Philology in the Age of Large Language Models (working paper)

Slides and working paper This Zenodo entry includes the working paper. The slideshow of my talk is in another Zenodo entry: https://doi.org/10.5281/zenodo.23406037 Topic Talk and working paper on the potential of LLM-based applications to philology (in the narrower sense of textual criticism) to go beyond the principle of the usus scribendi. Caveat This is a preliminary version of an ongoing research paper, made available to facilitate discussion and feedback. This version is largely incomplete, has not undergone peer review and may be substantially revised. No formal publication venue has been determined at this stage. Workflow and source code I created the paper writing a MarkDown (MD) source code (including some LaTeX) with VIM, then exporting it to PDF slides with Pandoc and CiteProc. The source code (MD source, images, bibliographical archive) is in the ZIP archive. Use of AI I used AI (ChatGPT) to review the English form of my text.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23677014
Primary Topic
Digital Humanities and Scholarship
Type
article
Field-Weighted Citation Impact
0.00
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article

Philology in the Age of Large Language Models (working paper)

Paolo Monella
Zenodo (CERN European Organization for Nuclear Research)
Digital Humanities and Scholarship
article

Philology in the Age of Large Language Models (working paper)

Paolo Monella
article en

Abstract

Slides and working paper This Zenodo entry includes the working paper. The slideshow of my talk is in another Zenodo entry: https://doi.org/10.5281/zenodo.23406037 Topic Talk and working paper on the potential of LLM-based applications to philology (in the narrower sense of textual criticism) to go beyond the principle of the usus scribendi. Caveat This is a preliminary version of an ongoing research paper, made available to facilitate discussion and feedback. This version is largely incomplete, has not undergone peer review and may be substantially revised. No formal publication venue has been determined at this stage. Workflow and source code I created the paper writing a MarkDown (MD) source code (including some LaTeX) with VIM, then exporting it to PDF slides with Pandoc and CiteProc. The source code (MD source, images, bibliographical archive) is in the ZIP archive. Use of AI I used AI (ChatGPT) to review the English form of my text.

Zenodo (CERN European Organization for Nuclear Research)
Università degli Studi di Enna Kore (IT)
Openalex Percentile: Top 2%
Digital Humanities and Scholarship
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Philology in the Age of Large Language Models (working paper) — Paolo Monella · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS