Large language models for folktale type automation based on motifs: Cinderella case study
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911223884283904 |
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| author | Arčon, Tjaša Robnik-Šikonja, Marko Tratnik, Polona |
| author_facet | Arčon, Tjaša Robnik-Šikonja, Marko Tratnik, Polona |
| contents | Artificial intelligence approaches are being adapted to many research areas, including digital humanities. We built a methodology for large-scale analyses in folkloristics. Using machine learning and natural language processing, we automatically detected motifs in a large collection of Cinderella variants and analysed their similarities and differences with clustering and dimensionality reduction. The results show that large language models detect complex interactions in tales, enabling computational analysis of extensive text collections and facilitating cross-lingual comparisons. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_18561 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Large language models for folktale type automation based on motifs: Cinderella case study Arčon, Tjaša Robnik-Šikonja, Marko Tratnik, Polona Computation and Language Artificial Intelligence Artificial intelligence approaches are being adapted to many research areas, including digital humanities. We built a methodology for large-scale analyses in folkloristics. Using machine learning and natural language processing, we automatically detected motifs in a large collection of Cinderella variants and analysed their similarities and differences with clustering and dimensionality reduction. The results show that large language models detect complex interactions in tales, enabling computational analysis of extensive text collections and facilitating cross-lingual comparisons. |
| title | Large language models for folktale type automation based on motifs: Cinderella case study |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2510.18561 |