Sistema di filologia computazionale per testi demotici

Bresciani, E. and Menchetti, A. and Bozzi, A. and Fedele, G. (2004) Sistema di filologia computazionale per testi demotici. Archeologia e Calcolatori, 15. pp. 267-286. ISSN 1120-6861

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Abstract

A project for a Demotic Inscriptions on Ostraka Database is being carried out in collaboration between ILC/CNR (Pisa), the Department of Electronic Engineering (Calabria University) and the Department of the Ancient World History (Egyptological section, Pisa University). The aim of the project is to analyse the digital colour images of demotic texts on ostraka (Medinet Madi, in Fayyum region) with the aid of computational tools. The module described in the paper is a neural component able to learn the graphical features of each demotic symbol, which has been previously segmented in the images thanks to a semiautomatic procedure. A specific neural network tries to recognize the text written in the images linking the symbols segmented within the ostraka images database to the correspondent symbols available on a virtual keyboard. The graphical interface is particularly useful for teaching and research activities on this type of archaeological documentation.

Item Type:	Article
Additional Information:	New Frontiers of Archaeological Research. Languages, Communication, Information Technology, Moscati P. (ed.)
Uncontrolled Keywords:	Graphics IP CAD VR; epigraphy and numismatics
Subjects:	900 Storia, Geografia e discipline ausiliarie > 930 Storia dei mondo antico fino al 499 ca. > 930.1 Archeologia (Classificare qui la Storia fino al 4000 a.C., l'Archeologia preistorica, le opere interdisciplinari sull'Archeologia) > 930.102 Archeologia - Opere miscellanee > 930.1028 Archeologia – Tecniche, metodologie, apparecchi e strumenti (comprende: Archeometria) > 930.10285 Archeologia – Applicazioni informatiche (comprende: tecniche di datazione)
Depositing User:	Dott.ssa Paola Moscati
Date Deposited:	11 Jun 2009
Last Modified:	18 Apr 2017 12:03
URI:	http://eprints.bice.rm.cnr.it/id/eprint/918

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