Researchers at the University of Amsterdam are using neural networks to help a statistical machine translation systems learn what all human translators know—that the best translation of a word often ...

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.

Research at Facebook just made it easier to translate between languages without many translation examples. For example, from Urdu to English. Neural Machine Translation Neural Machine Translation (NMT ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More English, Arabic, and French dialects can be found on parts of the African ...

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 ...

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 ...

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 ...

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 ...

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, ...