MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing
Table 1: Experiments with WMT 2017 data, correcting a phrase-base system.
['Model', 'dev 2016  [BOLD] TER↓', 'dev 2016 BLEU↑', 'test 2016  [BOLD] TER↓', 'test 2016 BLEU↑', 'test 2017  [BOLD] TER↓', 'test 2017 BLEU↑']
During the WMT2017 APE shared task we submitted a dual-source model with soft and hard attention which placed second right after a very similar dual-source model by the FBK team. FBK and WMT17:AMU (ours). An ensemble of four identical models trained with different random initializations strongly improves over last year’s best models on all indicators.