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Found 4 papers, 1 papers with code
Profiling of Intertextuality in Latin Literature Using Word Embeddings
Identifying intertextual relationships between authors is of central importance to the study of literature.
A Stylometry Toolkit for Latin Literature
Computational stylometry has become an increasingly important aspect of literary criticism, but many humanists lack the technical expertise or language-specific NLP resources required to exploit computational methods.
Stylometric Classification of Ancient Greek Literary Texts by Genre
Classification of texts by genre is an important application of natural language processing to literary corpora but remains understudied for premodern and non-English traditions.
Bioinformatics and Classical Literary Study
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.
