Neural Machine Translation Brings Huge Improvements to Google Translate

Google has announced huge improvements to Google Translates thanks to a new end-to-end learning system built on Neural Machine Translation. Previously, Google Translate used large-scale statistical machine translation, which uses statistical models to translate text. Now the Neural system translates whole sentences at a time, rather than just piece by piece.

Since it’s easier to understand each sentence, translated paragraphs and articles are a lot smoother and easier to read. And this is all possible because of end-to-end learning system built on Neural Machine Translation, which basically means that the system learns over time to create better, more natural translations.

Neural Machine Translation is available today for a total of eight languages to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish. These represent the native languages of around one-third of the world's population, covering more than 35% of all Google Translate queries.

"With this update, Google Translate is improving more in a single leap than we’ve seen in the last ten years combined. But this is just the beginning. While we’re starting with eight language pairs within Google Search the Google Translate app, and website; our goal is to eventually roll Neural Machine Translation out to all 103 languages and surfaces where you can access Google Translate."

Google has also announced that starting today Google Cloud Platform is making the system behind Neural Machine Translation available for all businesses through Google Cloud Translation API. You can learn more about it here.

You can download Google Translate from the App Store for free.


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