Some Links #7

Deconstructing Chomsky — Rewriting the innate rules of grammar. Andrew Caines over at the Naked Scientist has a good, layman’s article on Chomsky’s conception of UG and Dan Everett’s recent book Don’t Sleep, There Are Snakes: Life and Language in the Amazonian Jungle. It’s quite a good introduction for anyone who is open to the possibility that  psycholinguistics doesn’t end with Chomsky (or Pinker for that matter).

New developments in AI. An in-depth article on artificial intelligence over at .CSV. I’m only half-way through the article, but I thought it was worth mention as, the first half at least, is pretty good. H/T: Mind Hacks.

Many English Speakers cannot understand basic grammar. Apparently, “Research into grammar by academics at Northumbria University suggests that a significant proportion of native English speakers are unable to understand some basic sentences”. Language Log and John Hawks have both picked up on the story. Once the paper is released I’ll probably write an in-depth post at GNXP.

Birth Months of World Cup Players. A short, but interesting, post over at GNXP debunking the relevance of your birth month in regards to sporting achievement. I never thought there was any controversy over the issue… But it turns out I was wrong.

Mathematical Formula Predicts Clear Favorite for FIFA World Cup. Keeping with the football theme, and apparently this formula predicts a Spanish victory. The psychic Octopus appears to think so too. I disagree. Go Netherlands!

How many Zombies do you know? Applied Statistics links to yet another Zombie-inspired study.

Dr Evan Harris. Not a link to a particular article, but it’s just nice to see Dr Evan Harris back writing his blog after being defeated in the recent UK elections.

PepsiCo has been expelled. For those of you who don’t know what this headline’s about, don’t worry, it was all just a very bad dream.

There's definitely something wrong with your model when Serbia are finalists

I came across this rather amusing model for predicting football results using mostly economic data (click on image for full screen):

Now, we all know Brazil aren’t going to win the world cup, but most of us would’ve predicted they’d fare quite well, and possibly win it (my own failed prediction was with Argentina). What’s dubious about the algorithm their using is it predicted Serbia to be finalists! How the hell did they arrive at that conclusion? Well, to give you an indication they do discuss some of the factors included in the model. I’ll definitely be coming back to this when I’ve got a spare moment… They did, however, predict Germany would face, and subsequently knock out, England in the last 16.