Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866929299515244544 |
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| author | Aono, Kotaro Sasano, Ryohei Takeda, Koichi |
| author_facet | Aono, Kotaro Sasano, Ryohei Takeda, Koichi |
| contents | There are several linguistic claims about situations where words are more likely to be used as metaphors. However, few studies have sought to verify such claims with large corpora. This study entails a large-scale, corpus-based analysis of certain existing claims about verb metaphors, by applying metaphor detection to sentences extracted from Common Crawl and using the statistics obtained from the results. The verification results indicate that the direct objects of verbs used as metaphors tend to have lower degrees of concreteness, imageability, and familiarity, and that metaphors are more likely to be used in emotional and subjective sentences. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_01029 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification Aono, Kotaro Sasano, Ryohei Takeda, Koichi Computation and Language There are several linguistic claims about situations where words are more likely to be used as metaphors. However, few studies have sought to verify such claims with large corpora. This study entails a large-scale, corpus-based analysis of certain existing claims about verb metaphors, by applying metaphor detection to sentences extracted from Common Crawl and using the statistics obtained from the results. The verification results indicate that the direct objects of verbs used as metaphors tend to have lower degrees of concreteness, imageability, and familiarity, and that metaphors are more likely to be used in emotional and subjective sentences. |
| title | Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2404.01029 |