Pramit Chaudhuri ; Joseph P. Dexter - Bioinformatics and Classical Literary Study

jdmdh:1386 - Journal of Data Mining & Digital Humanities, August 19, 2017, Special Issue on Computer-Aided Processing of Intertextuality in Ancient Languages -
Bioinformatics and Classical Literary StudyArticle

Authors: Pramit Chaudhuri ; Joseph P. Dexter

    This paper describes the Quantitative Criticism Lab, a collaborative initiative between classicists, quantitative biologists, and computer scientists to apply ideas and methods drawn from the sciences to the study of literature. A core goal of the project is the use of computational biology, natural language processing, and machine learning techniques to investigate authorial style, intertextuality, and related phenomena of literary significance. As a case study in our approach, here we review the use of sequence alignment, a common technique in genomics and computational linguistics, to detect intertextuality in Latin literature. Sequence alignment is distinguished by its ability to find inexact verbal similarities, which makes it ideal for identifying phonetic echoes in large corpora of Latin texts. Although especially suited to Latin, sequence alignment in principle can be extended to many other languages.

    Volume: Special Issue on Computer-Aided Processing of Intertextuality in Ancient Languages
    Section: Project presentations
    Published on: August 19, 2017
    Accepted on: August 18, 2017
    Submitted on: July 21, 2017
    Keywords: Computer Science - Computation and Language
      Source : OpenAIRE Graph
    • Graduate Research Fellowship Program (GRFP); Funder: National Science Foundation; Code: 1144152

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