The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task
Raúl Vázquez, Umut Sulubacak, Jörg Tiedemann · 2019
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.