Tag Archives: predictive text

Best Intextions: Outside Sources

A couple of sites are chock full of hilarious auto-correct text mishaps like the one above from iPhuckups. Another, Damn You Auto Correct, launched a little after, takes contributions. Most come from iPhones. Freaking iPhones.

Enjoy.

Best Intextions: Downgrading the Comma

I recently got a software upgrade for my piece of shit phone from Verizon. The upgrade did nothing to address the irritating little problem that causes the phone to spontaneously shut off. It did, however, randomize all my photos and change, of all things, the order of operations in predictive text. Moreover, it dissed the comma, one of my top five favorite punctuation marks.

It’s not enough that I have to unwire the muscle memory that I’ve developed using T9 for years, I’m also dealing with the conspicuous short-shrifting of the trusty comma. Once just a single “Next” press after the default period, the comma is now a full five keystrokes down the line, after the @ sign,  question mark, exclamation point and hyphen, in that order.

The comma is oft unappreciated, but to be considered inferior to the @ sign and the hyphen? A second class citizen, just one step up from an ampersand? It’s a sad, sad state of affairs.

Commas make your text(s) more readable. And they make you look smarter. (Bonus!) This is a call to action, folks. Don’t forsake the comma. Keep ’em coming, please.

Now I’ll return to quietly seething. Thank you.

Best Intextions: I Had A Accident!

This morning my friend and I came up with a great plan for the day. (Sitting near one another, with our laptops.) I sent her a text message that I’d come over and pick up a few snacks on the way. She thought that idea was “Perf!” But her iPhone didn’t approve of her creative abbreviation and sent me a text that said simply:

Peed!

Today’s lesson? Getting too excited over text can leave an embarrassing smudge on your reputation.

Best Intextions: That’s Not My Name Edition

More strange and awkward misapprehensions from the world of text messaging. This time we take a look at some common misnomers…

Do you have a friend name Brian? I do. And when I text him my phone makes an ethnic assumption. I type 27426 and it gives me Asian. Well, I guess there  are probably way more Asians in the world than Brians.

If I want to write to or about my friend Andy, before I can get to his name my phone offers me Body. There’s something creepy about it that I’ve never been able to put my finger on. Speaking of body parts, when I check in on my little bro I get arm.

My buddy Robbie tells me that when he tries to write to a girl named Karen, by the time he punches in the “e” his phone assumes he’s writing Lard. Here’s hoping you don’t have a fat friend named Karen.

And nine times out of ten, when I try to write the name Kev it comes out Jew. It’s just a typo, but I got this mad jewy friend named Kevin and it cracks me up every time. Ha. Jew.

Best Intextions: A First Look

Long before Google Suggest and the Google Game your cell phone was trying to read your mind. Predictive Text, or T9, employs algorithms of spelling and common usage to help you skip all the button-pushing of old school 1-for-A, 2-for-B texting by suggesting words as you type. It creates a suggestion hierarchy — most likely candidates are listed first. For instance, hit 4-6-6-3 and your phone will suggest “good” followed by “home,” “gone,” “hood,” and so on.

Developers for the various manufacturers and carriers use different algorithms to predict what you want to say and the order in which words appear. Sometimes the sequence of suggestions makes you wonder what the hell they’re basing their math on.

Here’s a first look at some of the more entertaining and questionable predictive text suggestion progressions in a new series called “Best Intextions.”

Best Intextions: Howl it Know?

#1: Wolf
#2: Woke

Really, what are the chances more people are texting about wolves than about waking up?

Email  your favorite T9 text missteps to UnhappyMediator@gmail.com.