About

What this TNA offers

This five-day training school focuses on Language Technology (LT) and Artificial Intelligence (AI) for Digital Humanities. It is organized by the CLARIN:EL research infrastructure, hosted and represented by the Institute for Language and Speech Processing of Athena Research Center, and aims to introduce participants to digital methods for the humanities, and to provide knowledge and practical skills needed for the successful deployment of LT and AI resources and tools in the framework of Digital Humanities and specifically for the curation and processing of digital language data.

The summer school will provide lectures on the contribution of AI and LT in digital language processing (exemplified through specific use cases); the lectures will be coupled with hands-on sessions and tutorials to familiarize participants with relevant language processing tools and services.

Participants will furthermore become acquainted with the use of the CLARIN:EL infrastructure.

The instructors are experts in Language Technology, Artificial Intelligence and Digital Humanities, coming from leading Greek research institutions and universities, as well as invited specialists from the broader CLARIN network.

Who is it for?

The summer school is open to graduate and postgraduate students, doctoral and postdoctoral fellows, researchers, academics, and professionals across the humanities. No prior experience with Language Technology or Artificial Intelligence is required, but participants should be familiar with working in digital environments.

Topics

Topics covered in this training school will include:

  • Introduction to AI and Machine Learning
  • Linguistic annotation
  • NLP for literary analysis
  • Foundations of LLMs
  • Preprocessing pipelines for AI ready data
  • LLMs for low-resourced languages /dialects
  • LLMs for translation
  • LT for Ancient Greek Philology
  • Evaluation of LLMs in downstream tasks
  • Language resources depositing and sharing 
  • Metadata for corpus documentation 
  • FAIR principles for open access
  • Cross-disciplinary use cases of LT/AI 

How to apply

For more information on the Applications Process, please see ATRIUM TNA Summer Schools.