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Amazon.com

22 Songs that Write Themselves from The Songwriter’s Rhyming Dictionary

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Amazon.com

Sammy Cahn was a songwriter in the classic American mold. Raised Samuel Cohen by Jewish immigrants on the Lower East Side of New York City, Cahn cut his chops as a musician in Bar Mitzvah bands, Atlantic City hotels, and Catskills resorts before penning the English lyrics for “Bei Mir Bist Du Schoen,” a breakout hit for the Andrews Sisters. With collaborators Saul Chaplin, Jules Styne, and Jimmy van Heusen, he went on to write some of the best-known lyrics of the '40s, '50s, and '60s, including “It’s Been a Long, Long Time,” “My Kind of Town,” “All the Way,” “Love and Marriage,” “High Hopes,” “Come Fly With Me,” and “Let it Snow! Let it Snow! Let it Snow!”

He had a way with the vernacular and knew the difference between a rhyme and a singable rhyme. As he once said, “if the word orange is unrhymable, locksmiths is unsingable. And singability is the difference between a poem and a lyric.” He also said, “I am often asked, 'Which comes first—the words or the music?' I answer that what comes first is the phone call asking you to write a song.”

In 1983 Cahn decided to share some of his secrets with aspiring lyricists when he published The Songwriter’s Rhyming Dictionary. The dictionary is arranged by vowel sound and number of syllables. While usual rhymes like moon/June are scattered through the lists, the true genius of the book is in pairings like better half/telegraph. Even the mundane lists have some kickers mixed in: remember, December, September, November, dismember. The words are not arranged alphabetically, but by what seems to be the most suggestive plotline. The lists are essentially songs that write themselves. Here are 22 songs just waiting for a melody from Sammy Cahn’s rhyming Dictionary.

1. Vis-à-vis, Muscovy, eau-de-vie, c’est la vie, anchovy

2. Mildewy, St. Louis, chop suey

3. Anywhere, billionaire, debonair, Delaware, everywhere, millionaire, overbear, questionnaire, rocking chair, savoir faire, solitaire, thoroughfare, unaware, underwear

4. Percussion, concussion, discussion

5. Insulted, consulted, resulted, exulted

6. Chatterbox, paradox, orthodox, Goldilocks, chicken pox

7. Scuttlebutt, hazelnut, butternut, coconut

8. Undershirt, introvert, extrovert

9. Caliber, caliper, massacre, lavender, calendar, islander, pillager, villager, manager, voyager, challenger, passenger, messenger, scavenger, publisher, polisher, punisher, nourisher, Britisher, copier, connoisseur, amateur

10. Reproduce, introduce, Syracuse, charlotte russe

11. Sandbox, strongbox, jukebox, mailbox, pillbox, hatbox, smallpox, ham hocks

12. Avant-garde, bodyguard, boulevard, disregard

13. Iliad, iron-clad, ivy-clad, myriad, Leningrad, Trinidad, undergrad

14. Disbander, left-hander, Icelander, demander, expander, meander, philander, commander, withstander, Laplander

15. Bourgeoisie, chimpanzee

16. Annabel, Isabell, Jezebel, citadel, infidel, parallel, nonpareil, undersell, oversell, carousel, cockleshell

17. Dominoes, decompose, recompose, predispose, indispose, Irish rose

18. Shuffleboard, overboard, open-doored, unexplored, harpsichord, clavichord, overlord, diving board

19. Pentecost, Holocaust, double-crossed

20. Overjoyed, alkaloid, unemployed, asteroid

21. Myrtle, fertile, turtle

22. Vestibule, Istanbul, April fool, molecule, ridicule, Sunday school, swimming pool

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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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Name the Author Based on the Character
May 23, 2017
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