The bad news for some translators is that a stream of repeatable, easy work is being turned off. But there will still be a place for humans with specialist knowledge
Save time by listening to our audio articles as you multitaskBut the prose is only slightly odd. The software has turned the original “may” into “can”, which made the first sentence sound a little off. In the second, the original “has written” became “a écrit” in French, which was then translated as “wrote” in English—accurately, but with a small change in emphasis.
, sour black-eyed peas with snails becomes “acid fry cowpea screw meat”. The joke cuts both ways: Westerners sometimes botch the Chinese characters in their tattoos. has got a lot better in the past five years or so. The biggest source of improvement has been the deployment of “deep learning” in training such systems, which are meant to mimic the action of a brain’s neurons.for business purposes has also come about through a proliferation of clever companies solving individual tasks.
That technology has upended translation is well-known. Many translators have been silently relying on computers for years. What is newer is the willingness of translation firms, and individual translators, to be out and proud about using, not as a crutch but as a means to cut costs and turnaround times. Part of the job becomes knowing what can be automated and what cannot. Invoices and instruction manuals can be left to.
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