Suppr超能文献

对犹大军事书信的算法笔迹分析揭示了圣经文本的构成。

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

作者信息

Faigenbaum-Golovin Shira, Shaus Arie, Sober Barak, Levin David, Na'aman Nadav, Sass Benjamin, Turkel Eli, Piasetzky Eli, Finkelstein Israel

机构信息

Department of Applied Mathematics, Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel;

Department of Jewish History, Tel Aviv University, Tel Aviv 69978, Israel;

出版信息

Proc Natl Acad Sci U S A. 2016 Apr 26;113(17):4664-9. doi: 10.1073/pnas.1522200113. Epub 2016 Apr 11.

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.

摘要

犹大地区识字率的提高与圣经文本的创作之间的关系,在一个多世纪以来一直吸引着学界的关注。关于这个问题的信息可以从第一圣殿时期最后阶段的希伯来铭文推断出来。我们报告了对来自阿拉德犹大沙漠要塞的16篇铭文的研究,这些铭文的年代约为公元前600年——即尼布甲尼撒摧毁耶路撒冷的前夕。这项研究基于图像处理和文档分析的新方法,以及机器学习算法。这些技术能够确定一组给定铭文中最少的作者数量。我们的算法分析,辅以文本信息,揭示在所研究的铭文中至少有六位作者。结果表明,在这个偏远的要塞,识字率已经在军事等级制度中传播开来,一直到军需官,甚至可能更低。这意味着在第一圣殿被毁之前,犹大地区已经存在能够支持文学文本创作的教育基础设施。在这个地区,类似的识字水平直到约400年后的公元前200年才再次得到证实。

相似文献

1
Algorithmic handwriting analysis of Judah's military correspondence sheds light on composition of biblical texts.
Proc Natl Acad Sci U S A. 2016 Apr 26;113(17):4664-9. doi: 10.1073/pnas.1522200113. Epub 2016 Apr 11.
3
Algorithmic handwriting analysis of the Samaria inscriptions illuminates bureaucratic apparatus in biblical Israel.
PLoS One. 2020 Jan 22;15(1):e0227452. doi: 10.1371/journal.pone.0227452. eCollection 2020.
4
Multispectral imaging reveals biblical-period inscription unnoticed for half a century.
PLoS One. 2017 Jun 14;12(6):e0178400. doi: 10.1371/journal.pone.0178400. eCollection 2017.
5
Residue analysis evidence for wine enriched with vanilla consumed in Jerusalem on the eve of the Babylonian destruction in 586 BCE.
PLoS One. 2022 Mar 29;17(3):e0266085. doi: 10.1371/journal.pone.0266085. eCollection 2022.
6
Reconstructing biblical military campaigns using geomagnetic field data.
Proc Natl Acad Sci U S A. 2022 Nov;119(44):e2209117119. doi: 10.1073/pnas.2209117119. Epub 2022 Oct 24.
7
Radiocarbon chronology of Iron Age Jerusalem reveals calibration offsets and architectural developments.
Proc Natl Acad Sci U S A. 2024 May 7;121(19):e2321024121. doi: 10.1073/pnas.2321024121. Epub 2024 Apr 29.
9
and dysentery in Iron Age Jerusalem (7th-6th century BCE).
Parasitology. 2023 Jul;150(8):693-699. doi: 10.1017/S0031182023000410. Epub 2023 May 26.
10
Restoring and attributing ancient texts using deep neural networks.
Nature. 2022 Mar;603(7900):280-283. doi: 10.1038/s41586-022-04448-z. Epub 2022 Mar 9.

引用本文的文献

1
Contextualizing ancient texts with generative neural networks.
Nature. 2025 Jul 23. doi: 10.1038/s41586-025-09292-5.
2
Critical biblical studies via word frequency analysis: Unveiling text authorship.
PLoS One. 2025 Jun 3;20(6):e0322905. doi: 10.1371/journal.pone.0322905. eCollection 2025.
3
Diversity statistics of onomastic data reveal social patterns in Hebrew Kingdoms of the Iron Age.
Proc Natl Acad Sci U S A. 2025 May 20;122(20):e2503850122. doi: 10.1073/pnas.2503850122. Epub 2025 May 14.
4
Restoring and attributing ancient texts using deep neural networks.
Nature. 2022 Mar;603(7900):280-283. doi: 10.1038/s41586-022-04448-z. Epub 2022 Mar 9.
6
Interpol review of questioned documents 2016-2019.
Forensic Sci Int Synerg. 2020 Apr 12;2:429-441. doi: 10.1016/j.fsisyn.2020.01.012. eCollection 2020.
8
Algorithmic handwriting analysis of the Samaria inscriptions illuminates bureaucratic apparatus in biblical Israel.
PLoS One. 2020 Jan 22;15(1):e0227452. doi: 10.1371/journal.pone.0227452. eCollection 2020.
9
Multispectral imaging reveals biblical-period inscription unnoticed for half a century.
PLoS One. 2017 Jun 14;12(6):e0178400. doi: 10.1371/journal.pone.0178400. eCollection 2017.

本文引用的文献

1
Efficient Learning-Free Keyword Spotting.
IEEE Trans Pattern Anal Mach Intell. 2019 Jul;41(7):1587-1600. doi: 10.1109/TPAMI.2018.2845880. Epub 2018 Jun 11.
2
Primary uterine cervix schwannoma: a case report and review of the literature.
Case Rep Pathol. 2012;2012:353049. doi: 10.1155/2012/353049. Epub 2012 Dec 20.
3
Classification of benign and malignant masses based on Zernike moments.
Comput Biol Med. 2011 Aug;41(8):726-35. doi: 10.1016/j.compbiomed.2011.06.009. Epub 2011 Jul 1.
4
Automatic writer identification of ancient Greek inscriptions.
IEEE Trans Pattern Anal Mach Intell. 2009 Aug;31(8):1404-14. doi: 10.1109/TPAMI.2008.201.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验