Emergence of order in random languages

De Giuli, Eric

arXiv.org Artificial Intelligence 

We consider languages generated by weighted context-free grammars. It is shown that the behavior of large texts is controlled by saddle-point equations for an appropriate generating function. We then consider ensembles of grammars, in particular the Random Language Model of [1]. This model is solved in the replicasymmetric ansatz, which is valid in the high-temperature, disordered phase. It is shown that in the phase in which languages carry information, the replica symmetry must be broken. Keywords: context-free grammar, language, replicas Note: The body is this work is as published in J. Phys.

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