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          <dc:title>Can Computational Meta-Documentary Linguistics Provide for Accountability and Offer an Alternative to "Reproducibility" in Linguistics?</dc:title>
          <dc:creator>Weber, Tobias</dc:creator>
          <dc:subject>Language Documentation</dc:subject>
          <dc:subject>meta-documentary Linguistics</dc:subject>
          <dc:subject>Citation</dc:subject>
          <dc:subject>Methodology</dc:subject>
          <dc:subject>Digital Humanities</dc:subject>
          <dc:subject>Philology</dc:subject>
          <dc:subject>Intertextuality</dc:subject>
          <dc:description>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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Tobias Weber</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 70, 2nd Conference on Language, Data and Knowledge (LDK 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.LDK.2019.26</dc:identifier>
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