Machine Translation and Automated Analysis of the Sumerian Language
Émilie Pagé-Perron, Maria Sukhareva, Ilya Khait, Christian Chiarcos
Abstract
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.- Anthology ID:
- W17-2202
- Volume:
- Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Beatrice Alex, Stefania Degaetano-Ortlieb, Anna Feldman, Anna Kazantseva, Nils Reiter, Stan Szpakowicz
- Venue:
- LaTeCH
- SIG:
- SIGHUM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 10–16
- Language:
- URL:
- https://preview.aclanthology.org/remove-affiliations/W17-2202/
- DOI:
- 10.18653/v1/W17-2202
- Cite (ACL):
- Émilie Pagé-Perron, Maria Sukhareva, Ilya Khait, and Christian Chiarcos. 2017. Machine Translation and Automated Analysis of the Sumerian Language. In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 10–16, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Machine Translation and Automated Analysis of the Sumerian Language (Pagé-Perron et al., LaTeCH 2017)
- PDF:
- https://preview.aclanthology.org/remove-affiliations/W17-2202.pdf