Titlebook: ;

调色板

CEDE

挫败

Statistical estimation of Stochastic Context-Free Grammars using the Inside-Outside algorithm and ad for the estimation of the rule probabilities of Stochastic Context-Free Grammars with the same time complexity as the Inside-Outside algorithm. The transformation algorithm relates Stochastic Context-Free Grammars, whose characteristic grammar is proper and does not have single rules, to Stochastic Context-Free Grammars in Chomsky Normal Form

GOUGE

bleach

Learning stochastic regular grammars by means of a state merging method,obabilities of the strings in the language. The algorithm builds the prefix tree acceptor from the sample set and merges systematically equivalent states. Experimentally, it proves very fast and the time needed grows only linearly with the size of the sample set.

Blatant

Credence

Grammatical Inference and Applications978-3-540-48985-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

宽敞

处理

深渊