Literary Science in Touch with Algorithms

Abstract

The rapid development of digital technologies and infrastructures in recent decades has led to their widespread use in the humanities. In literary studies in particular, this global trend is manifested, among other things, by the creation of various literary databases and corpus platforms, of which the former in particular are nowadays a major trend. However, this presupposes additional knowledge, especially in programming and technical data processing, which can be a problem for literary scholars. In my paper, I present the complete environment of a modern linguistic-literary corpus of Czech prose, which implements a set of different digital tools for its mining, ranging from literary maps, network models, quantitative and statistical models showing e.g. analysis of sentiment, narrative rhythm, word clouds and many other aspects of narrative literary texts (speech types in fictional narrative) to standard corpus tools such as concordance, collocation or searching for word frequencies, word forms, lexical diversity or so-called readability of texts, etc.

Presenters

Richard Zmelik
Associate Professor, Department of Czech Studies, Palacký University in Olomouc, Olomoucký kraj, Czech Republic

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

Literary Humanities

KEYWORDS

Digital Literary Corpus, Digital Humanities, Quantitative and Statistic Methods, Narratology