@inproceedings{page-perron-etal-2017-machine,
title = "Machine Translation and Automated Analysis of the {S}umerian Language",
author = "Pag{\'e}-Perron, {\'E}milie and
Sukhareva, Maria and
Khait, Ilya and
Chiarcos, Christian",
editor = "Alex, Beatrice and
Degaetano-Ortlieb, Stefania and
Feldman, Anna and
Kazantseva, Anna and
Reiter, Nils and
Szpakowicz, Stan",
booktitle = "Proceedings of the Joint {SIGHUM} Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-2202",
doi = "10.18653/v1/W17-2202",
pages = "10--16",
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.",
}
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%0 Conference Proceedings
%T Machine Translation and Automated Analysis of the Sumerian Language
%A Pagé-Perron, Émilie
%A Sukhareva, Maria
%A Khait, Ilya
%A Chiarcos, Christian
%Y Alex, Beatrice
%Y Degaetano-Ortlieb, Stefania
%Y Feldman, Anna
%Y Kazantseva, Anna
%Y Reiter, Nils
%Y Szpakowicz, Stan
%S Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F page-perron-etal-2017-machine
%X 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.
%R 10.18653/v1/W17-2202
%U https://aclanthology.org/W17-2202
%U https://doi.org/10.18653/v1/W17-2202
%P 10-16
Markdown (Informal)
[Machine Translation and Automated Analysis of the Sumerian Language](https://aclanthology.org/W17-2202) (Pagé-Perron et al., LaTeCH 2017)
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.