Metaphorical Pattern Analysis and MIPVU combined: A case study merging existing methods to identify metaphor in discourse.
Published In: Spanish Journal of Applied Linguistics / Revista Española de Lingüística Aplicada (John Benjamins Publishing Co.), 2023, v. 36, n. 2. P. 528 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Muelas-Gil, María 3 of 3
Abstract
One of the constant debates within conceptual metaphors studies and metaphor in discourse concerns metaphor identification and annotation. In recent years, most metaphor studies have applied Steen et al.'s MIPVU or Pragglejazz's MIP as the identification method, but this does not mean that they are exclusive. In fact, there are certain factors of a given study that influence the choice of one method over another, such as its design, size or language. It was precisely the particularities of our corpus (made of economic reports published in English and Spanish) that suggested the combination of other existing methods in order to obtain, in the most practical way, the most reliable outcomes for this target-based case study. Stefanowitsch's MPA was applied and complemented with MIPVU, used to filter and confirm potentially metaphorical patterns. Apart from reviewing some of the existing methods, this paper provides a case study that supports the validity of combining identification methods or adapting them to the needs of each case, as the results obtained after analysis show concordance and agreement post-combination. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Spanish Journal of Applied Linguistics / Revista Española de Lingüística Aplicada (John Benjamins Publishing Co.). 2023/07, Vol. 36, Issue 2, p528
- Document Type:Article
- Subject Area:Language and Linguistics
- Publication Date:2023
- ISSN:0213-2028
- DOI:10.1075/resla.21004.mue
- Accession Number:174557943
- Copyright Statement:Copyright of Spanish Journal of Applied Linguistics / Revista Española de Lingüística Aplicada (John Benjamins Publishing Co.) is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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