Jointly Learning to Align and Translate with Transformer Models
Table 1: Number of sentences for three datasets: German→English (DeEn), Romanian→English (RoEn) and English→French (EnFr). The datasets include training data and test data with gold alignments.
['[EMPTY]', 'DeEn', 'RoEn', 'EnFr']
The purpose of the this task is to fairly compare with state-of-the-art results in terms of alignment quality and perform a hyperparameter search. We use the same experimental setup as described in Zenkel et al. Training data and test data for Romanian→English and English→French are provided by the NAACL’03 Building and Using Parallel Texts word alignment shared task The Romanian→English training data are augmented by the Europarl v8 corpus increasing the amount of parallel sentences from 49k to 0.4M.