Tuesday, May 02, 2017
Translation Programs Have Suddenly Got WAY Better (Here’s Why)
The new system still makes mistakes, but these are now relatively rare, where once they were ubiquitous. It uses an artificial neural network, linking digital “neurons” in several layers, each one feeding its output to the next layer, in an approach that is loosely modelled on the human brain. Neural-translation systems, like the phrase-based systems before them, are first “trained” by huge volumes of text translated by humans. But the neural version takes each word, and uses the surrounding context to turn it into a kind of abstract digital representation. It then tries to find the closest matching representation in the target language, based on what it has learned before. Neural translation handles long sentences much better than previous versions did.
Turkey did not say why it chose to block Wikipedia, other than it had taken “an administrative measure” after “technical analysis and legal consideration … .” But the state-run Anadolu Agency quoted an official from the ministry of transport who said the government blocked the site because it was part of a “coordinated smear campaign.” The article went on to say a Wikipedia entry claimed Turkey was aligned with various terrorist organizations.