What question did this study set out to answer?

This research aims to develop an effective neural parser for ancient Greek manuscripts, improving lemmatization and morphology analysis.

July 14, 2026Digital Scholarship in the Humanities

UncCy: neural parsing of New Testament Greek manuscripts via collation-based annotation transfer

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This research aims to develop an effective neural parser for ancient Greek manuscripts, improving lemmatization and morphology analysis.
Developed a method to collate annotated printed editions and manuscripts.
Trained a neural parser (UncCy) on collated datasets from New Testament uncial manuscripts.
Demonstrated performance on a manually annotated manuscript.
Achieved 93.6% performance on lemmatization with a gain of +40 pp.
Achieved 96.9% performance on morphology with a gain of +34 pp.
Achieved 98.8% performance on part-of-speech tagging with a gain of +8 pp.

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Implication

Randomized trial demonstrates improved lemmatization and morphological analysis in New Testament Greek manuscripts, suggesting enhanced computational tools for ancient texts.

Cite This Study

Sophie Robert-Hayek (2026) studied this question.

synapsesocial.com/papers/6a55d18e5aafca87247f888a https://doi.org/10.1093/llc/fqag092

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Implication

Randomized trial demonstrates improved lemmatization and morphological analysis in New Testament Greek manuscripts, suggesting enhanced computational tools for ancient texts.

UncCy: neural parsing of New Testament Greek manuscripts via collation-based annotation transfer

Key Points

Discussion

Implication

Cite This Study

UncCy: neural parsing of New Testament Greek manuscripts via collation-based annotation transfer

Key Points

Discussion

Implication

Cite This Study

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