Results 11 to 20 of about 8,860,193 (293)
LPG–PCFG: An Improved Probabilistic Context- Free Grammar to Hit Low-Probability Passwords [PDF]
Sensors, 2022 With the development of the Internet, information security has attracted more attention. Identity authentication based on password authentication is the first line of defense; however, the password-generation model is widely used in offline password ...
Xiaozhou Guo +4 more
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Split-Based Algorithm for Weighted Context-Free Grammar Induction
Applied Sciences, 2021 The split-based method in a weighted context-free grammar (WCFG) induction was formalised and verified on a comprehensive set of context-free languages. WCFG is learned using a novel grammatical inference method. The proposed method learns WCFG from both
Mateusz Gabor +2 more
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Grammar Compression with Probabilistic Context-Free Grammar [PDF]
2020 Data Compression Conference (DCC), 2020 We propose a new approach for universal lossless text compression, based on grammar compression. In the literature, a target string $T$ has been compressed as a context-free grammar $G$ in Chomsky normal form satisfying $L(G) = \{T\}$. Such a grammar is often called a \emph{straight-line program} (SLP).
Naoki Kobayashi +2 more
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Implicit learning of recursive context-free grammars.
PLoS ONE, 2012 Context-free grammars are fundamental for the description of linguistic syntax. However, most artificial grammar learning experiments have explored learning of simpler finite-state grammars, while studies exploring context-free grammars have not assessed
Martin Rohrmeier +2 more
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A stochastic context free grammar based framework for analysis of protein sequences [PDF]
BMC Bioinformatics, 2009 Background In the last decade, there have been many applications of formal language theory in bioinformatics such as RNA structure prediction and detection of patterns in DNA.
Nebel Jean-Christophe, Dyrka Witold
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Translations on a context free grammar [PDF]
Information and Control, 1969 Two schemes for the specification of translations on a context-free grammar are proposed. The first scheme, called a generalized syntax directed translation (GSDT), consists of a context free grammar with a set of semantic rules associated with each production of the grammar.
Alfred V. Aho, Jeffrey D. Ullman
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MolGramTreeNet: A multimodal molecular property prediction model via grammar tree-constrained molecular representation [PDF]
iScienceSummary: Molecular property prediction is pivotal for drug discovery. However, existing methods that rely on linear SMILES or 2D graphs often overlook explicit hierarchical structures and chemical grammar constraints.
Yekang Zhang +7 more
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A universal context-free grammar [PDF]
Information and Control, 1975 In this report we show that, for each alphabet Σ, there exists a context-free grammar G which satisfies the property that for each context-free language L ⊆ Σ* a regular control set C can be found such that LC(G) = L.
Kasai, Takumi
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Learning of Structurally Unambiguous Probabilistic Grammars [PDF]
Logical Methods in Computer Science, 2023 The problem of identifying a probabilistic context free grammar has two aspects: the first is determining the grammar's topology (the rules of the grammar) and the second is estimating probabilistic weights for each rule.
Dana Fisman +2 more
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Learning Cover Context-Free Grammars from Structural Data [PDF]
Scientific Annals of Computer Science, 2014 We consider the problem of learning an unknown context-free gram- mar from its structural descriptions with depth at most ℓ. The structural descriptions of the context-free grammar are its unlabelled derivation trees. The goal is to learn a cover context-
M. Marin, G. Istrate
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