Abstract
In a short, accessible book Linguistics: Why it Matters, Geoffrey Pullum, a leader in the field, offered an overview of what the study of linguistics is for the lay reader. In the penultimate chapter, titled ‘Machines that understand us’, Pullum (2018) set out to show what it would mean for computers to be able to use language like a human. He argued it would have to go beyond simple spoken or written word recognition and include processing of complex and novel structures. In this article, using ChatGPT, I revisit the tests that Pullum originally ran with Google and Microsoft Word, likewise for an audience curious about, but unfamiliar with, large language models.
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