Artificial intelligence-powered translation is becoming an increasingly crowded category, with Google, Microsoft, Amazon and Facebook all working on their own services. But tech still isn’t a match ...

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 ...

Johns Hopkins’ Center for Speech and Language Processing was among the research centers that helped develop translation and voice tools that have been finding wider use in commercial products in ...

The Army's Machine Foreign Language Translation System (MFLTS) punches through that barrier by providing language translation capabilities to individual Soldiers. Traditionally, an Army linguist, ...

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 entire ...

The Department of Justice recently issued guidance encouraging federal agencies to use “artificial intelligence and machine translation to communicate with individuals who are limited English ...

On March 17, 2026, Meta introduced Omnilingual Machine Translation (OMT), a suite of models, datasets, and evaluation tools that extends AI translation support to over 1,600 languages — a significant ...

The best guess is that humans currently speak about 6,900 different languages. More than half the global population communicates using just a handful of them—Chinese, English, Hindi, Spanish, and ...

For language translation tasks, traditional machine translation systems like Google Translate and those based on Statistical Machine Translation (SMT) or Neural Machine Translation (NMT) have been ...