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In:Metaphor and Metonymy in the Digital Age: Theory and methods for building repositories of figurative language
Edited by Marianna Bolognesi, Mario Brdar and Kristina Š. Despot
[Metaphor in Language, Cognition, and Communication 8] 2019
► pp. 23–48

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Chapter 1
MetaNet

Automated metaphor identification across languages and domains

 | UC Berkeley
 | UC Berkeley
Published online: 6 August 2019
DOI logo with link
https://doi.org/10.1075/milcc.8.02swe
We showcase some of the defining characteristics of the architecture of the MetaNet Automated Metaphor Identification System that make it stand out relative to other metaphor database and computational metaphor identification endeavors. The discussion focuses on the central role played by grammatical constructions in automatically discovering metaphoric language in large corpora, providing examples across the four languages studied – English, Spanish, Farsi, and Russian. Among the many target domains studied, we provide examples from Taxation (e.g., taxes weigh me down, taxation is a burden ). Although the system was originally developed primarily to examine metaphors within political and economic domains, the general ontology allows new frames and metaphors to be incorporated, sometimes with very little added labor.
Article outline
  • 1.Introduction
  • 2.Frames, mappings and grammatical constructions
  • 3.Metaphor and grammar
  • 4.Primary metaphors and metaphor cascades
  • 5.Multi-lingual metaphor detection: Towards understanding social issues
  • 6.Conclusions and future developments
  • ?ack?
  • Notes
  • References
  • Appendix
References (54)
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