Though Google provides one of the most powerful AI assisted language translation, the company still believes they can make it better and are in fact working along the lines. Integrating machine ...

With advances in machine learning and neural machine translation marketers may be wondering if this technology is ready to drive marketing initiatives.

The Google Brain team, which focuses on many of the areas cited above, is working on software tuning to keep pushing the limits of GPU backed machine learning. Most recently, a group there has put ...

One Hour Translation CEO Ofer Shoshan told me that within one to three years, neural machine technology (NMT) translators will carry out more than 50% of the work handled by the $40 billion market.

In addition to transfer learning, the project will study multilingual machine translation, self-supervised machine translation and unsupervised machine translation.

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 ...

Google today is announcing that web and mobile versions of Google Translate are now using a new neural machine translation system for all translations from Chinese into English — and the app ...

Fortunately, neural networks eat big, complicated data sets for breakfast. Google has been working on a machine learning translation technique for years, and today is its official debut.

The shortcomings of natural language understanding can make or break your AI and neural machine learning strategy. Here's how to deal.