Artificial intelligence goes bilingual—without a dictionary

Originally shared by Ward Plunet

Artificial intelligence goes bilingual—without a dictionary

Automatic language translation has come a long way, thanks to neural networks—computer algorithms that take inspiration from the human brain. But training such networks requires an enormous amount of data: millions of sentence-by-sentence translations to demonstrate how a human would do it. Now, two new papers show that neural networks can learn to translate with no parallel texts—a surprising advance that could make documents in many languages more accessible. “Imagine that you give one person lots of Chinese books and lots of Arabic books—none of them overlapping—and the person has to learn to translate Chinese to Arabic. That seems impossible, right?” says the first author of one study, Mikel Artetxe, a computer scientist at the University of the Basque Country (UPV) in San Sebastiàn, Spain. “But we show that a computer can do that.”
http://www.sciencemag.org/news/2017/11/artificial-intelligence-goes-bilingual-without-dictionary

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