In this paper we present VERTa, a linguistically-motivated metric that combines linguistic features at different levels. We provide the linguistic motivation on which the metric is based, as well as describe the different modules in VERTa and how they are combined. Finally, we describe the two versions of VERTa, VERTa-EQ and VERTa-W, sent to WMT14 and report results obtained in the experiments conducted with the WMT12 and WMT13 data into English.
This paper describes VERTa's submission to the 2015 EMNLP Workshop on Statistical Machine Translation. VERTa is a linguistically-motivated metric that combines linguistic features at different levels. In this paper, VERTa is described briefly, as well as the three versions submitted to the workshop: VERTa-70Adeq30Flu, VERTa-EQ and VERTa-W. Finally, the experiments conducted with the WMT14 data are reported and some conclusions are drawn.
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