Topics

Topics covered in this training school.

Introduction to AI and Machine Learning

NLP for literary analysis

Preprocessing pipelines for AI ready data

Linguistic annotation

LLMs for low-resourced languages /dialects

LLMs for translation

Foundations of LLMs

Evaluation of LLMs in downstream tasks

LT for Ancient Greek Philology

Language resources depositing and sharing

Metadata for corpus documentation

FAIR principles for open access

Cross-disciplinary use cases of LT/AI 