With more than 2 billion users, Facebook Inc. has to deal with dozens of different languages on its social network, which poses a bit of a barrier to the company’s new mission to “bring the world ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Facebook announced this morning that it had completed its move to neural machine translation — a complicated way of saying that Facebook is now using convolutional neural networks (CNNs) and recurrent ...

While most of us by now have had some experience of using machine translation, namely through Google’s easy-to-use Google Translate feature, this programme's widely criticised lack of accuracy in the ...

You may have missed the popping of champagne corks and the shower of ticker tape, but in recent months computational linguists have begun to claim that neural machine translation now matches the ...

Since launching in 2006, Google Translate has grown to over 500 million users worldwide, translating more than 100 billion words daily. In 2016, the tool supported 103 languages, with 92% of its users ...

Translating between human languages is something which artificial intelligence – specifically machine learning – has proven to be very competent at. So much so that the CEO of one of the world’s ...

Machine learning has made its way into nearly every industry, and game localization is no exception. Software providers claim that their machine translation products mark a new era in localization, ...

Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...