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Due to its semantic succinctness and novelty of expression, poetry is a greattest bed for semantic change analysis. However, so far there is a scarcity oflarge diachronic corpora. Here, we provide a large corpus of German poetrywhich consists of about 75k poems with more than 11 million tokens, with poemsranging from the 16th to early 20th century. We then track semantic change inthis corpus by investigating the rise of tropes (`love is magic') over time anddetecting change points of meaning, which we find to occur particularly withinthe German Romantic period. Additionally, through self-similarity, wereconstruct literary periods and find evidence that the law of linear semanticchange also applies to poetry.

Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry