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4 Fake Grammar Rules You Don't Need to Worry About

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There are many grammar rules that the student of English must learn about in order to understand how the language works. There are some rules, however, that don’t reflect how the language works at all and are simply passed down from generation to generation just because. It’s good to be familiar with them for the same reason it’s good to know arbitrary dress code customs, which is to say, because someone might judge you for not following them, but they have little to do with logic, clarity, the facts of English, or even being a good writer. Here are four grammar rules that aren’t really rules at all.

1. DON’T SPLIT INFINITIVES.

The rule against splitting infinitives says that nothing must come between a to and its verb. It is incorrect to boldly go. One must instead arrange to go boldly, or boldly to go. But this rule has no real justification. In fact, this rule was never mentioned in any treatises on English until an 1834 anonymous article proposed it, claiming that keeping the to and the verb next to each other is what good authors did. But plenty of good authors had in fact been splitting infinitives for hundreds of years, from John Wycliffe in the 14th century to Samuel Johnson in the 18th.

Though many writers thought this imaginary rule was unnecessary and even sometimes harmful to clarity (George Bernard Shaw said, “Every good literary craftsman splits his infinitives when the sense demands it”), it somehow made its way into a number of usage guides and stayed there. Read Tom Freeman's history of the rule here

2. DON’T END A SENTENCE WITH A PREPOSITION.

We are told not to end a sentence with a preposition. What is this rule for? I mean, for what is this rule? Wait, would anyone really use the second construction to ask this question? Ending a sentence with a preposition is completely natural in English and not at all wrong. The rule came about during the 17th century when scholars were deeply immersed in the study of Latin and took to emulating Latin as a model of linguistic purity. Because a preposition can’t be stranded in Latin, some thought that the same should hold for English. But English differs from Latin in countless ways, and to cling to a prohibition that forces you to swap It’s nothing to worry about for It’s nothing about which to worry does not encourage good style or clarity of expression. Don’t believe me? Ask Oxford Dictionaries.

But what about sentences like Where’s he at? or Do you want to come with? Should those be considered correct, then? No. Those are examples of non-standard grammar because they're used in non-standard dialects, not because they end with prepositions. At where is he? does not sound any better, and if the problem with come with is the ending preposition, why doesn’t come along sound just as bad? 

3. DON’T USE "THEY" AS A SINGULAR PRONOUN.

The rule says that because they is a plural pronoun, it must have a plural antecedent. This means that the sentence If anyone has a problem with that, they should tell me is wrong because anyone is singular and they is plural. They should be switched to a singular pronoun, but which one? “Generic he” was the prescription in the 19th century (If anyone has a problem with that, he should tell me), but as it became clear that he was neither generic nor neutral, the suggestion was to either use the cumbersome “he or she” (If anyone has a problem with that, he or she should tell me) or to rewrite the sentence entirely (Got a problem with that? Let me know).

Sticklers have been wringing their hands about how to reconcile this rule with guidelines for nonsexist language for decades now, but the solution has been right there all along. Just use singular they. The pronouns they/them/their have been used with singular antecedents for centuries. It’s perfectly good English. It sounds completely natural. Great writers like Shakespeare and Austen used it. Does anyone really think Everyone clapped his hands sounds better than Everyone clapped their hands?

Editors like John McIntyre of the Baltimore Sun have been letting the singular they through for a while now and most of the time no one notices. What we have in singular they, according to linguist Geoff Pullum, is “a logically impeccable construction that expert users of the language regularly employ and experienced listeners unhesitatingly accept. I wonder what more one would need to take something to be grammatical.” 

4. DON’T START A SENTENCE WITH "HOPEFULLY."

The ban on hopefully as a sentence adverb meant that you were only to use it to mean “in a hopeful manner.” So I waited hopefully was good, but Hopefully, the bus will get here soon was bad. Buses don’t do things in a hopeful manner! What you were supposed to say in that situation was It is hoped that the bus will get here soon.

Hopefully was being picked on rather unfairly. No one had a problem with fortunately/clearly/unbelievably/sadly/mercifully the bus will get here soon. There are plenty of other adverbs that can modify a whole sentence without causing a stir. Hopefully was singled out because it was new in the 60s, people noticed it, complained about it, and made up a reason to justify their complaints. It is still one of those gotcha words that attract the red pen, but even the AP Stylebook has given up trying to enforce the ban

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iStock // Ekaterina Minaeva
technology
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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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Stephen Missal
crime
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New Evidence Emerges in Norway’s Most Famous Unsolved Murder Case
May 22, 2017
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A 2016 sketch by a forensic artist of the Isdal Woman
Stephen Missal

For almost 50 years, Norwegian investigators have been baffled by the case of the “Isdal Woman,” whose burned corpse was found in a valley outside the city of Bergen in 1970. Most of her face and hair had been burned off and the labels in her clothes had been removed. The police investigation eventually led to a pair of suitcases stuffed with wigs and the discovery that the woman had stayed at numerous hotels around Norway under different aliases. Still, the police eventually ruled it a suicide.

Almost five decades later, the Norwegian public broadcaster NRK has launched a new investigation into the case, working with police to help track down her identity. And it is already yielding results. The BBC reports that forensic analysis of the woman’s teeth show that she was from a region along the French-German border.

In 1970, hikers discovered the Isdal Woman’s body, burned and lying on a remote slope surrounded by an umbrella, melted plastic bottles, what may have been a passport cover, and more. Her clothes and possessions were scraped clean of any kind of identifying marks or labels. Later, the police found that she left two suitcases at the Bergen train station, containing sunglasses with her fingerprints on the lenses, a hairbrush, a prescription bottle of eczema cream, several wigs, and glasses with clear lenses. Again, all labels and other identifying marks had been removed, even from the prescription cream. A notepad found inside was filled with handwritten letters that looked like a code. A shopping bag led police to a shoe store, where, finally, an employee remembered selling rubber boots just like the ones found on the woman’s body.

Eventually, the police discovered that she had stayed in different hotels all over the country under different names, which would have required passports under several different aliases. This strongly suggests that she was a spy. Though she was both burned alive and had a stomach full of undigested sleeping pills, the police eventually ruled the death a suicide, unable to track down any evidence that they could tie to her murder.

But some of the forensic data that can help solve her case still exists. The Isdal Woman’s jaw was preserved in a forensic archive, allowing researchers from the University of Canberra in Australia to use isotopic analysis to figure out where she came from, based on the chemical traces left on her teeth while she was growing up. It’s the first time this technique has been used in a Norwegian criminal investigation.

The isotopic analysis was so effective that the researchers can tell that she probably grew up in eastern or central Europe, then moved west toward France during her adolescence, possibly just before or during World War II. Previous studies of her handwriting have indicated that she learned to write in France or in another French-speaking country.

Narrowing down the woman’s origins to such a specific region could help find someone who knew her, or reports of missing women who matched her description. The case is still a long way from solved, but the search is now much narrower than it had been in the mystery's long history.

[h/t BBC]

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