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MythoSemantic: An Interactive System for Discovering Semantic Parallels Across Mythological and Religious Traditions
Nikita Ganziuk, Innokentiy S. Humonen, Ilya Makarov, Pavel Lebedev

MythoSemantic: An Interactive System for Discovering Semantic Parallels Across Mythological and Religious Traditions

Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

We present a tool for the comparative study of mythological and religious texts. Traditional manual analysis is highly labor-intensive and difficult to scale. To address this, we use neural language models to embed texts into a shared semantic space, so that users can find semantic parallels across cultural traditions in an interactive interface. Embedded fragments form distinct semantic structures whose coarse geometry aligns with well-documented historical relations between traditions. We quantify how much of that geometry is already explained by lexical overlap and by proper names. The current system is available at https://mythoscope.io, and the installable package is available at https://github.com/haafus/MythoSemantic/blob/main/RUN.md.

Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title MythoSemantic: An Interactive System for Discovering Semantic Parallels Across Mythological and Religious Traditions
Author / Organization Nikita Ganziuk, Innokentiy S. Humonen, Ilya Makarov, Pavel Lebedev
Subject & Discipline cs.CL
Categories Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-269815
Original Source Link Visit Source Page on arxiv.org »