Computation of distances for regular and context-free probabilistic languages
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Several mathematical distances between probabilistic languages have been investigated in the literature, motivated by applications in language modeling, computational biology, syntactic pattern matching and machine learning. In most cases, only pairs of probabilistic regular languages were considered. In this paper we extend the previous results to pairs of languages generated by a probabilistic context-free grammar and a probabilistic finite automaton.
Nederhof , M J & Satta , G 2008 , ' Computation of distances for regular and context-free probabilistic languages ' , Theoretical Computer Science , vol. 395 , no. 2-3 , pp. 235-254 . https://doi.org/10.1016/j.tcs.2008.01.010
Theoretical Computer Science
This is an author version of an article published in Theoretical Computer Science 395 (2008), available at http://www.sciencedirect.com
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