Tag Archives: Caribbean
February 29, 2012
… skills, recently put to the test – with mediocre results – while exploring a notorious Caribbean island.)
A brilliant user interface
At first glance, Duolingo is clean, friendly and sleek. There is no hint of the annoying and unintentionally funny user interface associated with reCAPTCHA.
To begin with, the platform gave me a quick tour, introducing really basic concepts and allowing me to try my hand at translating simple sentences. At any time I could hover on each …
Tags: Caribbean crowd crowdsourcing Duolingo Google Books Luis von Ahn microtask microwork new york times reCAPTCHA TED translationCaribbean, crowd, crowdsourcing, Duolingo, Google Books, Luis von Ahn, microtask, microwork, new york times, reCAPTCHA, TED, translation | 2 Comments
May 30, 2012
… In 2012! This is no excuse, by the way, Johnny Depp. Please do not make any more Pirates of the Caribbean movies.)
Of course, if you’re into global hide and seek challenges, the TAG Challenge is not the only game in town (“phew!” I hear you say). There is also Geocaching, in which participants try to find hidden items using teamwork, GPS and mobile phones. But, like crowdsourcing, this game works a lot better when the object of your search leaves itself open to being found. If I …
February 6, 2012
With its beautiful crumbling buildings and vintage motor cars, spicy culture and rich history, few countries excite the imagination like Cuba.
Over the Christmas break I visited this tiny island that occupies such a large place in world culture and history. Explaining the country of Castro is probably impossible, but triumphant Socialism or the white sandy beaches of …
Tags: Brazil Caribbean crowd crowdsourcing Cuba Cuban Fidel Castro Havana microwork United States VaraderoBrazil, Caribbean, crowd, crowdsourcing, Cuba, Cuban, Fidel Castro, Havana, microwork, United States, Varadero | Leave a comment
August 1, 2011
… his Twitter-prediction method to a London hedge fund (and so will presumably be retiring to a Caribbean island very soon).
So far, Twitter experimenters have relied on relatively simple language-processing software to extract data from tweets. To get deeper insights, you need to do deeper analysis. The trouble is that human language is notoriously difficult for machines to interpret. Give humans 140 characters and we insist on making jokes, using sarcasm, and loading …