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Computing the prefix of an automaton

Authors: Béal, Marie-Pierre; Carton, Olivier;

Computing the prefix of an automaton

Abstract

Summary: We present an algorithm for computing the prefix of an automaton. Automata considered are non-deterministic, labeled on words, and can have \(\varepsilon\)-transitions. The prefix automaton of an automaton \({\mathcal A}\) has the following characteristic properties. It has the same graph as \({\mathcal A}\). Each accepting path has the same label as in \({\mathcal A}\). For each state \(q\), the longest common prefix of the labels of all paths going from \(q\) to an initial or final state is empty. The interest of the computation of the prefix of an automaton is that it is the first step of the minimization of sequential transducers. The algorithm that we describe has the same worst case time complexity as another algorithm due to Mohri but our algorithm allows automata that have empty labeled cycles. If we denote by \(P(q)\) the longest common prefix of labels of paths going from \(q\) to an initial or final state, it operates in time \(O((P+ 1)\times|E|)\) where \(P\) is the maximal length of all \(P(q)\).

Country
France
Keywords

prefix of an automaton, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Formal languages and automata

  • BIP!
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
Green
bronze