Abstract

 
 
 This article presents the digital edition of Robert Musil’s work (Klagenfurter Ausgabe) and its role in a digital humanities project aimed at reconstructing Musil’s activity in the WWI journal Tiroler Soldaten-Zeitung. First, the article reviews the ways in which the compu- tational methods of stylometry are applied to attribute the anonymous texts published in the Klagenfurter Ausgabe. Second, it explores how optical character recognition (OCR) soft- ware is employed to expand the corpus. At the core of this methodology two machine learn- ing algorithms are trained and revised using the transcriptions of the Klagenfurter Ausgabe, to reach an accuracy of about 99.9% in the digitization of the Tiroler Soldaten-Zeitung texts. The work of this project offers not only the possibility of expanding stylometric analysis to the whole journal, but also of improving the transcriptions of the Klagenfurter Ausgabe.
 
 
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