A Bayesian Estimation As both the Bayesian and the Good-Turing estimators are general techniques applicable to any discrete distribution, a more general estimation problem is considered here: given a population V (0)

by IT-37 Theory
Venue:v1, . . . , vk} and a sample S = s1, . . . , sn of
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Language Modeling for Efficient Beam-Search

by Marcello Federico, Mauro Cettolo, Fabio Brugnara, Giuliano Antoniol - Computer Speech and Language , 1995
"... This paper considers the problems of estimating bigram language models and of efficiently representing them by a finite state network, which can be employed by an hidden Markov model based, beam-search, continuous speech recognizer. ..."
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This paper considers the problems of estimating bigram language models and of efficiently representing them by a finite state network, which can be employed by an hidden Markov model based, beam-search, continuous speech recognizer.