Translating Sumerian Symbols into French Letters

Authors

  • Raid Rafi Omar Al-Nima Northern Technical University
  • Lubab H. Albak Technical Engineering College of Mosul, Northern Technical University
  • Arwa Hamed Al-Hamdany Northern Technical University

DOI:

https://doi.org/10.56286/ntujet.v3i1.660

Keywords:

Cascade-Forward Neural Network French letters Translation Sumerian Symbols

Abstract

Sumerian symbols, which look like cuneiform letters, were used in a very old writing style. In this paper, a new method to translate the Sumerian symbols into French letters is introduced. It is based on the Cascade-Forward Neural Network (CFNN). The CFNN is exploited and adapted for the translation issue. It accepts a cuneiform letter image as an input and produces an appropriate output that refers to the translated french letter. Reasonable image augmentations are employed. These augmentations are for the: left direction rotations, right direction rotations and multiple translation directions (to the left, right, bottom and top). Total of 780 images are utilized for rotations and 338 images are collected for translations. This work can successfully attain the performance of 100%.

Additional Files

Published

2024-03-15

Issue

Section

Articles

How to Cite

[1]
“Translating Sumerian Symbols into French Letters”, NTU-JET, vol. 3, no. 1, Mar. 2024, doi: 10.56286/ntujet.v3i1.660.

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