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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Arwa Hamed Salih Hamdany
Northern Technical University
Computer Science & IT

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Translating cuneiform symbols using artificial neural network Arwa Hamed Salih Hamdany; Raid Rafi Omar-Nima; Lubab H. Albak
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 2: April 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i2.16134

Abstract

Cuneiform language is an old language that was invented by the people of Sumerian nation. It is an essential language for many archeologists. Especially who are interested in studying and investigating the old nations of Iraq. Dealing with this type of language usually requires specialist to translate its symbols, which are basically forms of nail shapes. This study presents a new approach to translate the cuneiform writing by employing artificial neural network (ANN) technique. Effectively, multi-layer perceptron (MLP) neural network has been adapted for translating the Sumerian cuneiform symbol images to their corresponding English letters. This work has been successfully established and it attained 100%.
Co-Authors Lubab H. Albak Raid Rafi Omar-Nima