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arXiv 2007.01788cs.CLcs.DLcs.IR
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TICO-19:针对新冠肺炎的翻译倡议

TICO-19: the Translation Initiative for Covid-19

Carnegie Mellon University(卡内基梅隆大学);Translated(Translated公司);Amazon AI(亚马逊AI);Microsoft(微软);Facebook AI;Google(谷歌);Johns Hopkins University(约翰斯·霍普金斯大学);Appen(Appen公司);Translators without Borders(无国界译者)
Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federman, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Phi… 展开作者

Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federman, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, Will Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur

摘要:

COVID-19疫情是一个多世纪以来袭击全球的最严重疫情。阻止SARS-CoV-2病毒蔓延的关键是向弱势群体宣传他们可以保护自己的手段。为此,组成COVID-19翻译倡议(TICO-19)的合作者已经向人工智能和机器翻译研究人员提供了35种不同语言的测试和开发数据,以促进工具和资源的开发,改善对这些语言的COVID-19信息的访问。除了9种资源丰富的“枢纽”语言外,该小组还针对26种资源较少的语言,特别是非洲、南亚和东南亚的语言,这些语言的人口可能最容易受到病毒传播的影响。相同的数据被翻译成所表示的所有语言,这意味着可以对集合中的任何语言配对进行测试或开发。此外,该团队正在将测试和开发数据转换为翻译记忆库(TMX),本地化人员可以在任何语言之间使用这些翻译记忆库。

英文摘要:

The COVID-19 pandemic is the worst pandemic to strike the world in over a century. Crucial to stemming the tide of the SARS-CoV-2 virus is communicating to vulnerable populations the means by which they can protect themselves. To this end, the collaborators forming the Translation Initiative for COvid-19 (TICO-19) have made test and development data available to AI and MT researchers in 35 different languages in order to foster the development of tools and resources for improving access to information about COVID-19 in these languages. In addition to 9 high-resourced, "pivot" languages, the team is targeting 26 lesser resourced languages, in particular languages of Africa, South Asia and South-East Asia, whose populations may be the most vulnerable to the spread of the virus. The same data is translated into all of the languages represented, meaning that testing or development can be done for any pairing of languages in the set. Further, the team is converting the test and development data into translation memories (TMXs) that can be used by localizers from and to any of the languages.

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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