Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google today is announcing that web and mobile versions of Google ...

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 ...

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 ...

Translation Studies has long been an interdisciplinary field that examines the processes, theories and cultural implications of rendering text from one language to another. With the advent of advanced ...

Do you want to get the latest gaming industry news straight to your inbox? Sign up for our daily and weekly newsletters here. Google’s online translations have been powered by neural machine ...

When Google Translate was released, in 2006, I was an eighth grader stumbling through introductory Spanish, and my teacher had little reason to worry about her students using it to cheat. It’s almost ...

Currently, when the Google Translate apps for iOS and Android has access to the internet, its translations are far superior to those it produces when it’s offline. That’s because the offline ...

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 ...

In its latest paper, the Facebook AI Research (FAIR) team dropped some impressive results for its implementation of a modified convolutional neural network for machine translation. Facebook says it ...

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, ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...