Σύγκριση μεθόδων

	Scripture Stylometry	Authorship Attribution of Canonical Texts
Πεδίο	Religious Studies	Religious Studies
Οικογένεια	Machine learning	Machine learning
Έτος προέλευσης	2002	2019
Δημιουργός	John Burrows (Delta); applied to scripture by Faigenbaum-Golovin et al. and others	Tradition from Mosteller & Wallace and A. Q. Morton; Pauline corpus revisited by Jacques Savoy
Τύπος	Distance-based stylometric model over function-word frequencies	Classification/verification pipeline assigning disputed texts to candidate authors
Θεμελιώδης πηγή	Burrows, J. (2002). 'Delta': a Measure of Stylistic Difference and a Guide to Likely Authorship. Literary and Linguistic Computing, 17(3), 267-287.	Savoy, J. (2019). Authorship of Pauline epistles revisited. Journal of the Association for Information Science and Technology, 70(10), 1089-1097.
Εναλλακτικές ονομασίες	Stylometric Analysis of Sacred Texts, Computational Stylistics of Scripture, Burrows's Delta for Scripture, Quantitative Stylistics of Religious Texts	Computational Authorship Attribution, Authorship Verification of Scripture, Pauline Authorship Analysis, Disputed-Text Attribution
Συναφείς	4	4
Σύνοψη	Scripture stylometry measures the writing style of sacred texts quantitatively, chiefly through the frequencies of the most common words, in order to compare passages, detect authorial layers, and test traditional claims about who wrote what. Its workhorse is John Burrows's Delta, introduced in 2002, which represents each text as a profile of standardized function-word frequencies and measures the stylistic distance between texts as the average difference between those profiles. Because function words such as articles, prepositions, and particles are used unconsciously and at rates that vary little with subject matter, they form a stable stylistic fingerprint. Recent work, such as the 2025 word-frequency study of the Hebrew Bible by Faigenbaum-Golovin and colleagues, shows how these techniques distinguish scribal corpora and corroborate or challenge the layers identified by traditional source criticism.	Authorship attribution of canonical texts uses computational stylometry to test who wrote disputed sacred and classical writings, most famously the letters attributed to Paul. Several New Testament epistles bear Paul's name but have long been suspected, on historical and stylistic grounds, of coming from later hands; stylometry brings quantitative evidence to the question. The approach profiles each author's style from large numbers of features, especially function-word frequencies, and either classifies a disputed text to the closest candidate or verifies whether it could plausibly belong to a claimed author against a field of impostors. Jacques Savoy's 2019 study revisited the entire Pauline corpus with modern methods, including Burrows's Delta, and found that it clusters into groups consistent with the traditional distinction between undisputed and disputed letters.