  Knowledge of syntax includes knowledge of rare, idiosyncratic constructions.
LLMs must overcome frequency biases in order to master such constructions. In
this study, I prompt GPT-3 to give acceptability judgments on the
English-language Article + Adjective + Numeral + Noun construction (e.g., "a
lovely five days"). I validate the prompt using the CoLA corpus of
acceptability judgments and then zero in on the AANN construction. I compare
GPT- 3's judgments to crowdsourced human judgments on a subset of sentences.
GPT-3's judgments are broadly similar to human judgments and generally align
with proposed constraints in the literature but, in some cases, GPT-3's
judgments and human judgments diverge from the literature and from each other.
