The big idea behind machine translation is the understanding that words are related to each other in similar ways, regardless of the language involved. So the process begins by mapping out these ...

Building a universal translator. Earlier this week, roughly 50,000 Skype users woke up to a new way of communicating over the Web-based phone- and video-calling platform, a feature that could’ve ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

Neural machine translation. Recently, language translation took an enormous leap forward with the emergence of a new machine translation technology called Neural Machine Translation (NMT). The ...

Automated machine learning (autoML) is the process of applying tools to data to apply the machine learning process to a real-world problem. Applying machine learning to a new dataset is a ...

Any students using Google Translate to cheat on their Spanish homework can rejoice. The foreign-language translation tool is about to get a whole lot more accurate. Last week, Google launched an ...

First, Meta is developing No Language Left Behind, a translation system capable of learning "every language, even if there isn't a lot of text available to learn from," according to Zuckerberg.

The real issue with machine translation is not with its technology, but rather with the nature of language itself. Josh tells the waitress that her accent is charming and orders another cookie.

At just 35-45 MB, offline language sets don't take up much space, either. So with these new offline NMT-based translations, it's worth loading up before you take your next trip.

Machine Learning, a subset of artificial intelligence, involves the use of algorithms that enable computers to learn from and make predictions or decisions based on data. This field has applications ...