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

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.

Smartling, the enterprise translation solutions company, today announced a major product expansion for its Neural Machine Translation (NMT) Hub, makin ...

The advantages of neural machine translation (NMT) have been extensively validated for offline translation of several language pairs for different domains of spoken and written language. However, ...

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works.

Compared to traditional statistical machine translation (SMT), such as phrase-based machine translation (PBMT), neural machine translation (NMT) often sacrifices adequacy for the sake of fluency.

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

A resistor that works in a similar way to nerve cells in the body could be used to build neural networks for machine learning. Many large machine learning models rely on increasing amounts of ...

Neural networks are machine learning models consisting of interconnected nodes that process information to make decisions, while deep neural networks have multiple hidden layers that enable them ...