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, elicitations, etc. 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, here, syntactic convergence phenomena in genetically unrelated, but neighboring languages from the Caucasus area, Armenian and Georgian.
@InProceedings{CHIARCOS18.5, author = {Christian Chiarcos ,Kathrin Donand ,Hasmik Sargsian ,Maxim Ionov and Jesse Wichers Schreur}, title = {Towards LLOD-based Language Contact Studies. A Case Study in Interoperability}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {John P. McCrae and Christian Chiarcos and Thierry Declerck and Jorge Gracia and Bettina Klimek}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-19-1}, language = {english} }
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