Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship

• We address the question of authorship of biblical texts by employing statistical analysis to the frequency of words using a new method that is particularly sensitive to deviations in frequencies associated with few words out of potentially many. The data below consists of the "discriminating words" which have the biggest effect on the value of the Higher Criticism statistic from the analyses of 50 chapters.

Total Size

3 files (3.39 MB)

Data Citation

• Faigenbaum-Golovin, S., Kipnis, A., Bühler, A., Piasetzky, E., Römer, T., & Finkelstein, I. (2024). Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship. Duke Research Data Repository. https://doi.org/10.7924/r42b97k21

Creator

• Römer, Thomas
• Bühler, Axel
• Piasetzky, Eli
• Faigenbaum-Golovin, Shira
• Finkelstein, Israel
• Kipnis, Alon

DOI

• 10.7924/r42b97k21

Subject

• Biblical
• Natural language processing (Computer science)
• Authorship

Publication Date

• August 12, 2024

ARK

• ark:/87924/r42b97k21

Is Replaced By

• 10.7924/r4cr61n46

Affiliation

• Duke Rhodes Information Initiative
• Mathematics

Publisher

• Duke Research Data Repository

Type

• Dataset

Contact

• Shira Faigenbaum-Golovin, alexandra.golovin@duke.edu, https://orcid.org/0000-0003-0320-9726

License

• Creative Commons CC0 1.0 Universal

Title

• Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship

License

• http://creativecommons.org/publicdomain/zero/1.0/

Repository

• Duke Research Data Repository

• Files
• Readme

Thumbnail	Title	Date Uploaded	Visibility	Actions
	Chapter size calculation_50_chapters.xlsx	2024-08-12	Public	Download
	Discriminating words.zip	2024-08-12	Public	Download
	README.txt	2024-08-12	Public	Download

View as Markdown View as Text

Versions