Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task
Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, Gema Ramírez · 2018
This paper describes Prompsit Language Engineering's submissions to the WMT 2018 parallel corpus filtering shared task.Our four submissions were based on an automatic classifier for identifying pairs of sentences that are mutual translations.A set of hand-crafted hard rules for discarding sentences with evident flaws were applied before the classifier.We explored different strategies for achieving a training corpus with diverse vocabulary and fluent sentences: language model scoring, an active-learning-inspired data selection algorithm and n-gram saturation.Our submissions were very competitive in comparison with other participants on the 100 million word training corpus.