By Mirko Degli Esposti, Eduardo G. Altmann, Francois Pachet
This ebook collects study contributions pertaining to quantitative ways to signify originality and universality in language. the objective viewers includes researchers and specialists within the box however the ebook can also be worthwhile for graduate students.
Creativity should be regarded as a morphogenetic procedure combining common beneficial properties with originality. whereas quantitative tools utilized to textual content and song demonstrate common good points of language and tune, originality is a hugely preferred characteristic of authors, composers, and performers.
during this framework, the several tools of conventional difficulties of authorship attribution and rfile class supply vital insights on tips to quantify the original gains of authors, composers, and kinds. Such detailed positive factors distinction, and are limited by way of, common signatures, equivalent to scaling legislation in word-frequency distribution, entropy measures, long-range correlations, between others. This interaction among innovation and universality can be a vital component of equipment for automated textual content generation.
Innovation in language turns into proper while it truly is imitated and unfold to different audio system and musicians. glossy electronic databases supply new possibilities to signify and version the construction and evolution of linguistic strategies on old time scales, a very vital instance of the extra normal challenge of spreading of suggestions in advanced social systems.
This multidisciplinary e-book combines scientists from a number of varied backgrounds drawn to quantitative research of diversifications (synchronic and diachronic) in language and tune. the purpose is to acquire a deeper figuring out of the way originality emerges, could be quantified, and propagates.
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Extra info for Creativity and Universality in Language
The analysis was done using the first 500 most informative words and only the 1 % strongest connections were kept. To verify that all these connections were statistically significant, the similarity matrix was evaluated repeatedly on randomised frequency vectors, in which the indices corresponding to the partitions of the text were shuffled independently for each vector. The procedure allowed us to compute a p-value for every connection, given by the fraction of times the connection of the randomised realisation was equal to or higher than that from the original text.
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