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

Monthly Archives: October 2021

  1. Home>
  2. 2021>
  3. October
Shared Task: Multilingual Low-Resource Translation for Indo-European Languages (WMT 21)

Shared Task: Multilingual Low-Resource Translation for Indo-European Languages (WMT 21)

  • Post category:News & Updates
  • Reading time:3 mins read

In this post we look at the works which were submitted for the shared task of multilingual low-resource translation for Indo-European languages. The works will be for the EMNLP 2021…

Continue ReadingShared Task: Multilingual Low-Resource Translation for Indo-European Languages (WMT 21)
Low-Resource NLP: Self-Supervised Neural Machine Translation

Low-Resource NLP: Self-Supervised Neural Machine Translation

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

Welcome to the last session in Low-Resource NLP: Multilinguality and Machine Translation! In the last iteration in this series, we discuss Self-Supervised Neural Machine Translation in great detail. We start…

Continue ReadingLow-Resource NLP: Self-Supervised Neural Machine Translation
Low-Resource NLP: Neural Machine Translation

Low-Resource NLP: Neural Machine Translation

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

Welcome to the third session in Low-Resource NLP: Neural Machine Translation! In the third iteration in this series, we go recap the second session's topics and follow up with the…

Continue ReadingLow-Resource NLP: Neural Machine Translation
  • 1
  • 2
  • 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