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PAMI
2006
109views more  PAMI 2006»
13 years 4 months ago
Offline Grammar-Based Recognition of Handwritten Sentences
This paper proposes a sequential coupling of a Hidden Markov Model (HMM) recognizer for offline handwritten English sentences with a probabilistic bottom-up chart parser using Sto...
Matthias Zimmermann, Jean-Cédric Chappelier...
IJBRA
2006
111views more  IJBRA 2006»
13 years 4 months ago
Memory efficient alignment between RNA sequences and stochastic grammar models of pseudoknots
: Stochastic Context-Free Grammars (SCFG) has been shown to be effective in modelling RNA secondary structure for searches. Our previous work (Cai et al., 2003) in Stochastic Paral...
Yinglei Song, Chunmei Liu, Russell L. Malmberg, Co...
EACL
1993
ACL Anthology
13 years 5 months ago
Parsing the Wall Street Journal with the Inside-Outside Algorithm
We report grammar inference experiments on partially parsed sentences taken from the Wall Street Journal corpus using the inside-outside algorithm for stochastic context-free gram...
Yves Schabes, Michal Roth, Randy Osborne
ACL
1994
13 years 5 months ago
Precise N-Gram Probabilities from Stochastic Context-Free Grammars
We present an algorithm for computing n-gram probabilities from stochastic context-free grammars, a procedure that can alleviate some of the standard problems associated with n-gr...
Andreas Stolcke, Jonathan Segal
TAPD
1998
81views more  TAPD 1998»
13 years 5 months ago
A Generalized CYK Algorithm for Parsing Stochastic CFG
We present a bottom-up parsing algorithm for stochastic context-free grammars that is able (1) to deal with multiple interpretations of sentences containing compoundwords; (2) to ...
Jean-Cédric Chappelier, Martin Rajman
ICDT
2010
ACM
147views Database» more  ICDT 2010»
13 years 8 months ago
Querying Parse Trees of Stochastic Context-Free Grammars
Stochastic context-free grammars (SCFGs) have long been recognized as useful for a large variety of tasks including natural language processing, morphological parsing, speech reco...
Sara Cohen, Benny Kimelfeld
ICGI
1994
Springer
13 years 8 months ago
Inducing Probabilistic Grammars by Bayesian Model Merging
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
Andreas Stolcke, Stephen M. Omohundro
ECML
2003
Springer
13 years 9 months ago
A Hybrid Language Model based on Stochastic Context-free Grammars
Abstract. This paper explores the use of initial Stochastic Context-Free Grammars (SCFG) obtained from a treebank corpus for the learning of SCFG by means of estimation algorithms....
Diego Linares, José-Miguel Benedí, J...
LATA
2010
Springer
13 years 11 months ago
Extending Stochastic Context-Free Grammars for an Application in Bioinformatics
We extend stochastic context-free grammars such that the probability of applying a production can depend on the length of the subword that is generated from the application and sho...
Frank Weinberg, Markus E. Nebel
STOC
2007
ACM
132views Algorithms» more  STOC 2007»
14 years 4 months ago
On the convergence of Newton's method for monotone systems of polynomial equations
Monotone systems of polynomial equations (MSPEs) are systems of fixed-point equations X1 = f1(X1, . . . , Xn), . . . , Xn = fn(X1, . . . , Xn) where each fi is a polynomial with p...
Stefan Kiefer, Michael Luttenberger, Javier Esparz...