A small set of stylometric features differentiates Latin prose and verse.

Identifying the stylistic signatures characteristic of different genres is of central importance to literary theory and criticism. In this article we report a large-scale computational analysis of Latin prose and verse using a combination of quantitative stylistics and supervised machine learning. W...

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Detalles Bibliográficos

Publicado en:	Digital Scholarship in the Humanities Vol. 34; no. 4; pp. 716 - 730
Autores principales:	Chaudhuri, Pramit, Dasgupta, Tathagata, Dexter, Joseph P, Iyer, Krithika
Formato:	Artículo
Publicado:	Oxford University Press / USA Dec2019
Materias:	Relative clauses Literary theory Supervised learning Literary criticism Prose poems
Acceso en línea:	Ver este registro en EBSCOhost