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Semantic and sentiment trajectories of literary masterpieces

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  • Gromov, Vasilii A.
  • Dang, Quynh Nhu

Abstract

The paper deals with semantic and sentiment trajectories of literary masterpieces (we used corpora of 12 languages of various language families), composed of individual embeddings or n-grams. We ascertain that, for all languages, semantic and sentiment trajectories are markedly chaotic: positive largest Lyapunov exponents; ‘entropy-complexity’ pairs belonging to the ‘chaotic’ area of the respective plane; the distinctive ‘chaotic’ drop of the number of false nearest neighbours at a particular value of an embedding dimension. The Russian language turns out to be more ‘chaotic’ than, for example, the English one; we attribute this fact to the free order of words. The Esperanto language, for various ‘approaches’ to different Indo-European languages. The results do not corroborate its claim to be equidistant from all languages. However, it seems to be equidistant from all Indo-European languages. These characteristics are utilised in order to develop a method to compare styles of an original masterpiece and its translations (to automatically assess translation quality). It appears that machine translations are still worse than human ones, however, for example, the Facebook translation is comparable with them.

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  • Gromov, Vasilii A. & Dang, Quynh Nhu, 2023. "Semantic and sentiment trajectories of literary masterpieces," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    • Handle: RePEc:eee:chsofr:v:175:y:2023:i:p1:s0960077923008354
    DOI: 10.1016/j.chaos.2023.113934
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    References listed on IDEAS

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    1. Thien Nguyen & Lam Nguyen & Phuoc Tran & Huu Nguyen & Dr Shahzad Sarfraz, 2021. "Improving Transformer-Based Neural Machine Translation with Prior Alignments," Complexity, Hindawi, vol. 2021, pages 1-10, May.
    2. Shapoval, A., 2010. "Prediction problem for target events based on the inter-event waiting time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5145-5154.
    3. Michaël C Waumans & Thibaut Nicodème & Hugues Bersini, 2015. "Topology Analysis of Social Networks Extracted from Literature," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-30, June.
    4. Laurence Mangin & Guy Lesèche & Alain Duprey & Christine Clerici, 2011. "Ventilatory Chaos Is Impaired in Carotid Atherosclerosis," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-10, January.
    5. Vasilii A. Gromov & Anastasia M. Migrina, 2017. "A Language as a Self-Organized Critical System," Complexity, Hindawi, vol. 2017, pages 1-7, November.
    6. P. Mac Carron & R. Kenna, 2013. "Network analysis of the Íslendinga sögur – the Sagas of Icelanders," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(10), pages 1-9, October.
    7. Martin, M.T. & Plastino, A. & Rosso, O.A., 2006. "Generalized statistical complexity measures: Geometrical and analytical properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 439-462.
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    1. Amiri, Babak & Karimianghadim, Ramin, 2024. "A novel text clustering model based on topic modelling and social network analysis," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).

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