# German in Flux: Detecting Metaphoric Change via Word Entropy

## TL;DR

This paper introduces an entropy-based method to detect metaphoric language change in German, creating a new diachronic test set and demonstrating high, unsupervised, language-independent performance.

## Contribution

It presents the first diachronic test set for German metaphoric change detection and applies an entropy-based, unsupervised approach that generalizes across semantic change processes.

## Key findings

- High performance in metaphoric change detection
- First diachronic test set for German created
- Method is unsupervised and language-independent

## Abstract

This paper explores the information-theoretic measure entropy to detect metaphoric change, transferring ideas from hypernym detection to research on language change. We also build the first diachronic test set for German as a standard for metaphoric change annotation. Our model shows high performance, is unsupervised, language-independent and generalizable to other processes of semantic change.