Studying Semantic Chain Shifts with Word2Vec: FOOD>MEAT>FLESH

Richard Zimmermann


Abstract
Word2Vec models are used to study the semantic chain shift FOOD>MEAT>FLESH in the history of English, c. 1425-1925. The development stretches out over a long time, starting before 1500, and may possibly be continuing to this day. The semantic changes likely proceeded as a push chain.
Anthology ID:
W19-4703
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:
23–28
Language:
URL:
https://aclanthology.org/W19-4703
DOI:
10.18653/v1/W19-4703
Bibkey:
Cite (ACL):
Richard Zimmermann. 2019. Studying Semantic Chain Shifts with Word2Vec: FOOD>MEAT>FLESH. In Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, pages 23–28, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Studying Semantic Chain Shifts with Word2Vec: FOOD>MEAT>FLESH (Zimmermann, LChange 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-4703.pdf