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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.10035 |
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| _version_ | 1866917400364974080 |
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| author | Iwaki, Fumitaka Fuyama, Miho Saigo, Hayato Takahashi, Tatsuji |
| author_facet | Iwaki, Fumitaka Fuyama, Miho Saigo, Hayato Takahashi, Tatsuji |
| contents | In this study, we developed a computational implementation for a model of metaphor comprehension based on the theory of indeterminate natural transformation (TINT) proposed by Fuyama et al. We simplified the algorithms implementing the model to be closer to the original theory and verified it through data fitting and simulations. The outputs of the algorithms are evaluated with three measures: data-fitting with experimental data, the systematicity of the metaphor comprehension result, and the novelty of the comprehension (i.e. the correspondence of the associative structure of the source and target of the metaphor). The improved algorithm outperformed the existing ones in all the three measures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_10035 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Computational Implementation of a Model of Category-Theoretic Metaphor Comprehension Iwaki, Fumitaka Fuyama, Miho Saigo, Hayato Takahashi, Tatsuji Computation and Language Artificial Intelligence In this study, we developed a computational implementation for a model of metaphor comprehension based on the theory of indeterminate natural transformation (TINT) proposed by Fuyama et al. We simplified the algorithms implementing the model to be closer to the original theory and verified it through data fitting and simulations. The outputs of the algorithms are evaluated with three measures: data-fitting with experimental data, the systematicity of the metaphor comprehension result, and the novelty of the comprehension (i.e. the correspondence of the associative structure of the source and target of the metaphor). The improved algorithm outperformed the existing ones in all the three measures. |
| title | Computational Implementation of a Model of Category-Theoretic Metaphor Comprehension |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2604.10035 |