Skip to Main content Skip to Navigation
Journal articles

Automated Transliteration of Late Egyptian Using Neural Networks: An Experiment in “Deep Learning”: An Experiment in “Deep Learning”

Serge Rosmorduc 1
1 CEDRIC - VERTIGO - CEDRIC. Données complexes, apprentissage et représentations
CEDRIC - Centre d'études et de recherche en informatique et communications
Abstract : We apply deep Learning techniques to the task of automated transliteration of Late egyptian. after a brief presentation of the technology used, we examine the result to highlight the capabi- lities of the system, which is able to deal with a wide range of problems, including grammatical and phraseological ones. We then proceed to extract signs values from what the system has automatically learnt.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03118369
Contributor : Serge Rosmorduc Connect in order to contact the contributor
Submitted on : Thursday, January 20, 2022 - 10:41:07 AM
Last modification on : Monday, January 24, 2022 - 7:44:05 AM

File

LingAeg 28 (2020) Rosmorduc.pd...
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

Identifiers

Collections

Citation

Serge Rosmorduc. Automated Transliteration of Late Egyptian Using Neural Networks: An Experiment in “Deep Learning”: An Experiment in “Deep Learning”. Lingua Aegyptia - Journal of Egyptian Language Studies, Widmaier Verlag, 2020, Lingua Aegyptia, 28, pp.233-257. ⟨10.37011/lingaeg.28.07⟩. ⟨hal-03118369⟩

Share

Metrics

Les métriques sont temporairement indisponibles