New Impact Story: MATEO: Easy and Accessible Machine Translation Evaluation 

Submitted by Karina Berger on 27 September 2023

With the rapid developments in machine translation ( ) in recent years, improved evaluation methods are needed in order to determine which translation system is best for a given dataset, language pair or domain. MATEO (MAchine Translation Evaluation Online) is a new, user-friendly tool for both experts and non-experts that answers a growing need for easy and accessible evaluation of machine translation. The software was developed by  Bram Vanroy, Arda Tezcan, Lieve Macken and Michaël Lumingu from Ghent University, and was funded by a CLARIN Bridging Gaps grant after getting seed funding from the European Association for Machine Translation. 

Read the full Impact Story.