Issue |
RAIRO-Theor. Inf. Appl.
Volume 45, Number 1, January-March 2011
ICTCS 09
|
|
---|---|---|
Page(s) | 77 - 97 | |
DOI | https://doi.org/10.1051/ita/2011012 | |
Published online | 15 March 2011 |
Consensual languages and matching finite-state computations
Dipartimento di Elettronica e Informazione,
Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy; {crespi;sanpietro}@elet.polimi.it
Received:
24
December
2009
Accepted:
18
November
2010
An ever present, common sense idea in language modelling research is that, for a word to be a valid phrase, it should comply with multiple constraints at once. A new language definition model is studied, based on agreement or consensus between similar strings. Considering a regular set of strings over a bipartite alphabet made by pairs of unmarked/marked symbols, a match relation is introduced, in order to specify when such strings agree. Then a regular set over the bipartite alphabet can be interpreted as specifying another language over the unmarked alphabet, called the consensual language. A word is in the consensual language if a set of corresponding matching strings is in the original language. The family thus defined includes the regular languages and also interesting non-semilinear ones. The word problem can be solved in NLOGSPACE, hence in P time. The emptiness problem is undecidable. Closure properties are proved for intersection with regular sets and inverse alphabetical homomorphism. Several conditions for a consensual definition to yield a regular language are presented, and it is shown that the size of a consensual specification of regular languages can be in a logarithmic ratio with respect to a DFA. The family is incomparable with context-free and tree-adjoining grammar families.
Mathematics Subject Classification: 68Q45 / 68Q42 / 68Q19
Key words: Formal languages / finite automata / consensual languages / counter machines / polynomial time parsing / non-semilinear languages / Parikh mapping / descriptive complexity of regular languages / degree of grammaticality
© EDP Sciences, 2011
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