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 ...

Paris, France based language solution provider Systran has launched its Neural Machine Translation engine. Its PNMT (Pure Neutral Machine Translation) gives organisations access to translation, close ...

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 ...

Last fall, Google introduced a new system for machine-assisted language translations, Google Neural Machine Translation system (GNMT), which takes advantage of deep neural networks to translate entire ...

Google is trying to make Google Translate more accurate by expanding the number of languages that are supported by its neural machine translation software. The software uses deep neural networks — ...

Languages are naturally phrase-based, so letting machines learn as many of those phrases and the subtleties behind the language as possible so that they could be applied to the translation was ...

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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, ...

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.

When an app claims to be powered by “artificial intelligence” it feels like you’re in the future. What does that really mean, though? We’re taking a look at what buzzwords like AI, machine learning, ...