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Figurative Language and Sensory Perception: Corpus-Based Computer-Assisted Study of the Nature and Motivation of Synesthetic Metaphors in Olive Oil Tasting Notes

ABSTRACT Meaning in sensory language is often built through figurative mechanisms, such as synesthetic metaphors, where a sensorial domain is used to talk about perceptions from a different sense, as in sweet [ taste ] texture [ touch ]. The motivation of synesthetic transfers of meaning has been studied in general and literary language, resulting in attempts to reveal universal patterns regarding the directionality of meaning transfer and sensorial conceptual preference. However, those universals have not been proven in any sensory Language for Specific Purposes (LSP). We a sensory LSP corpus of olive oil tasing notes in English to explore the nature of these metaphors, test existent models and explanatory accounts and identify tendencies present in synesthetic meaning transfers. The computer-assisted semi-automatic scalable methodology followed consists of the innovative quasi-simultaneous identification of semantic incongruences and the classification of synesthetic expressions in the discourse according to the source and target sensorial domains. Results show the inadequacy of existent models to explain synesthetic behavior in olive oil tasting language. The patterns found are discussed in the light of cognitive constraints and LSP genre analysis to conclude that a multi-causal approach is needed to explain the motivation of synesthetic transfers of meaning.

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Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphors

ABSTRACT Despite the exceptional performance of large language models (LLMs) on a wide range of tasks involving natural language processing and reasoning, there has been sharp disagreement as to whether their abilities extend to more creative human abilities. A core example is the interpretation of novel metaphors. Here we assessed the ability of GPT-4, a state-of-the-art large language model, to provide natural-language interpretations of a recent AI benchmark (Fig-QA dataset), novel literary metaphors drawn from Serbian poetry and translated into English, and entire novel English poems. GPT-4 outperformed previous AI models on the Fig-QA dataset. For metaphors drawn from Serbian poetry, human judges – blind to the fact that an AI model was involved – rated metaphor interpretations generated by GPT-4 as superior to those provided by a group of college students. In interpreting reversed metaphors, GPT-4, as well as humans, exhibited signs of sensitivity to the Gricean cooperative principle. In addition, for several novel English poems GPT-4 produced interpretations that were rated as excellent or good by a human literary critic. These results indicate that LLMs such as GPT-4 have acquired an emergent ability to interpret literary metaphors, including those embedded in novel poems.

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Open Access
The Ambiguity of Metaphor: How Polysemy Affords Multivalent Metaphor Use and Explains the Paradox of Metaphor

ABSTRACT This paper explores the suggestion (Steen, 2023a, 2023b) that most metaphor may be structurally ambiguous between deliberate and non-deliberate meanings, which in turn affords multivalent metaphor use. The paper begins by examining a sample of 56 Metaphor-Related Words in 25 examples of language use from corpus research about metaphor in discourse about cancer and the end of life (Semino et al., 2018). These data are analyzed by means of a new method proposed by Deliberate Metaphor Theory (Steen, 2023a; cf.; Reijnierse et al. 2019). Results show that all metaphors in the sample that are both polysemous and conventional can be given two interpretations, one non-deliberate and one deliberate. This ambiguity is largely corroborated by additional analysis of these same data by Wmatrix. Subsequent inclusion of all other cases from the same chapter in Semino et al. (2018) offers additional support. This finding offers a critical perspective on the idea that metaphor is a strong psychological device for figurative framing in discourse, for the structural ambiguity of most metaphor allows for multivalent metaphor use, where, in fact, most metaphor may typically be comprehended non-metaphorically (Steen, 2008, 2023a, 2023b). The ambiguity of metaphor hence also explains the paradox of metaphor.

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Open Access
Metaphor signalling constructions in discourse related to the experience of depersonalization/derealization

ABSTRACT In this study a systematic analysis of signaled metaphor is undertaken in naturally occurring discourse from an online forum relating to the experience of depersonalization/derealization, which has a specific relationship with metaphor. While it is relatively easy to locate pre-identified metaphor source terms in such large text corpora, finding singular metaphor that may express subjective experience is recognized as a difficult but important task, which signals of metaphor may support. It is vital to accurately represent, such discourse, rather than only impose pre-defined knowledge, in order that ethical concerns such as exclusion, demographic misrepresentation, and bias confirmation, may be addressed. It is shown that different signals of metaphor investigated perform different functions in relation to metaphor, with many of them supporting use of idiosyncratic metaphor that appears to express the subjective experience of forum participants. Analysis of nouns across all sentences identified as containing signaled metaphor yields previously unknown terms that are typically associated with metaphor in this context, via a method that is grounded in the data. In addition, the summary list of metaphor signaling constructions may support further such investigations in large text corpora.

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