Google Translate had barely celebrated its 6th birthday that it reached 200 million monthly users, as Google announced earlier this week.
Franz Och, research scientist at Google Translate: ”In a given day we translate roughly as much text as you’d find in 1 million books. To put it another way: what all the professional human translators in the world produce in a year, our system translates in roughly a single day (…) We imagine a future where anyone in the world can consume and share any information, no matter what language it’s in, and no matter where it pops up.”
Wow. Imagine…What all the professional human translators in the world produce in a year, the Google Translate system translates in in one day.
Of course this is a simplistic view, and of course Google Translate can’t quite do what we do. The job of a professional, specialized translator goes beyond simply translating words and putting them in the right order to make a sentence out of it. Of course the machine does not have the background and the technical knowledge to translate a specific technical document. Of course the machine is not aware of specific terminology specified by the client. Of course the machine does not have the cultural knowledge allowing it to do much more than just translate, but adapt to the target audience/market. Of course. And of course – and this is a very important point – Google Translate is one thing, it’s great to translate “I love you into 64 languages”but there are many LSPs and companies who developed (and are developing) their very own machine translation solutions, completely customized to professional specialized translators, with stunning results.
As a translator from the “new generation”, I am not afraid of machine translation at all. CAT-Tools always belonged to my job, I did not know “the time before CAT”. So maybe this is why I see Machine Translation as the natural, normal, next step. I am also convinced that the machine will never replace the human brains when it comes to translation. But I am convinced that we will have to evolve, that the translator’s job will evolve – and that we’ may probably be “post-editors” rather than translators in a few years. Just like when CAT-Tools came and many translators saw them as a threat, as a personal insult, as a danger, Machine Translation is coming anyway, whether we like it or not – and my opinion is simple: MT is not a threat. MT is the next logical step. MT is a very powerful tool that can really help us do our job faster and better. So why not adapt and make it our best ally?
Bottom line: Machine Translation is coming – it’s actually already there – and it’s getting better and better. Exactly how long will half of the industry pretending it’s not happening?
Just my two cents.
Anyway, for those interested in knowing more about Google’s projects and plans for the future of Google Translate, here’s the blog post from Franz Och on the Google Team blog.
Breaking down the language barrier—six years in
“The rise of the web has brought the world’s collective knowledge to the fingertips of more than two billion people. With just a short query you can access a webpage on a server thousands of miles away in a different country, or read a note from someone halfway around the world. But what happens if it’s in Hindi or Afrikaans or Icelandic, and you speak only English—or vice versa?
In 2001, Google started providing a service that could translate eight languages to and from English. It used what was then state-of-the-art commercial machine translation (MT), but the translation quality wasn’t very good, and it didn’t improve much in those first few years. In 2003, a few Google engineers decided to ramp up the translation quality and tackle more languages. That’s when I got involved. I was working as a researcher on DARPA projects looking at a new approach to machine translation—learning from data—which held the promise of much better translation quality. I got a phone call from those Googlers who convinced me (I was skeptical!) that this data-driven approach might work at Google scale.” (Read more)
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