Ordinal analysis of lexical patterns
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 1 of its 36 references that are in the map. First posted on arXiv 23 Aug 2022.
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Citing papers per year: 2024: 2; 2025: 2.
4 papers.
- 2024Entropy and type-token ratio in gigaword corporacited by 6
- 2024Statistics of punctuation in experimental literature -- the remarkable case of "Finnegans Wake" by James Joycecited by 4
- 2025Punctuation patterns in "Finnegans Wake" by James Joyce are largely translation-invariantcited by 1
- 2025Multifractal hopscotch in "Hopscotch" by Julio Cortazarcited by 1
- 2025Multifractal hopscotch in "Hopscotch" by Julio Cortazar22 Jan 2025
- 2025Punctuation patterns in "Finnegans Wake" by James Joyce are largely translation-invariant22 Jan 2025
- 2024Entropy and type-token ratio in gigaword corpora15 Nov 2024
- 2024Statistics of punctuation in experimental literature -- the remarkable case of "Finnegans Wake" by James Joyce31 Aug 2024