In a study carried out in part by the UCLA Medical Center, they found that “overall, GT accurately conveyed the meaning of 330/400 (82.5%) instructions examined but the accuracy varied by language from 55 to 94%.” So how accurately does GT translate content? You want to know how it can work for you. Here’s everything you need to know about GT, and when it’s worth considering for your business. Even if machine translation isn’t yet perfect, it can already help humans translate much faster. Between the media hype and exaggerated claims, sometimes it’s hard to distinguish when machine translation will actually be good enough for most use cases.īut in the past five years, we’ve seen neural machine translation engines like Google Translate (GT) really take off.
In just one year, Subway saw an over 1,000% return on their investment.
Savings based on four languages: $172,372 (or 44%) and at least 2 months of time. When the idea to use machine translation for Subway’s content surfaced, their Globalization Services Manager, Carrie Fischer, said: “There’s no way this is going to work for Subway’s content.”Ī little later, she chose to give it a go.
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