The Visualization of Change in Word Meaning over Time using Temporal Word Embeddings

TL;DR

This paper presents a visualization tool that leverages temporal word embeddings derived from static datasets and timestamped n-gram corpora to illustrate how word meanings evolve over time.

Contribution

It introduces a method to visualize semantic change by combining static embeddings with temporal data, enabling dynamic analysis of language evolution.

Findings

Effective visualization of semantic shifts over time

Integration of static embeddings with timestamped corpora

Facilitates understanding of language change

Abstract

We describe a visualization tool that can be used to view the change in meaning of words over time. The tool makes use of existing (static) word embedding datasets together with a timestamped $n$-gram corpus to create {\em temporal} word embeddings.