Literature DB >> 27071103

Algorithmic handwriting analysis of Judah's military correspondence sheds light on composition of biblical texts.

Shira Faigenbaum-Golovin1, Arie Shaus1, Barak Sober1, David Levin2, Nadav Na'aman3, Benjamin Sass4, Eli Turkel2, Eli Piasetzky5, Israel Finkelstein4.   

Abstract

The relationship between the expansion of literacy in Judah and composition of biblical texts has attracted scholarly attention for over a century. Information on this issue can be deduced from Hebrew inscriptions from the final phase of the first Temple period. We report our investigation of 16 inscriptions from the Judahite desert fortress of Arad, dated ca 600 BCE-the eve of Nebuchadnezzar's destruction of Jerusalem. The inquiry is based on new methods for image processing and document analysis, as well as machine learning algorithms. These techniques enable identification of the minimal number of authors in a given group of inscriptions. Our algorithmic analysis, complemented by the textual information, reveals a minimum of six authors within the examined inscriptions. The results indicate that in this remote fort literacy had spread throughout the military hierarchy, down to the quartermaster and probably even below that rank. This implies that an educational infrastructure that could support the composition of literary texts in Judah already existed before the destruction of the first Temple. A similar level of literacy in this area is attested again only 400 y later, ca 200 BCE.

Entities:  

Keywords:  Arad ostraca; biblical exegesis; document analysis; literacy level; machine learning

Year:  2016        PMID: 27071103      PMCID: PMC4855551          DOI: 10.1073/pnas.1522200113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  2 in total

1.  Automatic writer identification of ancient Greek inscriptions.

Authors:  Michail Panagopoulos; Constantin Papaodysseus; Panayiotis Rousopoulos; Dimitra Dafi; Stephen Tracy
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2009-08       Impact factor: 6.226

2.  Classification of benign and malignant masses based on Zernike moments.

Authors:  Amir Tahmasbi; Fatemeh Saki; Shahriar B Shokouhi
Journal:  Comput Biol Med       Date:  2011-07-01       Impact factor: 4.589

  2 in total
  4 in total

1.  Multispectral imaging reveals biblical-period inscription unnoticed for half a century.

Authors:  Shira Faigenbaum-Golovin; Anat Mendel-Geberovich; Arie Shaus; Barak Sober; Michael Cordonsky; David Levin; Murray Moinester; Benjamin Sass; Eli Turkel; Eli Piasetzky; Israel Finkelstein
Journal:  PLoS One       Date:  2017-06-14       Impact factor: 3.240

Review 2.  Interpol review of questioned documents 2016-2019.

Authors:  Capitaine Marie Deviterne-Lapeyre
Journal:  Forensic Sci Int       Date:  2020-04-12       Impact factor: 2.395

3.  Restoring and attributing ancient texts using deep neural networks.

Authors:  Yannis Assael; Thea Sommerschield; Brendan Shillingford; Mahyar Bordbar; John Pavlopoulos; Marita Chatzipanagiotou; Ion Androutsopoulos; Jonathan Prag; Nando de Freitas
Journal:  Nature       Date:  2022-03-09       Impact factor: 69.504

4.  Algorithmic handwriting analysis of the Samaria inscriptions illuminates bureaucratic apparatus in biblical Israel.

Authors:  Shira Faigenbaum-Golovin; Arie Shaus; Barak Sober; Eli Turkel; Eli Piasetzky; Israel Finkelstein
Journal:  PLoS One       Date:  2020-01-22       Impact factor: 3.240

  4 in total

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