Chomsky has been pursuing his simple method to generate the underlying structure of natural languages for several decades now. Gone are his social and political antenna, in his obsession for the minimalistic magic formula that will describe a natural language. Even Newton did not make his discovery alone, he was helped by the ideas of Copernicus, Galileo and enormous data generated by Kepler. Chomsky like Napoleon puts to sword all statistical analysis, modelling and scientific analysis. Chomsky claims that machine learning will bring us no clarity, only magical solutions. I am glad that the new generation of information theory scientists and computer scientists have started countering this Chomskian muddle that has been blocking linguistics from scientific progress.
The first and the most important retort has come from his own student, Luc Steels, who has been studying the development of language as part of social development of human society. Luc Steels has been studying the social environment that allows Robots to develop a communication system. He systematically showed, like children, how Robots can also develop some rudimentary aspects of natural language with some syntactic linguistic structures. He has been pursuing systematic framework known as “Fluid construction grammar” that allows certain fluidity of underlying structures [1,2].
Although it seems as if language originate directly from the brain of the speaker, historical materialism have taught us that the society that polices and supports individual’s utterances of the language plays an important role in its syntax and structures that it pursues. When an young Artic Turn born and bread in the Artic North Pole in Summer migrates in Artic winter to the Antartic South Pole, as the young one leads the pack, it would seem as if this young one has genetically transfigured geography of the earth, but in reality as the birds travel in V-formation, which is another co-operative pattern formation advantageous to the older ones at the back, the older ones from the back guide those industrious young ones that frequently fly in the wrong direction, only to be corrected by small “quack” from the back while at the same skewing the V-fromation to veer the young bird in the correct direction. Unlike the egoistic humans, the older birds would like to lead from the back, as it also requires less effort to fly. The same is true of human children as they keep looking at mother’s face for approval as they utter sentences, mimicking their mother, thus forming what we call “mother tongue”. The child’s mother has already been socially trained to be in compliance with society and its syntactic niceties. Under these circumstances, the magic of Chomskian muddle falls apart.
From the school of information science of Zellig Harris, Fernando Pereira , from AT&T Labs, fired the next slavo at Chomsky. He showed how the recent developments in machine learning have managed to circumvent the criticism of Chomsky. Chomsky claimed that machine learning cannot distinguish between “Colorless green ideas sleep furiously” and “Furiously sleep ideas green colorless” as both don’t exist in the training set. Overfitting is some thing that has been avoided with care in modern approaches to machine learning, so these criticisms don’t apply any more. Using hidden variables that associate bag of words he was able to show that the first Chomskian sentence is 105 times more likely than the first.
Peter Norvig  has written a comprehensive blog refuting many dogmatic statements made by Chomsky regarding modern computer science and information theory approaches to linguistics and its philosophical aspects regarding development of science in general.
 Steels, Luc, Modeling the cultural evolution of language, Physics of Life Reviews 8 (2011) 339–356
 Pereira, Fernando. Formal grammar and information theory: together again? Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences 358.1769 (2000): 1239-1253.
 Norvig, Peter, On Chomsky and the Two Cultures of Statistical Learning, http://norvig.com/chomsky.html