Neural machine translation of clinical texts between long distance languages.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published Date: Dec 1, 2019

Abstract

OBJECTIVE: To analyze techniques for machine translation of electronic health records (EHRs) between long distance languages, using Basque and Spanish as a reference. We studied distinct configurations of neural machine translation systems and used different methods to overcome the lack of a bilingual corpus of clinical texts or health records in Basque and Spanish.

Authors

Xabier Soto

IXA Group, University of the Basque Country (UPV-EHU), Manuel Lardizabal 1, 20080 Donostia, Spain. Electronic address: xabier.soto@ehu.eus.
Olatz Perez-de-Viñaspre
Gorka Labaka

Faculty of Informatics, Computer Languages and Systems, Ixa Research Group, University of the Basque Country (UPV/EHU), Donostia, Spain.
Maite Oronoz

Keywords

Electronic Health Records Humans Natural Language Processing Neural Networks, Computer Spain Systematized Nomenclature of Medicine Terminology as Topic Translating

External Resources

View on PubMed Access via DOI PubMed (31334764)

Neural machine translation of clinical texts between long distance languages.

Abstract

Authors

Keywords

External Resources

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