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Título: | Ordinal analysis of lexical patterns |
Autor: | Sánchez, David CSIC ORCID ; Zunino, Luciano CSIC ORCID; Gregorio, Juan de CSIC ORCID; Toral, Raúl CSIC ORCID ; Mirasso, Claudio R. CSIC ORCID | Palabras clave: | Physics Computer Science Computation and Language Statistical Mechanics Physics and Society |
Fecha de publicación: | 14-mar-2023 | Editor: | American Institute of Physics | Citación: | Chaos 33(3): 033121 (2023) | Resumen: | 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. | Descripción: | 9 pages, 12 figures, 2 tables; v2: the section on universality has been removed because previous results were affected by spurious correlations. Published version. | Versión del editor: | https://doi.org/10.1063/5.0139852 | URI: | http://hdl.handle.net/10261/352024 | DOI: | 10.1063/5.0139852 | ISSN: | 1054-1500 | E-ISSN: | 1089-7682 |
Aparece en las colecciones: | (IFISC) Artículos |
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lexical-patterns.pdf | 3,68 MB | Adobe PDF | Visualizar/Abrir |
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