Findings of the WMT shared task on machine translation using terminologies
MMI Alam, I Kvapilíková… - Proceedings of the …, 2021 - aclanthology.org
Proceedings of the Sixth Conference on Machine Translation, 2021•aclanthology.org
Abstract Language domains that require very careful use of terminology are abundant and
reflect a significant part of the translation industry. In this work we introduce a benchmark for
evaluating the quality and consistency of terminology translation, focusing on the medical
(and COVID-19 specifically) domain for five language pairs: English to French, Chinese,
Russian, and Korean, as well as Czech to German. We report the descriptions and results of
the participating systems, commenting on the need for further research efforts towards both …
reflect a significant part of the translation industry. In this work we introduce a benchmark for
evaluating the quality and consistency of terminology translation, focusing on the medical
(and COVID-19 specifically) domain for five language pairs: English to French, Chinese,
Russian, and Korean, as well as Czech to German. We report the descriptions and results of
the participating systems, commenting on the need for further research efforts towards both …
Abstract
Language domains that require very careful use of terminology are abundant and reflect a significant part of the translation industry. In this work we introduce a benchmark for evaluating the quality and consistency of terminology translation, focusing on the medical (and COVID-19 specifically) domain for five language pairs: English to French, Chinese, Russian, and Korean, as well as Czech to German. We report the descriptions and results of the participating systems, commenting on the need for further research efforts towards both more adequate handling of terminologies as well as towards a proper formulation and evaluation of the task.
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