Date of Award

2016

Document Type

Thesis

Degree Name

Bachelors

Department

Humanities

First Advisor

Shaw, Carl

Keywords

Greek Prosimetrics, Latin Prosimetrics, Philological Process

Area of Concentration

Classics

Abstract

Advances in technology now allow classicists to automate philological processes like scansion so that many more texts may be analyzed. Additionally, data science has much to offer the classics, since the corpus is static and contains many structured data points. In this thesis, I will propose a new philological method of analysis combing these two innovations, specifically a comparative method for Greek and Latin prosimetrics. The method will compare the prose rhythms of Greek and Latin texts by creating rhythmic profiles for each text so that they may be quantitatively analyzed. Chapters one and two detail the philological and computational components of the method, while in chapter three I provide examples of the method in use. The thesis concludes with a short discussion of future enhancements to this comparative method.

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