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, ...

Teaching machines to truly understand natural language has been one of the biggest challenges facing computer scientists working to advance artificial intelligence. But Google has made real progress ...

Google wants language translation to sound more natural. Last year, it began moving away from phrase-based machine translation and created an AI-powered system called Google Neural Machine Translation ...

The new system can translate whole sentences at a time, rather than just phrases. I’m the deputy managing editor of the hardware team at PCMag.com. Reading this during the day? Then you've caught me ...

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 ...

SDL today announced the inclusion of its Neural Machine Translation (NMT) technology in the Enterprise Translation Server (SDL ETS), its machine translation platform. The NMT technology aims to help ...

Translating from one language to another is hard, and creating a system that does it automatically is a major challenge, partly because there are just so many words, phrases and rules to deal with.

Google has announced a neural machine translation (NMT) system that it says will reduce translation errors across its Google Translate service by between 55 percent and 85 percent, calling the ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Google today said that it’s improving ...

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 ...