Evolving Hands: Exploring HTR to TEI Methodologies and Challenges in the Age of AI

Q: What does this research mean for the field?

Integrating AI-driven Handwritten Text Recognition (HTR) with Text Encoding Initiative (TEI) standards presents specific methodological challenges and opportunities in digital philology. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

James Cummings

doi:10.5281/zenodo.20259047

May 19, 2026Open Access

Evolving Hands: Exploring HTR to TEI Methodologies and Challenges in the Age of AI

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Key Points

The focus is on examining the evolution of methodologies from Handwritten Text Recognition (HTR) to Text Encoding Initiative (TEI) and the related challenges in the context of AI.
Presentation of methodologies from HTR to TEI.
Discussion of challenges faced in the digital humanities.
Exploration of AI's role in addressing these challenges.
Highlighted the potential improvements AI can bring to HTR and TEI applications.
Discussed significant methodological challenges in integrating AI into current practices.
Identified opportunities for inclusive access through advanced methodologies.

Implication

Presentation explores HTR to TEI methodologies, challenges in digital environments, indicating the impact of AI.

Abstract

This presentation "Evolving Hands: Exploring HTR to TEI Methodologies and Challenges in the Age of AI" was presented on 2026-05-19 at Filologia Digitale e Ambienti GLAM: verso nuove forme di edizione e di accesso inclusivo, FDGLAM 2026, 18 - 20 Maggio 2026, Torino, Italia

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Cite This Study

James Cummings (2026) studied this question.

synapsesocial.com/papers/6a0bfda5166b51b53d378fb3 https://doi.org/10.5281/zenodo.20259047

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Evolving Hands: Exploring HTR to TEI Methodologies and Challenges in the Age of AI

Key Points

Implication

Abstract

Discussion

Cite This Study

Evolving Hands: Exploring HTR to TEI Methodologies and Challenges in the Age of AI

Key Points

Implication

Abstract

Discussion

Cite This Study

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