Speaker
Description
This paper investigates the accelerating influx of English slang into the Polish language, driven by digital globalization and social media usage. While historical Anglicisms often focused on technical or professional domains, modern borrowing increasingly penetrates the affective realm—informal expressions of identity, emotion, and subcultural belonging. Central to this exploratory research is the evaluation of Large Language Model (LLM) assistance as a supplementary tool in dynamic lexicography, where manual editorial processes traditionally struggle to capture short-lived online neologisms. This paper proposes a framework utilizing LLMs for initial candidate extraction and semantic mapping. Using a small-scale pilot survey of Polish speakers, we evaluate LLM outputs, discuss the systemic risks of automated lexicography (such as hallucinated forms and semantic overinterpretation), and outline the vital role of human validation in tracking modern slang.