Published: Wed, June 13, 2018
Electronics | By Kelly Massey

Google Translate's offline accuracy will be improving soon, thanks to machine learning

Google Translate's offline accuracy will be improving soon, thanks to machine learning

Now the power of AI is coming to Google Translate, and that's going to make your offline experience significantly better. The end result should be offline translations that are more accurate and almost on par with the quality users expect when an internet connection is available. Those offline translations will now be much better than before via the NMT technology running on-device when the phone is offline.

Cattiau says said the team rebuilt Google Translate from the ground up within the past year and a half, which resulted in a "more ideal technology" than what they had build over the previous decade of Google Translate's existence.

As a result, translated sentences are easier to understand, while whole paragraphs and articles are "smoother".

Until today, Neural Machine Translation required an internet connection, with offline translation on mobile continuing to use the old phrase-based approach that broke sentences up into smaller parts and did not incorporate context or the broader meaning of what's being converted.

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Sometimes when you're traveling, it can be tough to come by data. In case you weren't already familiar, Google's online translations already make use of neural machine translation (NMT). Each downloaded language set takes up about 35 to 45MB of storage. If you've used online translations in the past, there'll be a banner on your home screen that'll direct you to where you can update your offline files.

The NMT update will be rolled out in 59 languages over the next few days, Google said.

In April, Microsoft also launched an update to its Translator app that gives users access to neural machine language translations when they're offline by downloading language packs.

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