Geoff Nunberg

Geoff Nunberg is the linguist contributor on NPR's Fresh Air with Terry Gross.

He teaches at the School of Information at the University of California at Berkeley and is the author of The Way We Talk Now, Going Nucular, Talking Right and The Years of Talking Dangerously. His most recent book is Ascent of the A-Word. His website is www.geoffreynunberg.com.

We English-speakers take a perverse pride in the orneriness of our spelling, which is one reason why the spelling bee has been a popular entertainment since the 19th century. It's fun watching schoolchildren getting difficult words right. It can be even more entertaining to watch literate adults getting them wrong.

HBO's Silicon Valley is back, with its pitch-perfect renderings of the culture and language of the tech world — like at the opening of the "Disrupt" startup competition run by the Tech Crunch website at the end of last season. "We're making the world a better place through scalable fault-tolerant distributed databases" — the show's writers didn't have to exercise their imagination much to come up with those little arias of geeky self-puffery, or with the name Disrupt, which, as it happens, is what the Tech Crunch conferences are actually called.

I think of English usage as one of those subjects like cocktails or the British royal family. A lot of people take a passing interest in it but you never know who's going to turn out to be a true believer — the kind of person who complains about the grammar errors on restaurant menus. "Waiter, there's a split infinitive in my soup!"

"Infobesity," "lumbersexual," "phablet." As usual, the items that stand out as candidates for word of the year are like its biggest pop songs, catchy but ephemeral. But even a fleeting expression can sometimes encapsulate the zeitgeist. That's why I'm nominating "God view" for the honor.

To judge from some of the headlines, it was a very big deal. At an event held at the Royal Society in London, for the first time ever, a computer passed the Turing Test, which is widely taken as the benchmark for saying a machine is engaging in intelligent thought. But like the other much-hyped triumphs of artificial intelligence, this one wasn't quite what it appeared. Computers can do things that seem quintessentially human, but they usually take a different path to get there.

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