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DOI: 10.4230/OASIcs.LDK.2019.26
URN: urn:nbn:de:0030-drops-103900
URL: https://drops.dagstuhl.de/opus/volltexte/2019/10390/
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Weber, Tobias

Can Computational Meta-Documentary Linguistics Provide for Accountability and Offer an Alternative to "Reproducibility" in Linguistics?

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OASIcs-LDK-2019-26.pdf (0.3 MB)


Abstract

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.

BibTeX - Entry

@InProceedings{weber:OASIcs:2019:10390,
  author =	{Tobias Weber},
  title =	{{Can Computational Meta-Documentary Linguistics Provide for Accountability and Offer an Alternative to "Reproducibility" in Linguistics\l{}}},
  booktitle =	{2nd Conference on Language, Data and Knowledge (LDK 2019)},
  pages =	{26:1--26:8},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-105-4},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{70},
  editor =	{Maria Eskevich and Gerard de Melo and Christian F{\"a}th and John P. McCrae and Paul Buitelaar and Christian Chiarcos and Bettina Klimek and Milan Dojchinovski},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10390},
  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}
}

Keywords: Language Documentation, meta-documentary Linguistics, Citation, Methodology, Digital Humanities, Philology, Intertextuality
Seminar: 2nd Conference on Language, Data and Knowledge (LDK 2019)
Issue Date: 2019
Date of publication: 20.05.2019


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