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Findings of the WMT Shared Task on Machine Translation Using Terminologies

Publication at Faculty of Mathematics and Physics |
2021

Abstract

Language domains that require very carefuluse of terminology are abundant and reflect asignificant part of the translation industry. Inthis work we introduce a benchmark for eval-uating the quality and consistency of terminol-ogy translation, focusing on the medical (andCOVID-19 specifically) domain for five lan-guage pairs: English to French, Chinese, Rus-sian, and Korean, as well as Czech to Ger-man.

We report the descriptions and resultsof the participating systems, commenting onthe need for further research efforts towardsboth more adequate handling of terminologiesas well as towards a proper formulation andevaluation of the task.