Language technology lovers have cause for celebration this week. Microsoft announced that its conversational speech recognition technology has actually surpassed parity with professional human transcribers. With a 5.1 percent error rate, it is a 12 percent leap in error reduction over just last year’s measurements, sets a new industry standard,[…]
In my article Is It Time to Kiss the Digital File Goodbye?, I cite the XLIFF OMOS (“XML Localization Interchange Fragment Format Object Model and Other Serializations”) initiative as an example in support of the assertion that a file-less future is achievable in the localization industry.
One thing is sure: your future language technology stack is going to be different from what you use today. But how? We got together our solutions architects (Erik Vogt and Jon Ritzdorf), a technology researcher (Jim Compton), and an international growth manager (Michael Stevens) to discuss just this. We’ll share the top six insights and[…]
If you caught my colleague Jon Ritzdorf’s webinar, What Blows Our Minds About the Latest Translation Tech, you may recall that one of the things Jon was excited about was the melding of TM (translation memory) & MT (machine translation) technologies, specifically in the forms of Predictive TM and Adaptive MT.
In my webinar, What Blows Our Minds About the Latest Translation Technology, I shared exciting developments in multilingual content management, localization business analytics, as well as developments in machine translation technology. In this post, I tackle the latest plug-and-play website localization tools.
If you’ve ever investigated or deployed Machine Translation (MT), you know that quality is often a moving target. Everyone has different expectations, and a common misconception is that raw MT can be publishable as human quality. Humans still have to get involved—post-editors—to bring the quality up to snuff. And you most often hear about light[…]
What's in store for the language industry? Can we really predict what lies ahead?
How does one forecast the future? Is it possible to plumb the depths of our language industry to predict what lies on the business seas ahead? What is clouding our crystal balls?
You may already be using chatbots but not know it. Have you ever sent a text message to get an instant bank balance or a weather report?
Me: OK, Google. Can you tell me how text-to-speech technology is being used today? Google: Sure. You’re listening to one example of it right now.