This basically postulates that language learned is a process similar to a supervised machine learning algorithms, and this, perhaps, is a more realistic view that Chomsky has. The machinery has been evolved, but "the training data" is required to make it work.
Be careful of the trap: for quite a while now, each generation has simply treated it as "realistic" to match the brain's workings to that generation's popular new computational technique.
What's interesting is that Google's Translate, via neural network training, seems to have found an efficient structure underlying many languages: