Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering
Philipp Koehn, Huda Khayrallah, Kenneth Heafield, Mikel L. Forcada · 2018
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.