Maastricht University’s Large-Scale Multilingual Machine Translation System for WMT 2021

Danni Liu, Jan Niehues

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review


We present our development of the multilingual machine translation system for the large-scale multilingual machine translation task at WMT 2021. Starting form the provided baseline system, we investigated several techniques to improve the translation quality on the target subset of languages. We were able to significantly improve the translation quality by adapting the system towards the target subset of languages and by generating synthetic data using the initial model. Techniques successfully applied in zero-shot multilingual machine translation (e.g. similarity regularizer) only had a minor effect on the final translation performance.
Original languageEnglish
Title of host publicationProceedings of the Sixth Conference on Machine Translation (WMT)
PublisherAssociation for Computational Linguistics
Number of pages6
Publication statusPublished - Nov 2021
Event2021 Sixth Conference on Machine Translation (WMT21) - Punta Cana (Dominican Republic) and Online, Punta Cana, Dominican Republic
Duration: 10 Nov 202111 Nov 2021


Conference2021 Sixth Conference on Machine Translation (WMT21)
Abbreviated titleWMT21
Country/TerritoryDominican Republic
CityPunta Cana
Internet address

Cite this