A Natural Language Processing approach to Complexity Assessment of 18th-century health literature
(2023) Domínios de Lingu@gem — Vol. 17, p. e1753 (2023)
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Leonardo+Zilio,+Maria+José+Bocorny+Finatto,+Renata+Vieira,+Paulo+Quaresma.pdf
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- Authors
Finatto, Maria 
Vieira, Renata Quaresma, Paulo
- Abstract
- In this paper, we present an experiment for complexity level estimation of Portuguese texts of the 18th century using NLP tools. The 18th century was the time for the realization of a new world that had been built since the Renaissance, it was the period of consolidation of many of the current sciences. One of its characteristics is the presentation of scientific written records in national languages, rather than Latin, and the expressed wishes that the specialized texts could be more understandable to people of lesser erudition. As such, we intend to collaborate to identify if and how these wishes were fulfilled. To achieve this goal, we resort to a NLP supporting methodology to detect degrees of complexity of a medical work of this time period, and compare it with two other works with a hypothesized lesser and greater complexity. To help us to identify features of a continuum of complexity of this kind of documents, we applied the NILC-Metrix system.
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Citations
Zilio, L., Finatto, M., Vieira, R., & Quaresma, P. (2023). A Natural Language Processing approach to Complexity Assessment of 18th-century health literature. Domínios de Lingu@gem, 17, e1753. https://doi.org/10.14393/DLv17a2023-53 (Original work published 2023)