By Carlos Martín-Vide

Proposing interdisciplinary learn on the vanguard of current advances in info applied sciences and their foundations, clinical functions of Language tools is a multi-author quantity containing items of labor (either unique learn or surveys) exemplifying the appliance of formal language instruments in different fields, together with good judgment and discrete arithmetic, common language processing, man made intelligence, traditional computing and bioinformatics.

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Additional info for Scientific Applications of Language Methods (Mathematics, Computing, Language, and Life: Frontiers in Mathematical Linguistics and Language Theory )

Example text

82. , are non-recursive. On the one hand, the method presented can serve as a powerful tool. Several known proofs are simplified. Some more or less new non-recursive trade-offs follow immediately by known undecidability results. 80 the crucial hard part is to find suitable descriptional systems S3 having the required properties. The example presented before considered linear context-free languages for which regularity is not semi-decidable. Another valuable descriptional system is the set of Turing machines for which only trivial problems are decidable and a lot of problems are not semi-decidable.

These problems have been suggested to be investigated in [22]. The results are all derived in [108]. 35. 27. For the lower bound, we argue as follows. 27. Moreover, for the 2NFA simulation by AFAs we can apply the same upper bound. Since in [22, 23] it has been shown that the witness languages for the fact that there is a unary NFA that causes the maximal blow-up when converted to a DFA are also accepted by n-state 2DFAs, the lower bound also applies for the 2DFA conversion. 36 (Unary 2FA to AFA conversion).

But for the grammar G = ({S}, {a}, {S → ag(1,{a})+1 }, S) the value length(G) exceeds g(|N |, T ). However, the number of nonterminals is an s-measure for context-free grammars in Chomsky normalform. In this case there are at most |N | different left-hand sides of productions, and at most |N |2 + |T | right-hand sides. So, there are at most |N |3 + |N | · |T | productions containing at most three nonterminal and terminal symbols, and we may choose g(|N |, T ) = k · (|N |3 + |N | · |T |), where k is a mapping that gives the precise length of a production depending on the actual encoding alphabet, the number of nonterminals and terminal symbols.

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