Synthetic linguistic data

Overview & Synopsis

Synthetic linguistic data have become increasingly prominent in linguistic research, from the analysis of large collections of AI-generated texts to controlled experiments investigating grammatical and lexical preferences. This glossary entry extends Bresnan's (2016) distinction between the linguistic garden and the bush by introducing an artificial plant nursery as a metaphor for synthetic data. We distinguish between synthetic bush data, consisting primarily of corpus-like collections of model-generated language, and synthetic garden data, in which model outputs are elicited under controlled conditions to investigate specific linguistic hypotheses. We argue that synthetic data constitute a distinct object of linguistic investigation: comparing them with natural language data can reveal both shared patterns and divergences, but their interpretation requires careful consideration of the conditions under which they are generated.