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The conjunction of NLP and the humanities has been gaining importance over the last years. As part of this development more and more historical documents are getting digitized and can be used as an input for established NLP methods. In this paper we present a corpus of texts from reports of the Ministry of State Security of the former GDR. Although written in a distinctive kind of sublanguage, we show that traditional NLP can be applied with satisfying results. We use these results as a basis for providing new ways of presentation and exploration of the data which then can be accessed by a wide spectrum of users.

The GDR Through the Eyes of the Stasi - Data Mining on the Secret Reports of the State Security Service of the former German Democratic Republic