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Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/1658
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Title: Computation of distances for regular and context-free probabilistic languages
Authors: Nederhof, Mark Jan
Satta, Giorgio
Keywords: Probabilistic context-free languages
Probabilistic finite automata
Probabilistic language distances
Language entropy
Kullback-Leibler divergence
Relative entropy
Models
QA75 Electronic computers. Computer science
Issue Date: 1-May-2008
Citation: 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 .
Abstract: 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.
Version: Postprint
Status: Peer reviewed
URI: http://hdl.handle.net/10023/1658
DOI: http://dx.doi.org/10.1016/j.tcs.2008.01.010
ISSN: 0304-3975
Type: Journal article
Rights: This is an author version of an article published in Theoretical Computer Science 395 (2008), available at http://www.sciencedirect.com
Appears in Collections:University of St Andrews Research
Computer Science Research



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