Findings of the 2019 Conference on Machine Translation (WMT19)
Findings of the 2019 Conference on Machine Translation (WMT19)
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DOI：
10.18653/v1/w19-5301
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发表时间：
2019-08
期刊：
影响因子：
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通讯作者：
Loïc Barrault;Ondrej Bojar;M. Costa-jussà;C. Federmann;Mark Fishel;Yvette Graham;B. Haddow;Matthias Huc
中科院分区：
文献类型：
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作者：
Loïc Barrault;Ondrej Bojar;M. Costa-jussà;C. Federmann;Mark Fishel;Yvette Graham;B. Haddow;Matthias Huc
本文与2019年的机器翻译会议（WMT）一起组织了总理共享的任务的结果。要求参与者为18个语言对中的任何一个建立机器翻译系统，并在一组新闻报道中进行评估。这项任务的主要指标是人类对翻译质量的判断。该任务还开放了其他测试套件，以探测翻译的特定方面。
This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2019. Participants were asked to build machine translation systems for any of 18 language pairs, to be evaluated on a test set of news stories. The main metric for this task is human judgment of translation quality. The task was also opened up to additional test suites to probe specific aspects of translation.