Lexical Semantic Change Detection

Lexical semantic change detection (LSCD) focuses on identifying how word meanings evolve over time, aiming to automatically track these shifts using computational methods. Current research emphasizes developing robust and interpretable models, leveraging techniques like contextualized word embeddings from large language models, semantic distance metrics, and the integration of synchronic lexical relations and definitions (e.g., from WordNet). These advancements improve the accuracy and explainability of LSCD, with implications for historical linguistics, computational lexicography, and applications requiring time-sensitive language understanding.