Literature DB >> 15244855

Patterns in syntactic dependency networks.

Ramon Ferrer I Cancho1, Ricard V Solé, Reinhard Köhler.   

Abstract

Many languages are spoken on Earth. Despite their diversity, many robust language universals are known to exist. All languages share syntax, i.e., the ability of combining words for forming sentences. The origin of such traits is an issue of open debate. By using recent developments from the statistical physics of complex networks, we show that different syntactic dependency networks (from Czech, German, and Romanian) share many nontrivial statistical patterns such as the small world phenomenon, scaling in the distribution of degrees, and disassortative mixing. Such previously unreported features of syntax organization are not a trivial consequence of the structure of sentences, but an emergent trait at the global scale.

Mesh:

Year:  2004        PMID: 15244855     DOI: 10.1103/PhysRevE.69.051915

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  22 in total

1.  The consequences of Zipf's law for syntax and symbolic reference.

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Review 3.  Local Patterns to Global Architectures: Influences of Network Topology on Human Learning.

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5.  Measuring the evolution of contemporary western popular music.

Authors:  Joan Serrà; Alvaro Corral; Marián Boguñá; Martín Haro; Josep Ll Arcos
Journal:  Sci Rep       Date:  2012-07-26       Impact factor: 4.379

6.  A Complex Network Approach to Stylometry.

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7.  A Complex Network Approach to Distributional Semantic Models.

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Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

8.  Joint perceptual decision-making: a case study in explanatory pluralism.

Authors:  Drew H Abney; Rick Dale; Jeff Yoshimi; Chris T Kello; Kristian Tylén; Riccardo Fusaroli
Journal:  Front Psychol       Date:  2014-04-23

9.  Probing the topological properties of complex networks modeling short written texts.

Authors:  Diego R Amancio
Journal:  PLoS One       Date:  2015-02-26       Impact factor: 3.240

10.  Probing the statistical properties of unknown texts: application to the Voynich Manuscript.

Authors:  Diego R Amancio; Eduardo G Altmann; Diego Rybski; Osvaldo N Oliveira; Luciano da F Costa
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

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