Clinical and biomedical text mining research efforts have so far focused mainly on documents written in English. These efforts benefited significantly from the availability, not only of domain-specific components such as a tokenizers or Part-of-Speech taggers, but particularly from the access to very large training corpora and terminological resources like UMLS. In order to exploit terminological resources currently restricted to English, it is necessary to promote more systematic translation efforts into other languages, be it manual or by means of machine translation techniques. An initial barrier not only for generating medical machine translation models is the actual identification of relevant datasets that could be exploited to derive glossaries and parallel corpora. Usually relevant datasets weren’t constructed as a language technology resource and thus are often overseen by the natural language processing community. This article describes an exhaustive effort to identify and characterize heterogeneous types of documents and glossaries useful to build parallel corpora for Spanish-English medical machine translation systems, including: (1) the combination and harmonization of various bibliographic datasets of biomedical and clinical literature from Spain and Latin America, (2) technical specifications and package leaflets of medicines generated by the pharmaceutical industry, (3) medical and medicinal chemistry patent translations, (4) web-content with trusted information sources about diseases, conditions, and wellness issues for patients, (5) a joined medical multilingual glossary produced by over 500 professional translators and free online medical dictionaries, and (6) keywords derived from bilingual/multilingual medical questionnaires.
@InProceedings{VILLEGAS18.8, author = {Marta Villegas ,Ander Intxaurrondo ,Aitor Gonzalez-Agirre ,Montserrat Marimón and Martin Krallinger}, title = {The MeSpEN Resource for English-Spanish Medical Machine Translation and Terminologies: Census of Parallel Corpora, Glossaries and Term Translations}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Maite Melero and Martin Krallinger and
Aitor Gonzalez-Agirre}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-03-0}, language = {english} }
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