Pramit Chaudhuri F'15
ACLS Digital Innovation Fellowships 2015
Computational Analysis of Intertextuality in Classical Literature
Literary scholarship has long been preoccupied with identifying verbal relations among texts (“intertextuality”). This project is developing a suite of new computational tools to enable researchers to trace connections among Latin and Greek texts at a higher order of scale and efficiency than manual searches: 1) a sequence alignment tool that identifies verbal parallels that are close but inexact (the commonest kind of intertextuality); 2) a digital Greek-Latin thesaurus to enable identification of parallels across languages by virtue of their meaning; 3) a pattern recognition tool that detects passages of similar metrical structure; and 4) a set of tools designed for classification of texts according to various stylistic metrics, which will be useful for studies of quotation and attribution.