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Ordinal analysis of lexical patterns.

David Sánchez1, Luciano Zunino2, Juan De Gregorio1

  • 1Institute for Cross-Disciplinary Physics and Complex Systems IFISC (UIB-CSIC), E-07122 Palma de Mallorca, Spain.

Chaos (Woodbury, N.Y.)
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Summary
This summary is machine-generated.

Analyzing word patterns across 11 languages reveals unique structural distributions based on syntactic rules. These patterns can identify a text's historical period and author, highlighting ordinal time series analysis in linguistics.

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Area of Science:

  • Computational Linguistics
  • Quantitative Linguistics
  • Digital Humanities

Background:

  • Words are core linguistic units conveying meaning.
  • Syntactic rules create correlations between adjacent words in texts.
  • Understanding these correlations is key to linguistic analysis.

Purpose of the Study:

  • To analyze lexical statistical connections in 11 major languages using an ordinal pattern approach.
  • To investigate how diverse linguistic structures influence word relation patterns.
  • To explore the potential of pattern distributions for historical and authorial attribution.

Main Methods:

  • Ordinal pattern analysis applied to lexical sequences.
  • Statistical examination of word correlations across multiple languages.
  • Comparative analysis of pattern structural distributions.

Main Results:

  • Distinct pattern structural distributions were observed, reflecting diverse language-specific word relations.
  • Fluctuations in these distributions correlate with the historical period of a text.
  • Pattern analysis demonstrated potential for author identification.

Conclusions:

  • Ordinal time series analysis offers valuable insights into linguistic typology.
  • The study underscores the utility of quantitative methods in historical linguistics.
  • Lexical pattern analysis is a promising tool for stylometry and authorship attribution.