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Machine Translation and Automated Analysis of the Sumerian Language
- Author(s):
- Christian Chiarcos, Ilya Khait, Émilie Pagé-Perron (see profile) , Maria Sukhareva
- Date:
- 2017
- Group(s):
- Assyriologists, Digital Humanists, NLP for Ancient languages
- Item Type:
- Conference paper
- Conf. Title:
- Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, ACL
- Conf. Org.:
- Association for Computational Linguistics
- Conf. Loc.:
- Vancouver
- Conf. Date:
- July 30-August 4, 2017
- Tag(s):
- Ancient languages
- Permanent URL:
- http://dx.doi.org/10.17613/M6JJ5H
- Abstract:
- This paper presents a newly funded international project for machine translation and automated analysis of ancient cuneiform 1 languages where NLP special ists 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.
- Metadata:
- xml
- Published as:
- Conference proceeding Show details
- Publisher:
- Association for Computational Linguistics
- Pub. Date:
- 2017
- Proceeding:
- Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, ACL
- Page Range:
- 10 - 16
- Status:
- Published
- Last Updated:
- 6 years ago
- License:
- Attribution
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