Google Translate is used by more than 200 million people per month

Google Translate has an astounding 200 million users each month.

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Google has yet another bragging point that they've used a blog post to talk about: Google Translate is used by more than 200 million people per month. What some more number stats? Break this number down, and Google translates the equivalent to as much text you'd find in 1 million books. Wow.

Google Translate is used by more than 200 million people per month | TweakTown.com

Franz Och, a research scientist with Google Translate discusses how Google's translation service has grown through the years. Back in 2001, Gogole offered a service that could translate eight different languages to and from English. This service used state-of-the-art commercial machine translation (MT) and whilst it worked, it wasn't efficient, or very effective.

The service didn't really go well, and in 2003 Google decided to make some changes, one of these key steps was hiring Och away from his research position at DARPA. The team was then able to use Google's massive computing infrastructure, and got some very strong results, but it still wasn't quick enough for practical use. It took Google 40 hours and 1,000 computers to translate 1,000 sentences.

The team still kept at it, and optimized the system within a year. By this time, the service could translate a full sentence every second. The MT approach was then unveiled in April 2006, and within the past six years, the translation division has worked on quality and language coverage. Users can now translate 64 different languages through translate.google.com or via mobile apps, and Chrome.

Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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