The Google Neural Machine Translation system 'surpasses' the results of all other machine-translation solutions currently available, with GNMT now being used for Chinese-to-English translations.

Microsoft claims that its new model architecture, Z-code Mixture of Experts (MoE), improves language translation quality. Skip to main content Events Video Special Issues Jobs ...

A neural machine translation system for all the Romance languages of the Iberian Peninsula A project will apply neural machine translation to Spanish, Portuguese, Catalan, Galician, Asturian ...

Google Translate is getting brainier. The online translation tool recently started using a neural network to translate between some of its most popular languages – and the system is now so ...

This team has developed a machine-learning system capable of deciphering lost languages, and they’ve demonstrated it by having it decipher Linear B—the first time this has been done automatically.

A team of computer scientists at Johns Hopkins University has won a $10.7 million grant from the Office of the Director of National Intelligence to create an information retrieval and translation ...

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 ...

In some cases, Google says its GNMT system is even approaching human-level translation accuracy. That near-parity is restricted to transitions between related languages, like from English to ...

The Google Neural Machine Translation system, deployed today for Chinese-English queries, is a step up in complexity from existing methods. Here’s how things have evolved (in a nutshell).

Its new machine translation system trains for about a week on about 100 GPU cards, each equipped with a few hundred individual chips. Then the specialized chips execute the model. Google is unique ...