Visualising Overlooked Syntactic Alternatives in the Greek New Testament

Paper presented at the IOSOT 2025 conference in the section Digital Humanities and Computational Approaches to the Bible. This paper explores how overlooked syntactic alternatives in the Greek New Testament can be visualized by extending the N1904-TF dataset. By integrating Morpheus-derived morphological analyses through a custom pipeline, multiple possible parses for each word become visible, showing how ambiguity at the morphological level can shift phrase functions and reveal alternative readings often hidden in disambiguated datasets. While this method enriches grammatical exploration, it also exposes inherent tensions: N1904-TF assigns one disambiguated morphosyntactic tag per token, whereas the Morpheus data records all legitimate possible renderings, including those resulting from underspecification. The principles of contextual adjudication versus recording underspecification therefore result in incompatibility when performing comparisons. The proposed way forward is to codify underspecification (distinguishing all possible values from the chosen contextual reading) and to expand the training data with corpora like the Septuagint, paving the way for more precise and transparent computational study of the New Testament

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-14
DOI
https://doi.org/10.5281/zenodo.17048098
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Visualising Overlooked Syntactic Alternatives in the Greek New Testament

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Visualising Overlooked Syntactic Alternatives in the Greek New Testament

article en

Abstract

Paper presented at the IOSOT 2025 conference in the section Digital Humanities and Computational Approaches to the Bible. This paper explores how overlooked syntactic alternatives in the Greek New Testament can be visualized by extending the N1904-TF dataset. By integrating Morpheus-derived morphological analyses through a custom pipeline, multiple possible parses for each word become visible, showing how ambiguity at the morphological level can shift phrase functions and reveal alternative readings often hidden in disambiguated datasets. While this method enriches grammatical exploration, it also exposes inherent tensions: N1904-TF assigns one disambiguated morphosyntactic tag per token, whereas the Morpheus data records all legitimate possible renderings, including those resulting from underspecification. The principles of contextual adjudication versus recording underspecification therefore result in incompatibility when performing comparisons. The proposed way forward is to codify underspecification (distinguishing all possible values from the chosen contextual reading) and to expand the training data with corpora like the Septuagint, paving the way for more precise and transparent computational study of the New Testament

Zenodo (CERN European Organization for Nuclear Research)
Vrije Universiteit Amsterdam (NL)
Quality Education
Openalex Percentile: Top 55%
Geochemistry and Geologic Mapping
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Visualising Overlooked Syntactic Alternatives in the Greek New Testament · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS