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 ...

Google launched its neural machine translation system (GNMT) in late 2016 via its Google Cloud Translation API. It offers more accurate translation of a growing list of languages to and from English. ...

With advances in machine learning and neural machine translation marketers may be wondering if this technology is ready to drive marketing initiatives. When Google Translate first hit the market ...

Now, thanks to advances in artificial intelligence and machine translation, these barriers are being broken down. Written by Eileen Brown, Contributor Nov. 24, 2016, 5:49 a.m. PT ...

It beat Google’s neural network for machine translation. The algorithm by Google is now available to everyone using the Google Translate SDK, that supports 20 language pairs.

The Neural Machine Translation for the Languages of the Iberian Peninsula (TAN-IBE) project, funded by the Spanish Ministry of Science, Innovation and Universities, coordinated by the Universitat ...

So now, Google is “serving 35 percent of all translation requests using neural networks,” Turovsky said. Eventually, he said, Google will use the system for all 103 languages.

Additionally, SDL ETS includes customized Neural MT engines that can be adapted to customer data and domains, providing additional translation quality improvement." The SDL ETS platform, which can be ...

Neural machine translation has not always been optimal, but Google’s implementation has shown advantages in certain situations. Above: A comparison of translation models based on quality.

Machine translation systems such as Google Translate or those at iTranslate4.eu guess how to translate words and phrases based on how often they appear in a large corpus of human-translated texts.