Results 21 to 30 of about 17,181 (262)

Implicit learning of recursive context-free grammars.

open access: yesPLoS 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
doaj   +1 more source

Complexity of Problems of Commutative Grammars [PDF]

open access: yesLogical Methods in Computer Science, 2015
We consider commutative regular and context-free grammars, or, in other words, Parikh images of regular and context-free languages. By using linear algebra and a branching analog of the classic Euler theorem, we show that, under an assumption that the ...
Eryk Kopczynski
doaj   +1 more source

Fatgraph models of RNA structure

open access: yesComputational and Mathematical Biophysics, 2017
In this review paper we discuss fatgraphs as a conceptual framework for RNA structures. We discuss various notions of coarse-grained RNA structures and relate them to fatgraphs.We motivate and discuss the main intuition behind the fatgraph model and ...
Huang Fenix   +2 more
doaj   +1 more source

Consistent Unsupervised Estimators for Anchored PCFGs

open access: yesTransactions of the Association for Computational Linguistics, 2020
Learning probabilistic context-free grammars (PCFGs) from strings is a classic problem in computational linguistics since Horning ( 1969 ). Here we present an algorithm based on distributional learning that is a consistent estimator for a large class of ...
Clark, Alexander, Fijalkow, Nathanaël
doaj   +1 more source

On the Order Type of Scattered Context-Free Orderings [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2019
We show that if a context-free grammar generates a language whose lexicographic ordering is well-ordered of type less than ω^2, then its order type is effectively computable.
Kitti Gelle, Szabolcs Iván
doaj   +1 more source

Superregular grammars do not provide additional explanatory power but allow for a compact analysis of animal song [PDF]

open access: yesRoyal Society Open Science, 2019
A pervasive belief with regard to the differences between human language and animal vocal sequences (song) is that they belong to different classes of computational complexity, with animal song belonging to regular languages, whereas human language is ...
T. Morita, H. Koda
doaj   +1 more source

The Triple-Pair Construction for Weighted ω-Pushdown Automata [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2017
Let S be a complete star-omega semiring and Sigma be an alphabet. For a weighted omega-pushdown automaton P with stateset 1...n, n greater or equal to 1, we show that there exists a mixed algebraic system over a complete semiring-semimodule pair ((S ...
Manfred Droste   +2 more
doaj   +1 more source

Inductive Synthesis of Cover-Grammars with the Help of Ant Colony Optimization

open access: yesFoundations of Computing and Decision Sciences, 2016
A cover-grammar of a finite language is a context-free grammar that accepts all words in the language and possibly other words that are longer than any word in the language.
Wieczorek Wojciech
doaj   +1 more source

On the Size Complexity of Non-Returning Context-Free PC Grammar Systems [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2009
Improving the previously known best bound, we show that any recursively enumerable language can be generated with a non-returning parallel communicating (PC) grammar system having six context-free components.
Erzsébet Csuhaj-Varjú, György Vaszil
doaj   +1 more source

An Online Algorithm for Lightweight Grammar-Based Compression

open access: yesAlgorithms, 2012
Grammar-based compression is a well-studied technique to construct a context-free grammar (CFG) deriving a given text uniquely. In this work, we propose an online algorithm for grammar-based compression.
Masayuki Takeda   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy