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Comparing phonological and orthographic networks: A multiplex analysis.

Pablo Lara-Martínez1, Bibiana Obregón-Quintana1, Cesar F Reyes-Manzano2

  • 1Facultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad de México, México.

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Summary
This summary is machine-generated.

This study explores natural language complexity using multiplex networks, revealing common organizational properties across 12 languages. Findings highlight similarities in orthographic and phonological word-level networks.

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Area of Science:

  • Computational linguistics
  • Network science
  • Quantitative linguistics

Background:

  • Natural language complexity is analyzed using multiplex networks at various scales.
  • Previous research has not extensively compared orthographic and phonological networks at the word level.

Purpose of the Study:

  • To investigate a multiplex word-level network comprising orthographic and phonological networks.
  • To compare structural properties and their combination in a multiplex configuration.
  • To evaluate network properties across diverse languages and corpus sizes.

Main Methods:

  • Construction of multiplex word-level networks based on orthographic and phonological distance similarity.
  • Systematic comparison of basic structural network properties.
  • Analysis of network robustness and information preservation across 12 languages and varying corpus sizes.

Main Results:

  • Preliminary findings suggest common organizational properties exist among natural languages.
  • Identified similarities and differences between orthographic and phonological network structures.
  • Demonstrated the preservation of network properties across linguistic families and corpus growth.

Conclusions:

  • Multiplex network analysis provides insights into the structural organization of natural language at the word level.
  • Orthographic and phonological networks exhibit shared and distinct characteristics.
  • The study contributes to understanding universal and language-specific features of linguistic networks.