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Moses: Open Source Toolkit for Statistical Machine Translation
We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decoding, and (c)
Findings of the 2014 Workshop on Statistical Machine Translation
This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a separate medical translation task, a task for run-time estimation of machine translation
Findings of the 2013 Workshop on Statistical Machine Translation
We present the results of the WMT13 shared tasks, which included a translation task, a task for run-time estimation of machine translation quality, and an unofficial metrics task. This year, 143
Findings of the 2018 Conference on Machine Translation (WMT18)
This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2018. Participants were asked to build machine translation systems for any
Findings of the 2017 Conference on Machine Translation (WMT17)
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 run-time
Findings of the 2016 Conference on Machine Translation
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 evaluation tasks
Results of the WMT17 Metrics Shared Task
TLDR
This year, the WMT17 Metrics Shared Task build upon two types of manual judgements: direct assessment (DA) and HUME manual semantic judgements.
Findings of the 2019 Conference on Machine Translation (WMT19)
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
Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges
TLDR
The outputs of the translations systems competing in the WMT19 News Translation Task with automatic metrics were asked to score the outputs, and metrics were evaluated on the system level, how well a given metric correlates with the W MT19 official manual ranking, and segment level,How well the metrics correlates with human judgements of segment quality.
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