Rapid Development of Competitive Translation Engines for Access to Multilingual COVID-19 Information
Título
Rapid Development of Competitive Translation Engines for Access to Multilingual COVID-19 Information
Autor
Maja Popović, Guodong Xie, Andy Way, Rejwanul Haque, Federico Gaspari, Alberto Poncelas
Descripción
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.
Fecha
2020
Materia
Machine Translation, human evaluation, neural MT, COVID-19, automatic evaluation, crisis translation
Identificador
DOI: 10.3390/informatics7020019
Fuente
Informatics
Editor
MDPI AG
Cobertura
Information technology
Colección
Citación
Maja Popović, Guodong Xie, Andy Way, Rejwanul Haque, Federico Gaspari, Alberto Poncelas, “Rapid Development of Competitive Translation Engines for Access to Multilingual COVID-19 Information,” SOCICT Open, consulta 22 de abril de 2026, https://socictopen.socict.org/items/show/4054.
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