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, ). 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.
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