2005
DOI: 10.1109/tit.2005.850116
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The Smallest Grammar Problem

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Cited by 341 publications
(473 citation statements)
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“…A similar concept has been studied in the context of automata [3]. Although any n-state deterministic finite automaton for some finite language L can be converted into a corresponding minimal cover-automaton, using only O(n log n) time [17], the construction of a minimal covergrammar seems to be intractable, specially in view of the following facts: (1) there is no polynomial-time algorithm for obtaining the smallest context-free grammar that generates exactly one given word (unless P = NP) [4]; (2) context-free grammar equivalence and even equivalence between a context-free grammar and a regular expression are undecidable [15]; (3) for any alphabet of a size of at least 2, the class of context-free grammars is not polynomially characterizable [12]; (4) the grammar can be exponentially smaller than any word in the language (an example is given in a book [14]). To our best knowledge there are no published algorithms for a cover-grammar problem defined as above.…”
Section: Introductionmentioning
confidence: 99%
“…A similar concept has been studied in the context of automata [3]. Although any n-state deterministic finite automaton for some finite language L can be converted into a corresponding minimal cover-automaton, using only O(n log n) time [17], the construction of a minimal covergrammar seems to be intractable, specially in view of the following facts: (1) there is no polynomial-time algorithm for obtaining the smallest context-free grammar that generates exactly one given word (unless P = NP) [4]; (2) context-free grammar equivalence and even equivalence between a context-free grammar and a regular expression are undecidable [15]; (3) for any alphabet of a size of at least 2, the class of context-free grammars is not polynomially characterizable [12]; (4) the grammar can be exponentially smaller than any word in the language (an example is given in a book [14]). To our best knowledge there are no published algorithms for a cover-grammar problem defined as above.…”
Section: Introductionmentioning
confidence: 99%
“…Charikar et al [2] considered LZ78 as an approximation algorithm for the NP-hard problem of finding the smallest context-free grammar that generates only the string T.T h eLZ78 parsing of T can be viewed as a contextfree grammar in which for each dictionary word T i = T jt here is a production X i ! X j˛.…”
Section: Grammar Generationmentioning
confidence: 99%
“…, M k } be a Min-3-AC instance with opt Min-3-AC (M) = k + . Then Greedy outputs a circuit C Greedy for M of size at most min 4 3 · k + , 1 + 1 e 2 k + 2 .…”
Section: Algorithm "Greedy"mentioning
confidence: 99%
“…Note that the greedy algorithms proposed in Section 6.1 are closely related to the so-called global algorithms Re-Pair, Greedy, and Longest Match for the smallest grammar problem [4], which deals with the compression of a given string by a context-free grammar that generates exactly that string. Global algorithms are of particular interest for this problem since they are believed to have low approximation ratios.…”
Section: Generalizations and Related Problemsmentioning
confidence: 99%
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