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Unlocking cultural conceptualisation in indigenous language resources: collaborative computing methodologies

Dorn, Amelie, Wandl-Vogt, Eveline orcid logoORCID: 0000-0002-0802-0255, Abgaz, Yalemisew orcid logoORCID: 0000-0002-3887-5342, Benito Santos, Alejandro orcid logoORCID: 0000-0001-5317-6390 and Therón, Roberto orcid logoORCID: 0000-0001-6739-8875 (2018) Unlocking cultural conceptualisation in indigenous language resources: collaborative computing methodologies. In: 11th Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki, Japan. ISBN 979-10-95546-22-1

Abstract
The world’s indigenous languages and related cultural knowledge are under considerable threat of diminishing given the increasing expansion of the use of standard languages, particularly through the wide-ranging pervasion of digital media and machine readable editions of electronic resources. There is thus a pressing need to preserve and breathe life into traditional data resources containing both valuable linguistic and cultural knowledge. In this paper we demonstrate on the example of an Austrian non-standard language resource (DBÖ/dbo@ema), how the combined application of semantic modelling of cultural concepts and visual exploration tools are key in unlocking the indigenous knowledge system, traditional world views and valuable cultural content contained within this rich resource. The original data collection questionnaires serve as a pilot case study and initial access point to the entire collection. Set within a Digital Humanities context, the collaborative methodological approach described here acts as a demonstrator for opening up traditional/nonstandard language resources for cultural content exploration through computing, ultimately giving access to, re-circulating and preserving otherwise lost immaterial cultural heritage.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:indigenous languages; cultural conceptualisation; data visualisation; semantic data modelling
Subjects:Computer Science > Computational linguistics
DCU Faculties and Centres:Research Institutes and Centres > ADAPT
Published in: Soria, Claudia, Besacier, Laurent and Pretorius, Laurette, (eds.) CCURL 2018 2018 Workshop Proceedings. . ELRA. ISBN 979-10-95546-22-1
Publisher:ELRA
Copyright Information:© 2018 European Language Resources Association CC 4.0
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Nationalstiftung of the Austrian Academy of Sciences under the funding scheme: Digitales kulturelles Erbe, No. DH2014/22. as part of the exploreAT! project, Science Foundation Ireland Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.
ID Code:23189
Deposited On:15 Apr 2019 16:01 by Thomas Murtagh . Last Modified 18 Jan 2021 17:14
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