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Machine learning researchers aren't going to stop looking for ways to develop better translation algorithms, learned more effectively from the vast volume of data that already exists.

While I don't think diplomats and legislative drafters are going to be put out of a job by Google any time soon, the problem is that if research seems to be yielding diminishing returns management will often cut off funding, even though the algorithm might just be stuck on a local maximum.

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