Till Lindemann, lead singer of the Rammstein group, has also published some collections of poems. You should not forget: he is the son of Werner Lindemann, who used to be a prominent writer in the times of the socialist German Democratic Rebublic. As I am (together with Claudia Lisa Moeller) translating one of these books, "In stillen Nächten"/ "On Quiet Nights" (English translation by Ehren Fordyce, Raw Dog Screaming Press, Bowie MD in 2025) into Italian, I took out my R Quanteda package in order to take a more distant view on the poems. The most frequent words ("stopwords" excluded) in Lindemann's poems are "Herz" ("heart"), which appears 33 times, and "Liebe" ("love") with 26 occurrences. This might seem similar to the frequencies in Rammstein songs, where we read the leading word "Liebe" 46 times, followed by "Mann"/ man (45). We might assume that, since "Herz" is often ta...
The literary quality of these texts is evident. If you have studied German literature, you cannot ignore the allusions not only to GDR songs and brothers Grimm, but also to Trakl and French Symbolism. But how can we analyze Rammstein texts? I want to make them read by the machine. The programming languages R and Python offer a lot of packages with interesting methods of getting into the texts. I am curious about how we can, by machine Learning, find something out.