https://socictopen.socict.org/files/original/fed4d0effd92d2dd632b9931e492a5e4.pdf a3ec488aa8cabb45ddfe5ee3ba8884af Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Rapid Development of Competitive Translation Engines for Access to Multilingual COVID-19 Information Creator An entity primarily responsible for making the resource Maja Popović, Guodong Xie, Andy Way, Rejwanul Haque, Federico Gaspari, Alberto Poncelas Description An account of the resource Every day, more people are becoming infected and dying from exposure to COVID-19. Some countries in Europe like Spain, France, the UK and Italy have suffered particularly badly from the virus. Others such as Germany appear to have coped extremely well. Both health professionals and the general public are keen to receive up-to-date information on the effects of the virus, as well as treatments that have proven to be effective. In cases where language is a barrier to access of pertinent information, machine translation (MT) may help people assimilate information published in different languages. Our MT systems trained on COVID-19 data are freely available for anyone to use to help translate information (such as promoting good practice for symptom identification, prevention, and treatment) published in German, French, Italian, Spanish into English, as well as the reverse direction. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Machine Translation, human evaluation, neural MT, COVID-19, automatic evaluation, crisis translation Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/informatics7020019 Source A related resource from which the described resource is derived Informatics Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Information technology