SCoT: Sense Clustering over Time: a tool for the analysis of lexical change

03/18/2022
by   Christian Haase, et al.
0

We present Sense Clustering over Time (SCoT), a novel network-based tool for analysing lexical change. SCoT represents the meanings of a word as clusters of similar words. It visualises their formation, change, and demise. There are two main approaches to the exploration of dynamic networks: the discrete one compares a series of clustered graphs from separate points in time. The continuous one analyses the changes of one dynamic network over a time-span. SCoT offers a new hybrid solution. First, it aggregates time-stamped documents into intervals and calculates one sense graph per discrete interval. Then, it merges the static graphs to a new type of dynamic semantic neighbourhood graph over time. The resulting sense clusters offer uniquely detailed insights into lexical change over continuous intervals with model transparency and provenance. SCoT has been successfully used in a European study on the changing meaning of `crisis'.

READ FULL TEXT

page 2

page 3

06/07/2022

BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection

We propose a solution for the LSCDiscovery shared task on Lexical Semant...
06/07/2019

A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains

We perform an interdisciplinary large-scale evaluation for detecting lex...
01/09/2020

Simulating Lexical Semantic Change from Sense-Annotated Data

We present a novel procedure to simulate lexical semantic change from sy...
06/06/2021

Lexical Semantic Change Discovery

While there is a large amount of research in the field of Lexical Semant...
05/17/2014

That's sick dude!: Automatic identification of word sense change across different timescales

In this paper, we propose an unsupervised method to identify noun sense ...
01/22/2021

Lexical semantic change for Ancient Greek and Latin

Change and its precondition, variation, are inherent in languages. Over ...
06/24/2022

A Phylogenetic Model of the Evolution of Discrete Matrices for the Joint Inference of Lexical and Phonological Language Histories

We propose a model of the evolution of a matrix along a phylogenetic tre...