Terminology translation plays a critical role in domain-specific machine translation (MT). Phrase-based statistical MT (PB-SMT) has been the dominant approach to MT for the past 30 years, both in ...

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.

Translating between morphologically rich languages is still challenging for current machine translation systems. In this paper, we experiment with various neural machine translation (NMT) ...

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

Explore five key AI terms like machine learning and neural networks, explained simply to help you understand and discuss AI confidently.

The discovery of tools key to machine learning wins the 2024 physics Nobel This year’s laureates did foundational work on artificial neural networks ...