Dialog-context dependent language modeling combining n-grams and stochastic context-free grammars

Context Free ◽

Combination of n-grams and Stochastic Context-Free Grammars for language modeling

Proceedings of the 18th conference on Computational linguistics - ◽

10.3115/990820.990829 ◽

2000 ◽

Cited By ~ 4

Author(s):

José-Miguel Benedi ◽

Joan-Andreu Sánchez

Keyword(s):

Language Modeling ◽

Context Free ◽

Language modeling using stochastic context-free grammars

Speech Communication ◽

10.1016/0167-6393(93)90068-v ◽

1993 ◽

Vol 13 (1-2) ◽

pp. 163-170

Author(s):

A. Corazza ◽

R. De Mori ◽

R. Gretter ◽

G. Satta

Keyword(s):

Language Modeling ◽

Context Free ◽

Advances in Structural and Syntactical Pattern Recognition - Lecture Notes in Computer Science ◽

Comparison between the Inside-Outside algorithm and the Viterbi algorithm for stochastic context-free grammars

10.1007/3-540-61577-6_6 ◽

1996 ◽

pp. 50-59 ◽

Cited By ~ 5

Author(s):

Joan-Andreu Sánchez ◽

José-Miguel Benedí ◽

Francisco Casacuberta

Keyword(s):

Viterbi Algorithm ◽

Context Free ◽

Language and Automata Theory and Applications - Lecture Notes in Computer Science ◽

Extending Stochastic Context-Free Grammars for an Application in Bioinformatics

10.1007/978-3-642-13089-2_49 ◽

2010 ◽

pp. 585-595 ◽

Cited By ~ 2

Author(s):

Frank Weinberg ◽

Markus E. Nebel

Keyword(s):

Context Free ◽

Corpus based learning of stochastic, context-free grammars combined with Hidden Markov Models for tRNA modelling

International Journal of Bioinformatics Research and Applications ◽

10.1504/ijbra.2006.007908 ◽

2006 ◽

Vol 1 (3) ◽

pp. 305

Author(s):

Juan Miguel Garcia-Gomez ◽

Jose Miguel Benedi ◽

Javier Vicente ◽

Montserrat Robles

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Context Free ◽

Applications of stochastic context-free grammars using the Inside-Outside algorithm

Computer Speech & Language ◽

10.1016/0885-2308(91)90009-f ◽

1991 ◽

Vol 5 (3) ◽

pp. 237-257 ◽

Cited By ~ 43

Author(s):

K. Lari ◽

S.J. Young

Keyword(s):

Context Free ◽

Structure detection and segmentation of documents using 2D stochastic context-free grammars

Neurocomputing ◽

10.1016/j.neucom.2014.08.076 ◽

2015 ◽

Vol 150 ◽

pp. 147-154 ◽

Cited By ~ 5

Author(s):

Francisco Álvaro ◽

Francisco Cruz ◽

Joan-Andreu Sánchez ◽

Oriol Ramos Terrades ◽

José-Miguel Benedí

Keyword(s):

Structure Detection ◽

Context Free ◽

Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences HICSS-94 ◽

Stochastic context-free grammars for modeling RNA

10.1109/hicss.1994.323568 ◽

1994 ◽

Cited By ~ 20

Author(s):

Sakakibara ◽

Brown ◽

Underwood ◽

Mian ◽

Haussler

Keyword(s):

Context Free ◽

Polynomial time algorithms for multi-type branching processesand stochastic context-free grammars

Proceedings of the 44th symposium on Theory of Computing - STOC '12 ◽

10.1145/2213977.2214030 ◽

2012 ◽

Cited By ~ 9

Author(s):

Kousha Etessami ◽

Alistair Stewart ◽

Mihalis Yannakakis

Keyword(s):

Polynomial Time ◽

Polynomial Time Algorithms ◽

Context Free ◽

RNA secondary structure prediction using stochastic context-free grammars and evolutionary history

Bioinformatics ◽

10.1093/bioinformatics/15.6.446 ◽

1999 ◽

Vol 15 (6) ◽

pp. 446-454 ◽

Cited By ~ 204

Author(s):

B. Knudsen ◽

J. Hein

Keyword(s):

Secondary Structure ◽

Structure Prediction ◽

Rna Secondary Structure ◽

Evolutionary History ◽

Secondary Structure Prediction ◽

Rna Secondary Structure Prediction ◽

Context Free ◽