Corpus-based computational frame and construction analysis of motion metaphors

This paper presents a case study on motion-related metaphors that demonstrates the viability of the MetaNet computational metaphor identification system in a corpus-based analysis of the expression of conceptual metaphor. The rich annotation that is produced by the MetaNet system supports many types of linguistic analysis, such as the examination of the relative frequencies within a corpus of the different constructional patterns of the candidate expressions, the lexemes that occur within the Source and Target slots of these constructions, and the frames evoked by these lexemes. Thus, this computational system not only facilitates the discovery of potential metaphors in large-scale corpora, it also provides the semantic annotation necessary for further linguistic analysis of the metaphors that are discovered, at different granularities.

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Publication Details

Journal
Language Resources and Evaluation
Published
2026-03-27
DOI
https://doi.org/10.1007/s10579-025-09875-8
Primary Topic
Language, Metaphor, and Cognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Corpus-based computational frame and construction analysis of motion metaphors

Elise Stickles, Ellen Dodge
Language Resources and Evaluation
Language, Metaphor, and Cognition
article

Corpus-based computational frame and construction analysis of motion metaphors

Elise Stickles, Ellen Dodge
article en

Abstract

This paper presents a case study on motion-related metaphors that demonstrates the viability of the MetaNet computational metaphor identification system in a corpus-based analysis of the expression of conceptual metaphor. The rich annotation that is produced by the MetaNet system supports many types of linguistic analysis, such as the examination of the relative frequencies within a corpus of the different constructional patterns of the candidate expressions, the lexemes that occur within the Source and Target slots of these constructions, and the frames evoked by these lexemes. Thus, this computational system not only facilitates the discovery of potential metaphors in large-scale corpora, it also provides the semantic annotation necessary for further linguistic analysis of the metaphors that are discovered, at different granularities.

Language Resources and EvaluationVol. 60(2)
University of British Columbia (CA)
Openalex Percentile: Top 8%
Language, Metaphor, and Cognition
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