Google’s system solves this problem in a way that is surprisingly intuitive for a machine. Because of this, Google Translate is naturally trained to understand translations between more common languages, leaving others in the dust. This is partly from the fact that the demand for translations differs for the different languages, so while the system might be frequently tasked with translating English to Spanish, it likely does not receive the same number of requests for Maori to Latin. Initially, the team explained, GNMT worked well with the languages on which is was first tested, but scaling it to the full 103 languages supported by Google Translate proved more difficult. The biggest change to Google Translate came back in September, when Google announced that it would be shifting to a new system called Google Neural Machine Translation, which takes advantage of neural networks to correlate words and phrases of one language with another. With neural networks reforming many fields, we were convinced we could raise the translation quality further, but doing so would mean rethinking the technology behind Google Translate.” “To make this possible, we needed to build and maintain many different systems in order to translate between any two languages, incurring significant computational cost. “In the last 10 years, Google Translate has grown from supporting just a few languages to 103, translating over 140 billion words every day,” the Google team said.

Google revealed the details of its progress with Google Translate in a blog post written by Mike Schuster and Nikhil Thorat of the Google Brain Team, as well as Melvin Johnson of Google Translate.

Now, according to a new post on the Google Research Blog, Google Translate has become so smart that it is starting to come up with its own translations without being taught. Thanks to the recent boom in machine learning research, Google Inc.’s translation service could soon become the universal translator we’ve always wanted.

In its early days, Google Translate wasn’t exactly perfect, but over the years, it has gotten smarter and smarter at translating text.

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