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Article . 2024 . Peer-reviewed
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Article . 2023
License: CC BY NC SA
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https://dx.doi.org/10.48550/ar...
Article . 2022
License: arXiv Non-Exclusive Distribution
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Ordinal analysis of lexical patterns

Authors: David Sánchez; Luciano Zunino; Juan De Gregorio; Raúl Toral; Claudio Mirasso;

Ordinal analysis of lexical patterns

Abstract

Words are fundamental linguistic units that connect thoughts and things through meaning. However, words do not appear independently in a text sequence. The existence of syntactic rules induces correlations among neighboring words. Using an ordinal pattern approach, we present an analysis of lexical statistical connections for 11 major languages. We find that the diverse manners that languages utilize to express word relations give rise to unique pattern structural distributions. Furthermore, fluctuations of these pattern distributions for a given language can allow us to determine both the historical period when the text was written and its author. Taken together, our results emphasize the relevance of ordinal time series analysis in linguistic typology, historical linguistics, and stylometry.

Countries
Argentina, Spain
Keywords

FOS: Computer and information sciences, Physics - Physics and Society, Computer Science - Computation and Language, Statistical Mechanics (cond-mat.stat-mech), ORDINAL PATTERNS, Physics, LANGUAGE, FOS: Physical sciences, Physics and Society (physics.soc-ph), Physics and Society, SYNTACTIC RULES, Statistical Mechanics, https://purl.org/becyt/ford/1.3, Computer Science, Computation and Language, https://purl.org/becyt/ford/1, Computation and Language (cs.CL), Condensed Matter - Statistical Mechanics, LEXICAL PATTERNS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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6
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