The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task
2019-08-01WS 2019Unverified0· sign in to hype
Ra{\'u}l V{\'a}zquez, Umut Sulubacak, J{\"o}rg Tiedemann
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This paper describes the University of Helsinki Language Technology group's participation in the WMT 2019 parallel corpus filtering task. Our scores were produced using a two-step strategy. First, we individually applied a series of filters to remove the `bad' quality sentences. Then, we produced scores for each sentence by weighting these features with a classification model. This methodology allowed us to build a simple and reliable system that is easily adaptable to other language pairs.