Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering

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.

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