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Updated: Aug 4, 2025
06:48
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
Published on: June 25, 2019
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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.)
|April 1, 2023
Summary
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.
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.
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