%0 Conference Proceedings
%T Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering
%A Koehn, Philipp
%A Khayrallah, Huda
%A Heafield, Kenneth
%A Forcada, Mikel L.
%Y Bojar, Ondřej
%Y Chatterjee, Rajen
%Y Federmann, Christian
%Y Fishel, Mark
%Y Graham, Yvette
%Y Haddow, Barry
%Y Huck, Matthias
%Y Yepes, Antonio Jimeno
%Y Koehn, Philipp
%Y Monz, Christof
%Y Negri, Matteo
%Y Névéol, Aurélie
%Y Neves, Mariana
%Y Post, Matt
%Y Specia, Lucia
%Y Turchi, Marco
%Y Verspoor, Karin
%S Proceedings of the Third Conference on Machine Translation: Shared Task Papers
%D 2018
%8 October
%I Association for Computational Linguistics
%C Belgium, Brussels
%F koehn-etal-2018-findings
%X We posed the shared task of assigning sentence-level quality scores for a very noisy corpus of sentence pairs crawled from the web, with the goal of sub-selecting 1% and 10% of high-quality data to be used to train machine translation systems. Seventeen participants from companies, national research labs, and universities participated in this task.
%R 10.18653/v1/W18-6453
%U https://aclanthology.org/W18-6453
%U https://doi.org/10.18653/v1/W18-6453
%P 726-739