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Stochastic context-free grammars (SCFGs) are used to fold, align and model a family of homolo- gous RNA sequences. SCFGs capture the sequences' common primary and secondary structure and gen- eralize the hidden Markov models (HMMs) used in related work on protein and DNA.
Stochastic context-free grammars (SCFGs) are used to fold, align and model a family of homologous RNA sequences. SCFGs capture the sequences' common primary and ...
Abstract. Rapid advancement in generation of sequence data and complex computational techniques have encouraged researchers to understand the structure, ...
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Feb 20, 2008 · Context-free grammars were originally conceived in an attempt to model natural languages, i.e. those normally spoken by humans. Some research ...
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• to recognize new tRNA genes, model known ones using stochastic context free grammars [Eddy & Durbin, 1994;. Sakakibara et al. 1994]. • but what is a grammar?
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A stochastic (or probabilistic) context-free grammar (SCFG) is a context-free grammar wherein each production is augmented with a probability. Derivation of a ...
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Abstract. Stochastic context-free grammars (SCFGs) are applied to the problems of folding, aligning and modeling families of tRNA sequences.
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Computational linguistics play an important role in modeling various applications. Stochastic context-free grammars (SCFGs), for instance, are widely used ...
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The IBM group have reported on its use for estimating the production rule probabilities of a context-free language model (Jelinek, 1985) and the RSRE Speech ...
May 23, 2024 · The random language model [Phys. Rev. Lett. 122, 128301 (2019)] is an ensemble of stochastic context-free grammars, quantifying the syntax of human and ...