Sistema di filologia computazionale per testi demotici

Title

Sistema di filologia computazionale per testi demotici

Creator(s)

Bresciani, Edda

Menchetti, Angiolo

Bozzi, Andrea

Fedele, Giuseppe

Date

2004

Is Part Of

Archeologia e Calcolatori

Volume

15

Pages

267–286

Language

ita

Rights

CC BY-NC-ND 4.0

URI

http://www.archcalc.cnr.it/journal/id.php?id=384

Zotero BiDiAr

https://www.zotero.org/groups/5293298/bidiar/items/3CFWR682/item-list

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.