Transliteration Model for Egyptian Words

Heidi Jauhiainen; Tommi Jauhiainen

doi:10.5617/dhnbpub.10659

Transliteration Model for Egyptian Words

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

In this paper, we describe token-based transliteration models for Egyptian words. We explain how we created them using an automatic alignment method we devised based on the Needleman-Wunsch sequence alignment algorithm. We use two sources where encoded Egyptian hieroglyphs and their transliteration pairs are available. Ancient Egyptian Sentences (AES) includes a collection of texts where c. 254,000 Egyptian words encoded using Manual de Codage (MdC) have been aligned with their transliteration counterparts. The second source is the Ramses Transliteration Corpus (RTC), with almost 500,000 MdC encoded words. The RTC consists of encoded hieroglyphic sentences, each on its line, and respective transliteration lines in another file. However, unlike the AES, there is no ready alignment of the MdC and its transliteration on the word level. In order to find word-transliteration pairs, we align the sentences of encoded words with the respective transliterations. The alignment task is made more difficult because many of the texts contain damaged parts and editorial additions.

Original language	English
Title of host publication	DHNB2023 : Conference Proceedings
Editors	Annika Rockenberger, Juliane Tiemann, Sofie Gilbert
Number of pages	16
Place of Publication	Oslo
Publisher	University of Oslo Library
Publication date	10 Oct 2023
Pages	149-164
ISBN (Electronic)	978-82-8037-202-4
DOIs	https://doi.org/10.5617/dhnbpub.10659
Publication status	Published - 10 Oct 2023
MoE publication type	A4 Article in conference proceedings
Event	Digital Humanities in the Nordic and Baltic Countries - Oslo/Stavanger/Bergen, Norway Duration: 8 Mar 2023 → 10 Mar 2023 Conference number: 7

Publication series

Name	Digital Humanities in the Nordic and Baltic Countries Publications
Publisher	University of Oslo Library
Number	1
Volume	5
ISSN (Electronic)	2704-1441

Fields of Science

6121 Languages
113 Computer and information sciences

Access to Document

10.5617/dhnbpub.10659Licence: CC BY

Transliteration-ModelFinal published version, 466 KBLicence: CC BY

1 Finished
3 Active

ANEE: Centre of Excellence in Ancient Near Eastern Empires
Svärd, S. (Project manager), Alstola, T. (Participant), Auranne, T. (Participant), Bennett, E. R. (Participant), Hietamäki, T. A. E. (Participant), Jauhiainen, H. (Participant), Jones, C. W. (Participant), Kankkunen, J. A. (Participant), Ketonen, A. K. (Participant), Liikanen, C. S. (Participant), Lund, J. S. A. (Participant), Ong, M. C. (Participant), Pietarinen, S. L. (Participant), Ruotsalainen, A. J. (Participant), Sakko, M. T. (Participant), Spunaugle, A. (Participant), Tambs, L. (Participant) & Valk, J. (Participant)
Suomen Akatemia Projektilaskutus
01/01/2023 → 31/12/2025
Project: Research Council of Finland: Centre of Exellence
MaReTE: Machine Readable Texts for Egyptologists
Jauhiainen, H. (Project manager)
Finnish Cultural Foundation
01/01/2021 → …
Project: Research project
ANEE: ANEE Team 1: Digital Humanities Approaches
Svärd, S. (Principal Investigator), Linden, K. (Participant), Bach, J. (Participant), Jauhiainen, T. (Participant), Jauhiainen, H. (Participant), Sahala, A. (Participant), Konstantopoulos, G. (Participant), Fink, S. (Participant), Zaia, S. (Participant), Luukko, M. I. (Participant), Bennett, E. R. (Participant), Alstola, T. (Participant), Vanderstraeten, E. (Participant), Autere, K. (Participant), Giessler, J. (Participant), Debourse, C. H. I. (Participant), Tambs, L. (Participant), Valk, J. (Participant), Uotila, R. (Participant) & Jones, C. W. (Participant)
01/01/2018 → 31/12/2025
Project: Research project

Transliteration Model for Egyptian Words
Jauhiainen, H. (Creator) & Jauhiainen, T. (Creator), Zenodo, 31 May 2023
DOI: 10.5281/zenodo.7991241, https://github.com/MaReTEgyptologists/TranslitModels
Dataset

Transliteration Model for Egyptian Words
Jauhiainen, H. (Speaker)
8 Mar 2023
Activity: Talk or presentation types › Oral presentation
Aligning Encoded Hieroglyphic and Translated Words with Needleman-Wunsch Algorithm
Jauhiainen, H. (Speaker)
5 Jul 2023
Activity: Talk or presentation types › Oral presentation

Cite this

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title = "Transliteration Model for Egyptian Words",

abstract = "In this paper, we describe token-based transliteration models for Egyptian words. We explain how we created them using an automatic alignment method we devised based on the Needleman-Wunsch sequence alignment algorithm. We use two sources where encoded Egyptian hieroglyphs and their transliteration pairs are available. Ancient Egyptian Sentences (AES) includes a collection of texts where c. 254,000 Egyptian words encoded using Manual de Codage (MdC) have been aligned with their transliteration counterparts. The second source is the Ramses Transliteration Corpus (RTC), with almost 500,000 MdC encoded words. The RTC consists of encoded hieroglyphic sentences, each on its line, and respective transliteration lines in another file. However, unlike the AES, there is no ready alignment of the MdC and its transliteration on the word level. In order to find word-transliteration pairs, we align the sentences of encoded words with the respective transliterations. The alignment task is made more difficult because many of the texts contain damaged parts and editorial additions.",

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Jauhiainen, H & Jauhiainen, T 2023, Transliteration Model for Egyptian Words. in A Rockenberger, J Tiemann & S Gilbert (eds), DHNB2023 : Conference Proceedings. Digital Humanities in the Nordic and Baltic Countries Publications, no. 1, vol. 5, University of Oslo Library, Oslo, pp. 149-164, Digital Humanities in the Nordic and Baltic Countries, Oslo/Stavanger/Bergen, Norway, 08/03/2023. https://doi.org/10.5617/dhnbpub.10659

Transliteration Model for Egyptian Words. / Jauhiainen, Heidi ; Jauhiainen, Tommi.
DHNB2023 : Conference Proceedings. ed. / Annika Rockenberger; Juliane Tiemann; Sofie Gilbert. Oslo: University of Oslo Library, 2023. p. 149-164 (Digital Humanities in the Nordic and Baltic Countries Publications; Vol. 5, No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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N2 - In this paper, we describe token-based transliteration models for Egyptian words. We explain how we created them using an automatic alignment method we devised based on the Needleman-Wunsch sequence alignment algorithm. We use two sources where encoded Egyptian hieroglyphs and their transliteration pairs are available. Ancient Egyptian Sentences (AES) includes a collection of texts where c. 254,000 Egyptian words encoded using Manual de Codage (MdC) have been aligned with their transliteration counterparts. The second source is the Ramses Transliteration Corpus (RTC), with almost 500,000 MdC encoded words. The RTC consists of encoded hieroglyphic sentences, each on its line, and respective transliteration lines in another file. However, unlike the AES, there is no ready alignment of the MdC and its transliteration on the word level. In order to find word-transliteration pairs, we align the sentences of encoded words with the respective transliterations. The alignment task is made more difficult because many of the texts contain damaged parts and editorial additions.

AB - In this paper, we describe token-based transliteration models for Egyptian words. We explain how we created them using an automatic alignment method we devised based on the Needleman-Wunsch sequence alignment algorithm. We use two sources where encoded Egyptian hieroglyphs and their transliteration pairs are available. Ancient Egyptian Sentences (AES) includes a collection of texts where c. 254,000 Egyptian words encoded using Manual de Codage (MdC) have been aligned with their transliteration counterparts. The second source is the Ramses Transliteration Corpus (RTC), with almost 500,000 MdC encoded words. The RTC consists of encoded hieroglyphic sentences, each on its line, and respective transliteration lines in another file. However, unlike the AES, there is no ready alignment of the MdC and its transliteration on the word level. In order to find word-transliteration pairs, we align the sentences of encoded words with the respective transliterations. The alignment task is made more difficult because many of the texts contain damaged parts and editorial additions.

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KW - 113 Computer and information sciences

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Transliteration Model for Egyptian Words

Abstract

Publication series

Fields of Science

Access to Document

Projects

ANEE: Centre of Excellence in Ancient Near Eastern Empires

MaReTE: Machine Readable Texts for Egyptologists

ANEE: ANEE Team 1: Digital Humanities Approaches

Datasets