New system may open up 7,000 spoken languages to computer-based translation.
Thursday, November 1, 2018 - 09:10
in Mathematics & Economics
MIT researchers have developed a novel “unsupervised” language translation model — meaning it runs without the need for human annotations and guidance — that could lead to faster, more efficient computer-based translations of far more languages. Translation systems from Google, Facebook, and Amazon require training models to look for patterns in millions of documents — such as […]