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Algorithmic edition transforms digital scholarly editing through improved machine-readability and analysis, suggesting advanced collaboration in humanities.
An algorithmic edition transforms digital scholarly editing by emphasizing machine-readability and computational analysis. Utilizing Applied Text as Graph (ATAG) and Explicitly Notated Citations (ENC), it enables precise, dynamic access to text segments, annotations, and metadata. This structured, networked approach supports interdisciplinary collaboration, advancing digital humanities by integrating texts, data, and technology into comprehensive systems for scholarly exploration.
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Enns et al. (2026) studied this question.
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