Work

Fractality of informativity in 300 years of English scientific writing

Year: 2023

Type: conference-paper

Abstract: Scientific writing is assumed to have become more informationally dense over time (Halliday, 1988;Biber and Gray, 2016).Given that scientific writing is intended for communication between experts, we hypothesize a tendency towards optimizing language use by striving for a balance between highly informative content and a conventionalized style of writing.We study this by means of fractal analysis, asking whether the degree of informativity has become more persistent with predictable patterns of gradual changes between high vs. low informational content, indicating a trend towards an optimal code for scientific communication.Specifically, surprisal is used to measure informativity and the Hurst exponent is used as a long-term dependence measure for fractality analysis, quantifying the degree of persistence of informativity in scientific texts.

Source: Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)

DOI: 10.18653/v1/2023.latechclfl-1.5

Authors: Yuri Bizzoni, Stefania Degaetano-ortlieb

Institutions: Aarhus University, Saarland University

Language: English

Topic: Discourse Analysis in Language Studies

Subfield: Literature and Literary Theory

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: hybrid

Funder: Deutsche Forschungsgemeinschaft

Awards: G1951765764, SFB 1102: Informationsdichte und sprachliche Kodierung