Language Log

Since "Dognition" is now a Coursera MOOC as well as a company, it might be time to revisit an old, obscure and bitter joke — Garrison Cottrell, "Approaches to the Inverse Dogmatics Problem: Time for a Return to Localist Networks?", Connection Science 1993:

The innovative use of neural networks in the field of Dognitive Science has spurred the intense interest of the philosophers of Dognitive Science, the Dogmatists. The field of Dogmatics is devoted to making sense of the effect of neural networks on the conceptual underpinnings of Dognitive Science. Unfortunately, this flurry of effort has caused researchers in the rest of the fields of Dognitive Science to spend an inordinate amount of time attempting to make sense of the philosophers, otherwise known as the Inverse Dogmatics problem (Jordan, 1990). The problem seems to be that the philosophers have allowed themselves an excess of degrees of freedom in conceptual space, as it were, leaving the rest of us with an underconstrained optimization problem: should we bother listening to these folks, who may be somewhat more interesting than old Star Trek reruns, or should we try and get our work done?

The marvels of modern natural language processing:

Michael Glazer, who sent in the example, wonders whether Google Translate has overdosed on old Boris and Natasha segments from Rocky and Bullwinkle:

Everybody seems to enjoy sharing dialect maps displaying the boundaries of different American regionalisms. So it was only a matter of time before this enticing form of data visualization got satirized. On Twitter, Josh Cagan takes it in an absurdist direction.

https://twitter.com/joshacagan/status/885384919047782400

Do Victor's posts stoke your appetite for fine foods? Feast on these:

Created by Jonathan Smith:

David Crisp, "Gianforte: Congress’ newest misdemeanor", Last Best News 6/25/2017:

In case you were wondering whether Greg Gianforte will ever live down his body slam of a reporter for the Guardian, here’s a clue.

The Associated Press reported last week that Gianforte drew boos from the Republican side of the aisle during his brief speech following his swearing in as Montana’s representative in the U.S. House. The murmurs apparently had nothing to do with misdemeanor assault but came in response to Gianforte’s call to “drain the swamp” and for a bill denying pay to members of Congress if they fail to balance the budget.

But what’s really interesting is the C-SPAN transcript of Gianforte’s swearing in. The transcripts, according to a FAQ at the C-SPAN website, are drawn from the closed captioning that scrolls on the screen during sessions of Congress. The transcripts are included on the website to help visitors find the video they want, not to provide an accurate record of the actual speeches.

But they can nevertheless be revealing. On the tape, House Speaker Paul Ryan swears in Gianforte, then says, “Congratulations, you are now a member of the 115th Congress.” On the transcript, Ryan says, “Congratulations, you are now misdemeanor of the 115th Congress.”

When the parents are psycholinguists, the children get exposed to some weird stuff.

For example, the Stroop effect (words interfere with naming colors, e.g. GREEN RED BLUE) makes a great 4^th grade science project; 9 year olds think it’s hilarious. There are lots of fun versions of the task (e.g., SKY FROG APPLE) but prudence dictates avoiding this variant in which taboo words like FUCK COCK PUSSY produced greater interference than neutral words like FLEW COST PASTA (p < .01).

Or, the kid knows that “I see that the clothes on the floor in your room have risen a couple of feet above sea level” means “clean up the mess, please” but also that this is an indirect speech act because the form of the utterance (an assertion) differs from its communicative intent (a request).  Thus enabling exchanges such as “Can you take out the garbage???”  “Is that an indirect speech act?”

Adrienne LaFrance, "What an AI's Non-Human Language Actually Looks Like", The Atlantic 6/20/2017:

Something unexpected happened recently at the Facebook Artificial Intelligence Research lab. Researchers who had been training bots to negotiate with one another realized that the bots, left to their own devices, started communicating in a non-human language.  […]

https://www.youtube.com/watch?v=HtAd78dWUlA

Of course there are many words in any language that are similarly protean. In English, try "Okay". Or just "mm"…

Their legions grow with each passing day.  This post is about what they are called in Chinese (see below).

The Chinese people were fascinated with Trump even before he was sworn in as POTUS:

"Year of the cock" (1/4/17)

See also the references in the second half of the third post cited below.

Now that Trump has been President for more than four months, he is all the more popular among certain segments of the Chinese population.  Even top politicians who are jockeying for power at the 19th Party Congress to be held this fall are modeling themselves after Trump:

"China’s Leadership Reshuffle 2017: Rising Stars; How China’s regional chiefs use Trump tactic in race for top" (Choi Chi-yuk, SCMP, 6/3/17)

One mentioned Communist Party chief Xi Jinping’s name 26 times in a speech, another mentioned poverty 90 times

The covfefe fun continues.

My personal favorite is the covfefe recipe:

https://www.youtube.com/watch?v=BfIKEuUhpm8

And then there's  Riane Konc, "Covfefe…For Her", The New Yorker 6/1/2017:

Covfefe is for the flat-earthers. For the woman who doesn’t just believe what she’s told. We salute you, freethinker. We see you on the basketball court, trying to dribble a Frisbee. You’re a Covfefe woman.

If you've got a spare hour or two, check out #covfefe on Twitter. Or just read a news summary or ten.