The current major Machine Translation (MT) evaluation effort, funded by the Advanced Research Projects Agency (ARPA), shows that when compared to expert human translators, MT systems perform only ...

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 ...

The Machine Foreign Language Translation System (MFLTS) is a software application to meet the Army’s prioritized language translation requirements. MFLTS assists warfighters in communicating ...

One online translation service, Flitto, is now focused on providing other companies with the language data they need to train their machine translation programs.

The problem of a total absence of parallel data is present for a large number of language pairs and can severely detriment the quality of machine translation. We describe a language-independent method ...

Facebook AI is open sourcing M2M-100, a multilingual machine translation model (MMT) that can translate any pair of 100 languages without relying on English. The MMT is thought to be more accurate ...

Previously supporting 56 languages, the company’s adaptive machine translation technology, ModernMT, now supports 200 languages, setting a new benchmark in the industry.

But going beyond this to make machine translation as good as a multilingual person—especially for languages that do not have reams of available training data—will be a more daunting task.

Google is betting big on machine learning, and this translation tool, now live for web and mobile queries, is perhaps the company’s most public demonstration yet.

Machine translation of foreign languages has been good for a while. And yet human translators are still in demand. Why isn’t AI killing these jobs? And even if it isn’t, how is it reshaping them?

By 2005, the company’s program, which then supported eight languages, won a machine translation contest by using 1,000 computers to tackle 1,000 sentences in 40 hours.