Abstract :
This article presents a unified framework for contemporary philology that brings together technical methods, shared data standards, and ethical governance within a single, coherent research lifecycle. It addresses the current fragmentation of digital philological practice by integrating ten areas that are increasingly interdependent but often treated separately. These include AI-based handwritten text recognition and OCR for manuscripts and inscriptions; digital fragmentology and virtual reunification; and computational stemmatology for modeling textual transmission using both trees and networks. The framework also incorporates FAIR-aligned IIIF and Linked Open Data infrastructures, justice-oriented approaches to provenance and restitution, and methods for detecting cross-lingual text reuse. Further components of the pipeline include authorship analysis through stylometry and representation learning, TEI-based scholarly editions supported by continuous integration, natural language processing of marginalia and paratexts, and capacity building for historically under-resourced scripts and scholarly communities. Across all components, the paper identifies shared methodological principles: diacritic-sensitive error modeling, line-based citability, disciplined critical apparatuses with explicit intervention markers, and evaluation protocols that emphasize calibrated confidence and principled non-decision where evidence is insufficient. To ensure methodological robustness, the paper defines minimal conditions for falsifiability, including corruption testing, bootstrap-based uncertainty estimation, and evaluation across multiple editions or witnesses. It also articulates minimal conditions for social and ethical legitimacy, such as tiered access models, renewable consent, transparent contributor records, and clearly defined takedown procedures. Five concise tables summarize workflows, assumptions, risks, and assurance signals in formats intended for practical use by research labs, libraries, and community partners. Overall, the article offers a practical blueprint for scaling philological research without erasing the specificity of individual witnesses, for accelerating computational analysis without displacing scholarly judgment, and for making philological claims reproducible, open to challenge, and ethically grounded across languages, materials, and institutional contexts.

Keywords :
Digital Humanities, Digital Philology, Handwritten Text Recognition, Optical Character Recognition, Linked Open Data, FAIR Principles, Textual Criticism, Stylometry, Intertextuality, Epigraphy.

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