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Promises from an Inferential Approach in Classical Latin Authorship Attribution
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SYSNO ASEP 0602744 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Promises from an Inferential Approach in Classical Latin Authorship Attribution Author(s) Tani Raffaelli, Giulio (UIVT-O) ORCID, RID, SAI Source Title CHR 2024: Computational Humanities Research 2024: Proceedings of the Computational Humanities Research Conference 2024. - Aachen : Technical University & CreateSpace Independent Publishing, 2024 / Haverals W. ; Koolen M. ; Thompson L. - ISSN 1613-0073 Pages s. 610-619 Number of pages 10 s. Publication form Online - E Action CHR 2024: Computational Humanities Research Conference /5./ Event date 04.12.2024 - 06.12.2024 VEvent location Aarhus Country DK - Denmark Event type EUR Language eng - English Country DE - Germany Keywords authorship attribution ; inference ; classical Latin ; visualisation OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Institutional support UIVT-O - RVO:67985807 EID SCOPUS 85210862312 Annotation Applying stylometry to Authorship Attribution requires distilling the elements of an author’s style sufficient to recognise their mark in anonymous documents. Often, this is accomplished by contrasting the frequency of selected features in the authors’ works. A recent approach, CP2D, uses innovation processes to infer the author’s identity, accounting for their propensity to introduce new elements. In this paper, we apply CP2D to a corpus of Classical Latin texts to test its effectiveness in a new context and explore the additional insight it can offer the scholar. We show its effectiveness on a corpus of classical Latin texts and how—moving beyond maximum likelihood—we can visualise the stylistic relationships and gather additional information on the relationships among documents. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2025 Electronic address https://ceur-ws.org/Vol-3834/paper121.pdf
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