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HAA-271822-20

University of Texas, Austin (Austin, TX 78712-0100)
Pramit Chaudhuri (Project Director: January 2020 to present)
Joseph Dexter (Co Project Director: July 2020 to present)
Computational tools for diachronic and cross-cultural study of literature: multilingual stylometry and phylogenetic profiling

The extension of a textual analysis tool kit for stylistic and authorship studies that was originally developed for Latin and ancient Greek to now include capabilities for working with Old English and Bengali resources.

This project, for which we are seeking a Level III Digital Advancement Grant, will expand a suite of tools with which traditionally-trained humanists can analyze literary texts in a quantitative manner. The tools are designed with an important class of literary problems in mind, exemplified by the identification of stylistic effects and the individuating of works within generic traditions. We tackle these problems using two complementary approaches: stylometry augmented by machine learning and phylogenetic profiling. We will leverage our previous research in literary stylistics for the creation of a user-friendly multilingual stylometry toolkit and make enhancements to our existing methods for evolutionary analysis of literature, including automation of key steps. The tools will be tested on a set of problems at the intersection of literary criticism and big data across multiple languages, including Latin, ancient Greek, Old English, and Bengali.

[Grant products]

Project fields:
Classical Literature

Program:
Digital Humanities Advancement Grants

Division:
Digital Humanities

Totals:
$324,971 (approved)
$324,971 (awarded)

Grant period:
9/1/2020 – 8/31/2023