Skip to content
[email protected]
LT Bridge
  • Home
  • About
    • Project Description
    • Aim
    • Objectives
  • Consortium
    • DCU
    • DFKI
    • UM
  • Work Packages & Deliverables
  • News & Articles
  • Toggle website search
Search this website
Menu Close
  • Home
  • About
    • Project Description
    • Aim
    • Objectives
  • Consortium
    • DCU
    • DFKI
    • UM
  • Work Packages & Deliverables
  • News & Articles
  • Toggle website search

Author: Enrico Aquilina

This author has written 30 articles
  1. Home>
  2. Enrico Aquilina>
  3. Page 2
AI Language Breakthroughs: LT Bridge at Malta’s Research Expo

AI Language Breakthroughs: LT Bridge at Malta’s Research Expo

  • Post category:Events/News & Updates
  • Reading time:2 mins read

The EU-backed LT Bridge project, focused on developing AI language technologies, recently held a research exposition at the University of Malta. This event promoted collaborative learning and featured diverse topics,…

Continue ReadingAI Language Breakthroughs: LT Bridge at Malta’s Research Expo
Winter School 2023 Registration Open

Winter School 2023 Registration Open

  • Post category:Events/News & Updates
  • Reading time:2 mins read

Hello there, We're thrilled to unveil the LT-Bridge Winter School 2023! This academically enriching event is set to be a standout in this year's scholarly lineup, filled with enlightening discussions…

Continue ReadingWinter School 2023 Registration Open
LT-Bridge Invited Talk: A Deep Dive into Large Language Models and Translation

LT-Bridge Invited Talk: A Deep Dive into Large Language Models and Translation

  • Post category:Events/News & Updates
  • Reading time:2 mins read

Join us for an enlightening conversation with renowned academic and machine translation (MT) expert, Prof. Andy Way. The session will be held on Thursday, 18th May, from 10:00 AM to…

Continue ReadingLT-Bridge Invited Talk: A Deep Dive into Large Language Models and Translation
  • Go to the previous page
  • 1
  • 2
  • 3
  • 4
  • 5
  • …
  • 10
  • Go to the next page

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 952194