Amato, Alessandra

Bucur, Doina

Kazi, Raef

Wang, Shenghui

English

The meaning and usage of a concept or a word changes over time. These diachronic semantic shifts reflect the change of societal and cultural consensus as well as the evolution of science. The availability of large-scale corpora and recent success in language models have enabled researchers to analyze semantic shifts in great detail. However, current research lacks intuitive ways of presenting diachronic semantic shifts and making them comprehensive. In this paper, we study the PubMed dataset and compute semantic shifts across six decades. We develop three visualization methods that can show, given a root word: the temporal change in its linguistic context, word re-occurrence, degree of similarity, time continuity, and separate trends per geographic location. We also propose a taxonomy that classifies visualization methods for diachronic semantic shifts with respect to different purposes.</p

University of Twente Research Information

Visualization Methods for Diachronic Semantic Shift

https://ris.utwente.nl/ws/files/326526636/2022.sdp-1.10.pdf

Visualization Methods for Diachronic Semantic Shift

Abstract

Similar works

Full text

Available Versions

University of Twente Research Information