论文标题
通过神经机器翻译促进访问多语言covid-19信息
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation
论文作者
论文摘要
每天，更多的人因暴露于19 Covid-19的感染而死亡。欧洲的一些国家（例如西班牙，法国，英国和意大利）因病毒而遭受了特别严重的苦难。像德国这样的其他人似乎已经很好地应对。卫生专业人员和公众都热衷于接收有关病毒影响的最新信息，以及被证明有效的治疗方法。如果语言是访问相关信息的障碍，则机器翻译（MT）可以帮助人们吸收以不同语言发表的信息。我们在COVID-19数据进行培训的MT系统可以免费使用，以帮助将以德语，法语，意大利语，西班牙语为英语以及反向方向翻译出来的信息。
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.
