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

Archivos

https://socictopen.socict.org/files/to_import/pdfs/5162743.pdf

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.

Formatos de Salida

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