Abstract
As is the case of many signals produced by complex systems, language presents a statistical structure that is balanced between order and disorder. Here we review and extend recent results from quantitative characterisations of the degree of order in linguistic sequences that give insights into two relevant aspects of language: the presence of statistical universals in word ordering, and the link between semantic information and the statistical linguistic structure. We first analyse a measure of relative entropy that assesses how much the ordering of words contributes to the overall statistical structure of language. This measure presents an almost constant value close to 3.5 bits/word across several linguistic families. Then, we show that a direct application of information theory leads to an entropy measure that can quantify semantic structures and extract keywords from linguistic samples, even without prior knowledge of the underlying language.
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Notes
- 1.
All but the Old Egyptian and Sumerian text sources were obtained from the Project Gutenberg e-text repository (www.gutenberg.org). The Old Egyptian texts were obtained from the page maintained by Dr. Mark-Jan Nederhof at the University of St Andrews (www.cs.st-andrews.ac.uk/mjn/egyptian/texts/) as transliterations from the original hieroglyphs. The Sumerian texts were downloaded from The Electronic Text Corpus of Sumerian Literature (www-etcsl.orient.ox.ac.uk/) and consisted of transliterations of the logo-syllabic symbols.
- 2.
The parallel Bible corpus was compiled by Christos Christodoulopoulos from the Cognitive Computation Group at the University of Illinois, and downloaded from http://homepages.inf.ed.ac.uk/s0787820/bible/. Only texts that were encoded in Latin characters were used.
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Montemurro, M.A., Zanette, D.H. (2016). Complexity and Universality in the Long-Range Order of Words. In: Degli Esposti, M., Altmann, E., Pachet, F. (eds) Creativity and Universality in Language. Lecture Notes in Morphogenesis. Springer, Cham. https://doi.org/10.1007/978-3-319-24403-7_3
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