On Probabilistic Context-Free Grammars that Achieve Capacity

Probabilistic grammars acting as information sources are considered and concepts from information theory defined by other authors are partly redefined. A specific probability assignment for maximizing the rate of a language source is found. Further, the problem of coding a language source is treated.