Please use this identifier to cite or link to this item: doi:10.22028/D291-42484
Title: Linguistic Variation and Change in 250 Years of English Scientific Writing: A Data-Driven Approach
Author(s): Bizzoni, Yuri
Degaetano-Ortlieb, Stefania
Fankhauser, Peter
Teich, Elke
Language: English
Title: Frontiers in Artificial Intelligence
Volume: 3
Publisher/Platform: Frontiers
Year of Publication: 2020
Free key words: linguistic change
diachronic variation in language use
register variation
evolution of Scientific English
computational language models
DDC notations: 400 Language, linguistics
Publikation type: Journal Article
Abstract: We trace the evolution of Scientific English through the Late Modern period to modern time on the basis of a comprehensive corpus composed of the Transactions and Proceedings of the Royal Society of London, the first and longest-running English scientific journal established in 1665. Specifically, we explore the linguistic imprints of specialization and diversification in the science domain which accumulate in the formation of “scientific language” and field-specific sublanguages/registers (chemistry, biology etc.). We pursue an exploratory, data-driven approach using state-of-the-art computational language models and combine them with selected information-theoretic measures (entropy, relative entropy) for comparing models along relevant dimensions of variation (time, register). Focusing on selected linguistic variables (lexis, grammar), we show how we deploy computational language models for capturing linguistic variation and change and discuss benefits and limitations.
DOI of the first publication: 10.3389/frai.2020.00073
URL of the first publication: https://doi.org/10.3389/frai.2020.00073
Link to this record: urn:nbn:de:bsz:291--ds-424848
hdl:20.500.11880/38127
http://dx.doi.org/10.22028/D291-42484
ISSN: 2624-8212
Date of registration: 30-Jul-2024
Faculty: P - Philosophische Fakultät
Department: P - Sprachwissenschaft und Sprachtechnologie
Professorship: P - Prof. Dr. Elke Teich
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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