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Machine Translation and Automated Analysis of the Sumerian Language

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Émilie Pagé-Perron; Maria Sukhareva; Ilya Khait; Christian Chiarcos
Machine Translation and Automated Analysis of the Sumerian Language
Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
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.

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