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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Transliteration Model for Egyptian Words

Authors: Jauhiainen, Heidi; Jauhiainen, Tommi;

Transliteration Model for Egyptian Words

Abstract

Transliteration (word) models for hieroglyphic texts created from The Ramses Transliteration Corpus, V. 2019-09-01 based on the Ramses Online data published by Serge Rosmorduc (in https://gitlab.cnam.fr/gitlab/rosmorse/ramses-trl and https://doi.org/10.5281/zenodo.4954597) and from the AES - Ancient Egyptian Sentences; Corpus of Ancient Egyptian sentences for corpus-linguistic research based on the Thesaurus Linguae Aegyptiae data published by Simon Schweitzer (in https://github.com/simondschweitzer/aes). The creation of the models is explained in: Jauhiainen, H. & T. Jauhiainen 2023. Transliteration Model for Egyptian Words. Digital Humanities in the Nordic and Baltic Countries Publications, 5(1), 149-164. https://doi.org/10.5617/dhnbpub.10659.

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Keywords

Language modelling, Transliteration, Ancient Egyptian

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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