The Mount Athos Monastery has opened up a digital repository, including many of its manuscripts.
HT Claire Clivaz
This blog is intended to be an outlet for research and questions on the textual criticism of the Old Testament/Hebrew Bible and related issues.
Saturday, February 29, 2020
Thursday, February 27, 2020
Neo-Paleography: Analysing Ancient Handwritings in the Digital Age
Isabelle Marthot-Santaniello has posted videos with slides and audio for each of the presentations at the recent conference Neo-Paleography: Analysing Ancient Handwritings in the Digital Age (Basel, 27-29 January 2020). This is a great resource for understanding the current state of digital paleographic tools, especially for Hebrew, Greek, Coptic, and Latin scripts. See below the full conference program.
Programme
Monday 27 January
Tuesday 28 January
Wednesday 29 January
Monday 27 January
14:00 | Welcome |
14:15 | Nachum Dershowitz, Adiel Ben-Shalom in abs., Lior Wolf in abs. (Tel Aviv): Computerized Paleography: Tools for Historical Manuscripts |
14:45 | Mladen Popović, Lambert Schomaker, Maruf Dhali (Groningen): Digital Palaeography of the Dead Sea Scrolls for Dating Undated Manuscripts |
15:15 | Gemma Hayes, Maruf Dhali (Groningen): Identifying Dead Sea Scribes: A Digital Palaeographic Approach |
15:45 | Discussion |
16:00 | Coffee break |
16:30 | Vinodh Rajan Sampath (Hamburg): Script Analyzer: A Tool for Quantitative Paleography |
17:00 | Timo Korkiakangas (Helsinki): Quantifying Medieval Latin handwriting with Script Analyzer |
17:30 | Elena Nieddu, Serena Ammirati in abs. (Roma): IN CODICE RATIO: a gateway to paleographical thesauri |
18:00 | Discussion |
18:30 | Buffet in Dep. Altertumswissenschaften (for the speakers) |
Tuesday 28 January
Wednesday 29 January
9:00 | Marie Beurton-Aimar, Cecilia Ostertag in abs. (Bordeaux): Re-assembly Egyptian potteries with handwritten texts |
9:30 | Vincent Christlein (Nuremberg): Writer identification in historical document images |
10:00 | Imran Siddiqi (Islamabad): Dating of Historical Manuscripts using Image Analysis & Deep Learning Techniques |
10:30 | Discussion |
10:45 | Coffee break |
11:00 | Tanmoy Mondal (Montpellier): Efficient technique for Binarization, Noise Cleaning and Convolutional Neural Network Based Writer Identification for Papyri Manuscripts |
11:30 | Andreas Fischer (Fribourg): Recent Advances in Graph-Based Keyword Spotting for Supporting Quantitative Paleography |
12:00 | Discussion |
12:30 | Coffee break |
14:00 | Vlad Atanasiu, Peter Fornaro (Basel): On the utility of color in computational paleography |
15:00
- 17:00 | Visit of the Digital Humanities Lab and the papyrus collection in the University Library |
Tuesday, February 11, 2020
Dhali et al. 2020 - Feature-extraction methods for historical manuscript dating based on writing style development
Maruf Dhali et al. from the Groningen ERC team just published a paper on the use of digital feature-extraction methods for dating Dead Sea Scrolls.
Maruf A. Dhali et al., “Feature-Extraction Methods for Historical Manuscript Dating Based on Writing Style Development,” Pattern Recognition Letters 131 (2020): 413–20. https://doi.org/10.1016/j.patrec.2020.01.027.
Maruf A. Dhali et al., “Feature-Extraction Methods for Historical Manuscript Dating Based on Writing Style Development,” Pattern Recognition Letters 131 (2020): 413–20. https://doi.org/10.1016/j.patrec.2020.01.027.
Highlights
- •
- Proposes feature-extraction techniques for dating of the Dead Sea Scrolls (DSS).
- •
- A grapheme-based method with a self-organized time map outperforms textural methods.
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- A codebook size of 225 performs the best with a Mean Absolute Error (MAE) of 23.4 years.
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- Cumulative Score (α = 25) improves with an increase in the sub-codebook size.
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- The result is positioned as a basic benchmark for further work on dating for the DSS.
Abstract
Paleographers and philologists perform significant research in finding the dates of ancient manuscripts to understand the historical contexts. To estimate these dates, the traditional process of using classical paleography is subjective, tedious, and often time-consuming. An automatic system based on pattern recognition techniques that infers these dates would be a valuable tool for scholars. In this study, the development of handwriting styles over time in the Dead Sea Scrolls, a collection of ancient manuscripts, is used to create a model that predicts the date of a query manuscript. In order to extract the handwriting styles, several dedicated feature-extraction techniques have been explored. Additionally, a self-organizing time map is used as a codebook. Support vector regression is used to estimate a date based on the feature vector of a manuscript. The date estimation from grapheme-based technique outperforms other feature-extraction techniques in identifying the chronological style development of handwriting in this study of the Dead Sea Scrolls.
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