Analyzing the Aeneid and its Translations with Topic Models and Word Embeddings

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2022LangenC.pdf(1012.43 KB)
2022LangenC_release.pdf(173.04 KB)
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2022
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Kuper, Charles
Grissom, Alvin
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Haverford College. Department of Classics
Haverford College. Department of Computer Science
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eng
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Open Access
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http://creativecommons.org/licenses/by-nc/4.0/
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We review new advances in word embeddings and apply them to cross-lingual literary analysis of Latin and English translations of Latin. We introduce word embeddings, summarize the developments to them that allow them to be trained from small data, on morphologically rich languages, and cross-lingually in detail. We also review Latent Dirichlet Allocation, and Polylingual Topic Models. We then use these models to analyze Vergil's Aeneid and the John Dryden, John Conington, and Theodor Williams translations into English.
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http://hdl.handle.net/10066/24488
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Classics
Computer Science