Evaluation of Machine Translation Methods applied to Medical Terminologies
Workshop International Workshop on Health Text Mining and Information Analysis (LOUHI), EMNLP, 2020
Abstract
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 with use of 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.
