This paper presents the results of the General Machine Translation Task organised as part
of the Conference on Machine Translation (WMT) 2022. In the general MT task, participants …

We present COMET, a neural framework for training multilingual machine translation
evaluation models which obtains new state-of-the-art levels of correlation with human …

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 …

The field of machine translation faces an under-recognized problem because of
inconsistency in the reporting of scores from its dominant metric. Although people refer to" …

This paper presents the results of the WMT17 shared tasks, which included three machine
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …

This paper presents the results of the WMT16 shared tasks, which included five machine
translation (MT) tasks (standard news, IT-domain, biomedical, multimodal, pronoun), three …

This paper presents the results of the news translation task, the multilingual low-resource
translation for Indo-European languages, the triangular translation task, and the automatic …

This paper presents the results of the WMT19 Metrics Shared Task. Participants were asked
to score the outputs of the translations systems competing in the WMT19 News Translation …

This paper presents the results of the WMT16 Metrics Shared Task. We asked participants of
this task to score the outputs of the MT systems involved in the WMT16 Shared Translation …

Consulting the best available evidence is key to successful conservation decision-making.
While much scientific evidence on conservation continues to be published in non-English …