As an answer to the need for accountability in linguistics, computational methodology and big data approaches offer an interesting perspective to the field of meta-documentary linguistics. The focus of this paper lies on the scientific process of citing published data and the insights this gives to the workings of a discipline. The proposed methodology shall aid to bring out the narratives of linguistic research within the literature. This can be seen as an alternative, philological approach to documentary linguistics.
@InProceedings{weber:OASIcs.LDK.2019.26, author = {Weber, Tobias}, title = {{Can Computational Meta-Documentary Linguistics Provide for Accountability and Offer an Alternative to "Reproducibility" in Linguistics?}}, booktitle = {2nd Conference on Language, Data and Knowledge (LDK 2019)}, pages = {26:1--26:8}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-95977-105-4}, ISSN = {2190-6807}, year = {2019}, volume = {70}, editor = {Eskevich, Maria and de Melo, Gerard and F\"{a}th, Christian and McCrae, John P. and Buitelaar, Paul and Chiarcos, Christian and Klimek, Bettina and Dojchinovski, Milan}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2019.26}, URN = {urn:nbn:de:0030-drops-103900}, doi = {10.4230/OASIcs.LDK.2019.26}, annote = {Keywords: Language Documentation, meta-documentary Linguistics, Citation, Methodology, Digital Humanities, Philology, Intertextuality} }
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