Punctuation Patterns in Finnegans Wake by James Joyce Are Largely Translation-Invariant

The complexity characteristics of texts written in natural languages are significantly related to the rules of punctuation. In particular, the distances between punctuation marks measured by the number of words quite universally follow the family of Weibull distributions known from survival analyses. However, the values of two parameters marking specific forms of these distributions distinguish specific languages. This is such a strong constraint that the punctuation distributions of texts translated from the original language into another adopt quantitative characteristics of the target language. All these changes take place within Weibull distributions such that the corresponding hazard functions are always increasing. Recent previous research shows that James Joyce's famous novel <i>Finnegans Wake</i> is subject to such an extreme distribution from the Weibull family that the corresponding hazard function is clearly decreasing. At the same time, the distances of sentence-ending punctuation marks, determining the sentence length variability, have an almost perfect multifractal organization to an extent found nowhere else in the literature thus far. In the present contribution, based on several available translations (Dutch, French, German, Polish, and Russian) of <i>Finnegans Wake</i>, it is shown that the punctuation characteristics of this work remain largely translation-invariant, contrary to the common cases. These observations may constitute further evidence that <i>Finnegans Wake</i> is a translinguistic work in this respect as well, in line with Joyce's original intention.

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Publication Details

Journal
Entropy
Published
2025-02-07
DOI
https://doi.org/10.3390/e27020177
Citations
3
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
9.39
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article

Punctuation Patterns in Finnegans Wake by James Joyce Are Largely Translation-Invariant

Tomasz Stanisz, Stanisław Drożdż, Jarosław Kwapień, Krzysztof Bartnicki
3 citations
Entropy
Complex Systems and Time Series Analysis
9.39
article

Punctuation Patterns in Finnegans Wake by James Joyce Are Largely Translation-Invariant

Tomasz Stanisz, Stanisław Drożdż, Jarosław Kwapień, Krzysztof Bartnicki
article en
3 citations

Abstract

The complexity characteristics of texts written in natural languages are significantly related to the rules of punctuation. In particular, the distances between punctuation marks measured by the number of words quite universally follow the family of Weibull distributions known from survival analyses. However, the values of two parameters marking specific forms of these distributions distinguish specific languages. This is such a strong constraint that the punctuation distributions of texts translated from the original language into another adopt quantitative characteristics of the target language. All these changes take place within Weibull distributions such that the corresponding hazard functions are always increasing. Recent previous research shows that James Joyce's famous novel <i>Finnegans Wake</i> is subject to such an extreme distribution from the Weibull family that the corresponding hazard function is clearly decreasing. At the same time, the distances of sentence-ending punctuation marks, determining the sentence length variability, have an almost perfect multifractal organization to an extent found nowhere else in the literature thus far. In the present contribution, based on several available translations (Dutch, French, German, Polish, and Russian) of <i>Finnegans Wake</i>, it is shown that the punctuation characteristics of this work remain largely translation-invariant, contrary to the common cases. These observations may constitute further evidence that <i>Finnegans Wake</i> is a translinguistic work in this respect as well, in line with Joyce's original intention.

EntropyVol. 27(2)
Cracow University of Technology (PL), Institute of Nuclear Physics, Polish Academy of Sciences (PL)
Quality Education
Openalex Percentile: Top 3%
Complex Systems and Time Series Analysis
9.39
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