Parallel corpora for the biomedical domain

Abstract

A vast amount of biomedical information is available in the form of scientific literature and government-authored patient information documents. While English is the most widely used language in many of these sources, there is a need to provide access to health information in languages other than English. Parallel corpora can be leveraged to implement cross-lingual information retrieval or machine translation tools. Herein, we review the extent of parallel corpus coverage in the biomedical domain. Specifically, we perform a scoping review of existing resources and we describe the recent development of new datasets for scientific literature (the EDP dataset and an extension of the Scielo corp..