RT3: Pattern Recognition in Literary Corpora

Research Topics

Objective Objective 2
Research

WP2 RT3

Task T2.2

RT3: Pattern Recognition in Literary Corpora

RT3 applies Natural Language Processing (NLP) and Machine Learning (ML) techniques to the study of Modern Greek Literature.
Some Key Objectives include:

  • Create digital corpora of Modern Greek Literature.
  • Use NLP and ML methods to identify patterns and clusters in works and authors.
  • Deepen understanding of themes in Greek literature and culture through AI-driven analysis.
  • Explore correlations between sentiments and linguistic context in literary works.
  • Investigate stylistic features using metrics like lexical density and syntactic complexity.
  • Identify similarities and differences within the corpus and trace intellectual networks.

Results

View and try model: https://www.transkribus.org/model/19th-century-greek-8.0

Participants

Anastasia Natsina
Anastasia Natsina

Leader

Stergios Chatzikyriakidis
Stergios Chatzikyriakidis

Leader

Christophe Roche
Christophe Roche

Co-supervisor

Melina Tamiolaki
Melina Tamiolaki

Co-supervisor

Rafail Giannadakis
Rafail Giannadakis

Research Assistant

Tonia Lourentzaki
Tonia Lourentzaki

Research Assistant

Fotini Coidakis
Fotini Coidakis

PhD Candidate

ico-User_plus80
PostDoc Candidate

To be selected; selection process to commence in 3rd year the project

Skip to content