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arXiv 2005.00283cs.CL

Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation

ADAPT Centre(ADAPT中心);School of Computing, Dublin(都柏林计算机学院)

Andy Way, Rejwanul Haque, Guodong Xie, Federico Gaspari, Maja Popovic, Alberto Poncelas

英文摘要:

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 published in German, French, Italian, Spanish into English, as well as the reverse direction.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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