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Languages are continuously undergoing changes, and the mechanisms thatunderlie these changes are still a matter of debate. In this work, we approachlanguage evolution through the lens of causality in order to model not only howvarious distributional factors associate with language change, but how theycausally affect it. In particular, we study slang, which is an informallanguage that is typically restricted to a specific group or social setting. Weanalyze the semantic change and frequency shift of slang words and compare themto those of standard, nonslang words. With causal discovery and causalinference techniques, we measure the effect that word type (slang/nonslang) hason both semantic change and frequency shift, as well as its relationship tofrequency, polysemy and part of speech. Our analysis provides some new insightsin the study of language change, e.g., we show that slang words undergo lesssemantic change but tend to have larger frequency shifts over time.

Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang