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That's not the "whole point of the article".

The "approaches" are academic in origin; the difference is that Google has more data to train those approaches. Their "approaches" are not different from "existing academic initiatives." Academia often deals with issues like "how to deal with sparsity" of data (i.e. smoothing); at Google, those issues are less important. Having data doesn't not mean having developed the technology.



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