Machine translation and automated analysis of the Sumerian language

This paper presents a newly funded international project for machine translation and automated analysis of ancient cuneiform languages where NLP specialists and Assyriologists collaborate to create an information retrieval system for Sumerian. This research is conceived in response to the need to translate large numbers of administrative texts that are only available in transcription, in order to make them accessible to a wider audience. The methodology includes creation of a specialized NLP pipeline and also the use of linguistic linked open data to increase access to the results.

Metadaten
Author:	Émilie Pagé-Perron, Maria Sukhareva, Ilya Khait, Christian Chiarcos ORCiD GND
URN:	urn:nbn:de:bvb:384-opus4-1041067
Frontdoor URL	https://opus.bibliothek.uni-augsburg.de/opus4/104106
ISBN:	978-1-945626-58-6OPAC
Parent Title (English):	Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, August 4, 2017, Vancouver, Canada
Publisher:	Association for Computational Linguistics
Place of publication:	Stroudsburg, PA
Editor:	Beatrice Alex, Stefania Degaetano-Ortlieb, Anna Feldman, Anna Kazantseva, Nils Reiter, Stan Szpakowicz
Type:	Conference Proceeding
Language:	English
Year of first Publication:	2017
Publishing Institution:	Universität Augsburg
Release Date:	2023/05/15
First Page:	10
Last Page:	16
DOI:	https://doi.org/10.18653/v1/w17-2202
Institutes:	Philologisch-Historische Fakultät
	Philologisch-Historische Fakultät / Angewandte Computerlinguistik
	Philologisch-Historische Fakultät / Angewandte Computerlinguistik / Lehrstuhl für Angewandte Computerlinguistik (ACoLi)
Dewey Decimal Classification:	0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):	CC-BY 4.0: Creative Commons: Namensnennung

Open Access