most citedTowards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability

15 citations · 15 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Findings of the Covid-19 MLIA Machine Translation Task

Francisco Casacuberta, Alexandru Ceausu, Khalid Choukri +10

This work presents the results of the machine translation (MT) task from the Covid-19 MLIA @ Eval initiative, a community effort to improve the generation of MT systems focused on…

cs.CL202015 cited

Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability

Georg Rehm, Dimitrios Galanis, Penny Labropoulou +21

With regard to the wider area of AI/LT platform interoperability, we concentrate on two core aspects: (1) cross-platform search and discovery of resources and services; (2) composi…

cs.CL2020

The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe

Georg Rehm, Katrin Marheinecke, Stefanie Hegele +44

Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality. However, language barriers impacting business, cr…

cs.CL2020

European Language Grid: An Overview

Georg Rehm, Maria Berger, Ela Elsholz +33

With 24 official EU and many additional languages, multilingualism in Europe and an inclusive Digital Single Market can only be enabled through Language Technologies (LTs). Europea…

cs.CL2020

Making Metadata Fit for Next Generation Language Technology Platforms: The Metadata Schema of the European Language Grid

Penny Labropoulou, Katerina Gkirtzou, Maria Gavriilidou +12

The current scientific and technological landscape is characterised by the increasing availability of data resources and processing tools and services. In this setting, metadata ha…