<note xmlns="http://www.tei-c.org/ns/1.0" xml:id="ftn1" rend="footnote text" n="1">The German TDM implementation (§ 60d UrhG) allows only “to make the corpus available to the public for a specifically limited circle of persons for their joint scientific research“. For the DNB's holdings, this is only possible on the DNB's premises.</note><note xmlns="http://www.tei-c.org/ns/1.0" xml:id="ftn2" rend="footnote text" n="2">The source code of the conversion pipeline is available on GitHub at </note><note xmlns="http://www.tei-c.org/ns/1.0" xml:id="ftn3" rend="footnote text" n="3">For the advantages of maximising recall or precision via multiple classifiers, instead of trying to increase accuracy with just one classifier, see Belica et al. (2011).</note> <note xmlns="http://www.tei-c.org/ns/1.0" xml:id="ftn4" rend="footnote text" n="4">See the genre table in https://github.com/KorAP/epub2korap/blob/main/xslt/epub2i5.xsl </note> <note xmlns="http://www.tei-c.org/ns/1.0" xml:id="ftn5" rend="footnote text" n="5">See https://cran.r-project.org/package=RKorAPClient. An example R script that produces Figure 1 can be found here https://github.com/KorAP/epub2korap/blob/main/scripts/DeLiKoCompositionChart.R. </note><note xmlns="http://www.tei-c.org/ns/1.0" xml:id="ftn6" rend="footnote text" n="6"> https://pypi.org/project/KorAPClient/ </note>