Studying Laws of Semantic Divergence across Languages using Cognate Sets

Ana Uban, Alina Maria Ciobanu, Liviu P. Dinu


Abstract
Semantic divergence in related languages is a key concern of historical linguistics. Intra-lingual semantic shift has been previously studied in computational linguistics, but this can only provide a limited picture of the evolution of word meanings, which often develop in a multilingual environment. In this paper we investigate semantic change across languages by measuring the semantic distance of cognate words in multiple languages. By comparing current meanings of cognates in different languages, we hope to uncover information about their previous meanings, and about how they diverged in their respective languages from their common original etymon. We further study the properties of their semantic divergence, by analyzing how the features of words such as frequency and polysemy are related to the divergence in their meaning, and thus make the first steps towards formulating laws of cross-lingual semantic change.
Anthology ID:
W19-4720
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:
161–166
Language:
URL:
https://aclanthology.org/W19-4720
DOI:
10.18653/v1/W19-4720
Bibkey:
Cite (ACL):
Ana Uban, Alina Maria Ciobanu, and Liviu P. Dinu. 2019. Studying Laws of Semantic Divergence across Languages using Cognate Sets. In Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, pages 161–166, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Studying Laws of Semantic Divergence across Languages using Cognate Sets (Uban et al., LChange 2019)
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PDF:
https://aclanthology.org/W19-4720.pdf