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

Thomas Haider, Steffen Eger


Abstract
Due to its semantic succinctness and novelty of expression, poetry is a great test-bed for semantic change analysis. However, so far there is a scarcity of large diachronic corpora. Here, we provide a large corpus of German poetry which consists of about 75k poems with more than 11 million tokens, with poems ranging from the 16th to early 20th century. We then track semantic change in this corpus by investigating the rise of tropes (‘love is magic’) over time and detecting change points of meaning, which we find to occur particularly within the German Romantic period. Additionally, through self-similarity, we reconstruct literary periods and find evidence that the law of linear semantic change also applies to poetry.
Anthology ID:
W19-4727
Volume:
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change
Month:
August
Year:
2019
Address:
Florence, Italy
Editors:
Nina Tahmasebi, Lars Borin, Adam Jatowt, Yang Xu
Venue:
LChange
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
216–222
Language:
URL:
https://aclanthology.org/W19-4727
DOI:
10.18653/v1/W19-4727
Bibkey:
Cite (ACL):
Thomas Haider and Steffen Eger. 2019. Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry. In Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, pages 216–222, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry (Haider & Eger, LChange 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-4727.pdf
Code
 thomasnikolaushaider/DLK