Towards LLOD-based language contact studies: a case study in interoperability
- We describe a methodological and technical framework for conducting qualitative and quantitative studies of linguistic research questions over diverse and heterogeneous data sources such as corpora and elicitations. We demonstrate how LLOD formalisms can be employed to develop extraction pipelines for features and linguistic examples from corpora and collections of interlinear glossed text, and furthermore, how SPARQL UPDATE can be employed (1) to normalize diverse data against a reference data model (here, POWLA), (2) to harmonize annotation vocabularies by reference to terminology repositories (here, OLiA), (3) to extract examples from these normalized data structures regardless of their origin, and (4) to implement this extraction routine in a tool-independent manner for different languages with different annotation schemes. We demonstrate our approach for language contact studies for genetically unrelated, but neighboring languages from the Caucasus area, Eastern Armenian andWe describe a methodological and technical framework for conducting qualitative and quantitative studies of linguistic research questions over diverse and heterogeneous data sources such as corpora and elicitations. We demonstrate how LLOD formalisms can be employed to develop extraction pipelines for features and linguistic examples from corpora and collections of interlinear glossed text, and furthermore, how SPARQL UPDATE can be employed (1) to normalize diverse data against a reference data model (here, POWLA), (2) to harmonize annotation vocabularies by reference to terminology repositories (here, OLiA), (3) to extract examples from these normalized data structures regardless of their origin, and (4) to implement this extraction routine in a tool-independent manner for different languages with different annotation schemes. We demonstrate our approach for language contact studies for genetically unrelated, but neighboring languages from the Caucasus area, Eastern Armenian and Georgian.…
Author: | Christian ChiarcosORCiDGND, Kathrin Donandt, Hasmik Sargsian, M. Ionov, Jesse Wichers Schreur |
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URN: | urn:nbn:de:bvb:384-opus4-1040947 |
Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/104094 |
URL: | http://lrec-conf.org/workshops/lrec2018/W23/index.html |
ISBN: | 979-10-95546-19-1OPAC |
Parent Title (English): | Proceedings of the 6th Workshop on Linked Data in Linguistics: Towards Linguistic Data Science, co-located with LREC2018, 12 May 2018, Miyazaki, Japan |
Publisher: | European Language Resources Association |
Place of publication: | Paris |
Editor: | John P. McCrae, Christian ChiarcosORCiDGND, Thierry Declerck, Jorge Gracia, Bettina Klimek |
Type: | Conference Proceeding |
Language: | English |
Year of first Publication: | 2018 |
Publishing Institution: | Universität Augsburg |
Release Date: | 2023/05/16 |
Institutes: | Philologisch-Historische Fakultät |
Philologisch-Historische Fakultät / Angewandte Computerlinguistik | |
Philologisch-Historische Fakultät / Angewandte Computerlinguistik / Lehrstuhl für Angewandte Computerlinguistik (ACoLi) | |
Dewey Decimal Classification: | 4 Sprache / 40 Sprache / 400 Sprache |
Licence (German): | CC-BY-NC 4.0: Creative Commons: Namensnennung - Nicht kommerziell (mit Print on Demand) |