Results 31 to 40 of about 58 (54)
Hidden Markov Models and their Applications in Biological Sequence Analysis. [PDF]
Curr Genomics, 2009 Yoon BJ.
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A range of complex probabilistic models for RNA secondary structure prediction that includes the nearest-neighbor model and more. [PDF]
RNA, 2012 Rivas E, Lang R, Eddy SR.
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Efficient alignment of RNAs with pseudoknots using sequence alignment constraints.
EURASIP J Bioinform Syst Biol, 2009 Yoon BJ.
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2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2020
Parsing is a tool for understanding natural grammar patterns. The problem of structural ambiguity in identifying sentence patterns often occurs in parsing. Syntactic parsing is one approach to solving structural ambiguity problems using the Probabilistic Context-Free Grammar (PCFG) and Viterbi-Cocke Younger Kasami (Viterbi-CYK) methods.
Langlang Gumilar, Denis Eka Cahyani
exaly +2 more sources
Parsing is a tool for understanding natural grammar patterns. The problem of structural ambiguity in identifying sentence patterns often occurs in parsing. Syntactic parsing is one approach to solving structural ambiguity problems using the Probabilistic Context-Free Grammar (PCFG) and Viterbi-Cocke Younger Kasami (Viterbi-CYK) methods.
Langlang Gumilar, Denis Eka Cahyani
exaly +2 more sources
An improved version of the Cocke-Younger-Kasami algorithm
Computer Languages, Systems and Structures, 1978Glenn K Manacher
exaly
Certified CYK parsing of context-free languages
Journal of Logical and Algebraic Methods in Programming, 2014Tarmo Uustalu, Denis Firsov
exaly
Syntactical Parsing of Kannada Text Based on CYK Algorithm
Advances in Intelligent Systems and Computing, 2022exaly
Context-free parsing on O(n) processors
Computer Languages, Systems and Structures, 1992D B Skillicorn
exaly