Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909082788560896 |
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| author | Sirin, Hale Lippincott, Tom |
| author_facet | Sirin, Hale Lippincott, Tom |
| contents | We present a novel combination of dynamic embedded topic models and change-point detection to explore diachronic change of lexical semantic modality in classical and early Christian Latin. We demonstrate several methods for finding and characterizing patterns in the output, and relating them to traditional scholarship in Comparative Literature and Classics. This simple approach to unsupervised models of semantic change can be applied to any suitable corpus, and we conclude with future directions and refinements aiming to allow noisier, less-curated materials to meet that threshold. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2401_13905 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses Sirin, Hale Lippincott, Tom Computation and Language We present a novel combination of dynamic embedded topic models and change-point detection to explore diachronic change of lexical semantic modality in classical and early Christian Latin. We demonstrate several methods for finding and characterizing patterns in the output, and relating them to traditional scholarship in Comparative Literature and Classics. This simple approach to unsupervised models of semantic change can be applied to any suitable corpus, and we conclude with future directions and refinements aiming to allow noisier, less-curated materials to meet that threshold. |
| title | Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2401.13905 |