eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing

eSCAPE

Training of Automatic Post-editing models based on (source, reference and target)
Set of 7,258,533 English-German and 3,357,371 English-Italian triplets (source, target and reference). For each language pair, the data set is available in two versions: one, where the target segments are produced by aRead More

You don’t have the permission to edit this resource.