling of one specific modality of expression, thus neglecting potential modality-specific differences. The present study, conducted through FDT, found that visual and linguistic metaphors behave differently, in that the similarity between two aligned concepts in a visual metaphor appears to be significantly higher than the similarity between two concepts aligned in a linguistic metaphor (which, in turn, does not differ substantially from the similarity between two randomly paired concepts). These findings suggest that the relational similarity between two metaphor terms (captured and modeled through FDT) is crucial for visual metaphors but not for linguistic metaphors. An additional content analysis, also reported here, shows that the type of semantic information encoded in the related tags (i.e. the contexts on which the contingency matrices of this distributional method are built) differs, in relation to the modality of the metaphor: while situation-related and entity-related features are typically associated with concepts aligned in visual metaphors, introspections and taxonomic features are typically associated with concepts aligned in linguistic metaphors.

Highlights

  • Metaphor is recognized nowadays as a cognitive mechanism, rather than a simple figure of speech (Lakoff and Johnson, 1980; Lakoff, 1993)

  • Modeling Metaphors through Flickr Tag Distributions we are not going anywhere, suggest that when we deal with the abstract concept of LOVE, we might somehow envision a concrete journey going along a path

  • A chi-square analysis was run on the nested categories data, and the results suggest that the nested category distributions of visual vs. linguistic metaphors differ

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Summary

Introduction

Metaphor is recognized nowadays as a cognitive mechanism, rather than a simple figure of speech (Lakoff and Johnson, 1980; Lakoff, 1993). Modeling Metaphors through Flickr Tag Distributions we are not going anywhere, suggest that when we deal with the abstract concept of LOVE (by convention, capital letters are used when referring to a concept or a conceptual domain), we might somehow envision a concrete journey going along a path. This conceptualization allows us to extend the metaphor, and imagine the two lovers as two travelers, the difficulties in the relationship as impediments on the journey, and the lovers’ goals as the travel destination. As the metaphor becomes conventional and frequently used, crossroads would become an acquired member of the conceptual category instantiated by the target of the metaphor and understood in that context by means of semantic disambiguation among different senses held by crossroads

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