We present a method for machine translation of clinical texts without using bilingual clinical
texts, leveraging the rich terminology and structure of the Systematized Nomenclature of …

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 …

One of the challenges of medical text translation is the usage of a large and specialized
vocabulary, while the available parallel corpora are limited. In this presentation, we will …

Clinical text and documents contain very rich information and knowledge in healthcare, and
their processing using state-of-the-art language technology becomes very important for …

This paper describes the ADAPT Centre's submissions to the WMT20 Biomedical
Translation Shared Task for English-to-Basque. We present the machine translation (MT) …

Objective: In the context of past and current SNOMED CT translation projects we compare
three kinds of SNOMED CT translations from English to German by:(t1) professional medical …

This paper describes the machine translation systems proposed by the University of
Technology Sydney Natural Language Processing (UTS NLP) team for the WMT20 English …

Abstract Background The S ystematized N omenclature of Med icine-C linical T erms
(SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous …

The MTP (multiple translation paths) approach supports human translators in clinical
terminology localization. It exploits the results of web-based machine translation tools and …

With the development of electronic personal health records, more patients are gaining
access to their own medical records. However, comprehension of medical record content …