Matteo Negri, Marco Turchi, Rajen Chatterjee, Nicola Bertoldi &ndash; Fondazione Bruno Kessler, Trento, Italy; University of Trento, Italy
eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing
Fondazione Bruno Kessler, Trento, Italy; University of Trento, Italy
nlp/machine-translation
A widely used resource, described in (Junczys-Dowmunt and Grundkiewicz, 2016), was included in the training set of the winning (and almost all) submissions to the last two English–German rounds of the APE task at WMT (IT domain). It consists of 4.3 million instances created by first filtering a subset of IT-related sentences from the German Common Crawl corpus⁶, and then by using two English–German and German–English PBMT systems trained on in-domain IT corpora for a round-trip translation of the selected sentences (De → En → De).