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3 results for “palaeography”
An Artificial Eye for Palaeography. Applying Deep Machine Learning for the Study of Medieval Latin Scripts
<p>The project “Digital Forensics for Historical Documents” (at Huygens ING, Amsterdam) attempts to create a digital tool, based on a deep learning system, in which the unique characteristics of one medieval script sample will be matched with similar script samples by making use of digitized manuscript collections available in the world wide web.</p> <p>Project website and contact: <a href="https://www.youtube.com/redirect?q=https%3A%2F%2Fen.huygens.knaw.nl%2Fprojecten%2Fdigital-forensics-for-historical-documents%2F&v=WYtseNK-1Dc&event=video_description&redir_token=QUFFLUhqbDM0WDRJRjN0V3QzOXV6d0ZNbDB2TVYzV1hUQXxBQ3Jtc0ttLVJHMEE1RlRkZjJVV3poYnpQOHZseTFzZHVqWHRGR2k2eWpVWTJSSldtV2p4aFhKbFRIQTFjVHQ5YnM0Mkd4ajBzOTNtdE1yOVJLVktqWlhqWUgzZXc3YmNQMS1nNGFpZ3p2amNOTFNqTDVUSTdtZw%3D%3D">https://en.huygens.knaw.nl/projecten/...</a> </p> <p>Presented as a Lightning Talk for the Schoenberg Symposium 2020</p>
Aulikara palaeography chart
<p>Figure 1 in</p> <p><em>To engrave his virtues on the disc of the moon… Inscriptions of the Aulikaras and Their Associates</em></p> <p>Dániel Balogh, 2019</p> <p>Some distinctive character forms in rounded and angular scripts. Snippets of photographs and rubbings standardised to uniform height. Image credits as per the illustrations under each respective inscription.</p> <p><strong>Key: A1</strong>: Mandsaur, Naravarman; <strong>A2</strong>: Bihar Kotra stone; <strong>A3</strong>: Bihar Kotra cave; <strong>A4</strong>: Gangdhar; <strong>A5</strong>: Dattabhaṭa; <strong>A6</strong>: Silk weavers; <strong>A7</strong>: Chhoti Sadri; <strong>A8</strong>: Mandsaur, Gauri; <strong>A9</strong>: Risthal; <strong>A10</strong>: Nirdoṣa; <strong>A11</strong> and <strong>A12</strong>: Sondhni; <strong>A13</strong> and <strong>A14</strong>: Chittorgarh; <strong>A15</strong>: Kumāravarman. Inscription labels shaded in grey indicate scripts I assign to the rounded variety.</p>
Digital and Computational Palaeography: Some Promises and Problems
<p>Video, abstract and draft transcript of presentation given at the 13th Annual (Virtual) Schoenberg Symposium on Manuscript Studies in the Digital Age.</p> <p>As the Schoenberg Symposium and the Schoenberg Institute for Manuscript Studies have long been demonstrating, access to digital images of manuscripts has grown enormously in recent years, particularly with IIIF and the movement towards increasingly open and rights-free content. At the same time, we also have increasing access to relatively powerful computers, fast internet connections, and now access even to hardware and software for deep learning such as free software libraries, increasingly affordable GPUs and, in some cases, high-performance computing clusters. At the same time, however, librarians are often reporting less time for cataloguing and metadata, and at least in some cases access to original items is becoming increasingly difficult, not to mention the increasing complexity of computational methods and the widely-recognised fact that the ‘reasoning’ of modern machine learning is inaccessible even to specialists. The current health crisis seems to be accelerating these trends, which leaves the question: what of palaeography? Looking at the past and present of digital and computational methods, in this talk I attempt to identify some of the promises and problems of where we are now and where we seem to be going.</p>
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