• 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
    Subject(s):
    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
    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:
    1 year ago
    License:
    Attribution
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