Florent Desgrippes

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2020

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Evaluation of Machine Translation Methods applied to Medical Terminologies
Konstantinos Skianis | Yann Briand | Florent Desgrippes
Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis

Medical terminologies resources and standards play vital roles in clinical data exchanges, enabling significantly the services’ interoperability within healthcare national information networks. Health and medical science are constantly evolving causing requirements to advance the terminologies editions. In this paper, we present our evaluation work of the latest machine translation techniques addressing medical terminologies. Experiments have been conducted leveraging selected statistical and neural machine translation methods. The devised procedure is tested on a validated sample of ICD-11 and ICF terminologies from English to French with promising results.
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