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6 Dictionary Mysteries You Can Help Solve

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Thinkstock

You may think the dictionary reflects the official pronouncements of some all-knowing authority from on high, but in fact, it represents how words have been used by actual people out there in the world. Getting a word or a particular meaning of a word into the dictionary depends on documented examples being found of people using it in various texts throughout history. The Oxford English Dictionary, the most comprehensive, respected source on English, has a long tradition of collecting evidence from volunteer members of the public. In the old days, volunteers would copy down quotations from sources that contained examples of particular word usages and mail them in to the dictionary editors. These days anyone who wants to help can submit examples online at OED Appeals.

The OED Appeals page puts out calls for documented sources on the use of words and phrases of interest to the editors. Most of them involve newer expressions that have been dated to a certain year, but the editors believe they may be missing earlier examples that have not yet been discovered. Do you have a stack of old magazines? Do you like sifting through old newspapers and books? Maybe you can help! Here are six appeals from the OED. (If you see that others have volunteered examples in the OED comments, don't be discouraged. They may not be verifiable, and yours may be the one that ultimately is!)

1. Long Island iced tea

Legend has it that this highly alcoholic concoction was created at a Long Island nightclub in the early 1970s, but the earliest documented use of the name in print is from 1981. Can you find an earlier example?

2. mullet

Editors have traced this word for the short in front/long in back hairstyle to a 1994 Beastie Boys song ("Mullet Head"). Doesn't it seem older than that? Can you find an earlier "mullet"?

3. ew

This "expression of disgust" is currently dated to 1978. Is that when it first made it into print? The dictionary considers many print sources. Even high school yearbooks!

4. mani-pedi

This term for a combination manicure-pedicure treatment seems to have come from the Philippines, and the earliest verified example is from 1972. Do you remember seeing it before that? Does your salon have some really old magazines around?

5. email

When did people start using "email" (or e-mail) instead of "electronic mail"? The OED's first example is from 1979. Look through your company's old memos (or electronic mail messages) and see if you can find an earlier one!

6. Meanderings of Memory (source book)

This is a rather exciting mystery. A number of entries in the OED are documented with examples from an 1852 work called Meanderings of Memory, but no one has seen a copy of it. Have you? Was it the invention of a mischievous volunteer? Or is it hard to find because it was a work of pornography? (This is the theory that the Appeals comment thread is converging on.) Either way, exciting!

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iStock // Ekaterina Minaeva
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Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
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iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

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What Happened to Jamie and Aurelia From Love Actually?
May 26, 2017
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Nick Briggs/Comic Relief

Fans of the romantic-comedy Love Actually recently got a bonus reunion in the form of Red Nose Day Actually, a short charity special that gave audiences a peek at where their favorite characters ended up almost 15 years later.

One of the most improbable pairings from the original film was between Jamie (Colin Firth) and Aurelia (Lúcia Moniz), who fell in love despite almost no shared vocabulary. Jamie is English, and Aurelia is Portuguese, and they know just enough of each other’s native tongues for Jamie to propose and Aurelia to accept.

A decade and a half on, they have both improved their knowledge of each other’s languages—if not perfectly, in Jamie’s case. But apparently, their love is much stronger than his grasp on Portuguese grammar, because they’ve got three bilingual kids and another on the way. (And still enjoy having important romantic moments in the car.)

In 2015, Love Actually script editor Emma Freud revealed via Twitter what happened between Karen and Harry (Emma Thompson and Alan Rickman, who passed away last year). Most of the other couples get happy endings in the short—even if Hugh Grant's character hasn't gotten any better at dancing.

[h/t TV Guide]

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