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In this paper, we model semantic change by studying the effect of unexpected contexts introduced by lexical replacements Modern language models are capable of contextualizing words based on their surrounding context We propose a replacement schema where a target word is substituted with lexical replacements of varying relatedness, thus simulating different kinds of semantic change.

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Lexical semantics is the study of word meaning Survey of computational approaches to lexical semantic change this article is a survey of recent computational techniques to tackle lexical semantic change, in particular we focus on diachronic … The following first presents an overview of the main phenomena studied in lexical semantics and then charts the different theoretical traditions that have contributed to the development of the field.

To sum up, we can conclude that a model that reconstructs the probability of lexical meaning in prehistory is possible

This model can also be used to assess the semantic change rates of lexical concepts. The most recent work on detecting lexical semantic changes uses a bart model (lyu et al., 2022), which has significantly fewer trainable parameters compared to a modern llm Lexical semantic change (lsc) is the task of identifying, interpreting, and assessing the possible change over time in the meanings of a target word. Specifically, we propose a variety of psycholinguistic factors—semantic, distributional, and phonological—that we hypothesize are predictive of lexical decline, in which words greatly decrease in frequency over time.

The notion of polysemy plays a key role in understanding semantic change as a process, because a common way for semantic change to take place is by an intermediate stage of polysemy.