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

It began providing neural machine translation for nine languages, promising more to come, and now a few months later, it’s made good on that promise.

Google’s online translations have been powered by neural machine translation (NMT) since 2016, and today the company is rolling out its neural net-driven approach to more accurate, natural ...

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.

Lingua Marina discusses the possibility of language learning becoming obsolete due to the rise of AI neural networks that can ...

The second is to train a machine learning system based on known examples of spelling-pronunciation pairs and hope that it generalizes well and can pronounce previouslyunseen words. In this work, I ...

This has been made possible by the switch to neural machine translation – sometimes known as deep learning – adopted by the most advanced machine translation tools.

Systran launches neural machine translation engine in 30 languages Language barriers represent one of the biggest challenges to develop business strategies among global markets.

Most studies find that neural machine-translation models can translate only about 30 percent of novel excerpts—usually simple passages—with acceptable quality, as determined by native speakers.

But that’s changing today. Google is now rolling out offline Neural Machine Translation (NMT) support for 59 languages in the Translate apps.