RT3: Pattern Recognition in Literary Corpora
Objective 2
Research
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
Find the Pylaia model in Traskribus : https://www.transkribus.org/ public-models https://www.transkribus.org/ model/19th-century-greek-8.0
View and try model: https://www.transkribus.org/model/19th-century-greek-8.0
Anastasia Natsina
Leader
Stergios Chatzikyriakidis
Leader
Christophe Roche
Co-supervisor
Melina Tamiolaki
Co-supervisor
Rafail Giannadakis
Research Assistant
Tonia Lourentzaki
Research Assistant
Fotini Coidakis
PhD Candidate
PostDoc Candidate
To be selected; selection process to commence in 3rd year the project