MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora
Table 2: De-2-En NMT BLEU Scores with 20k Transformer Learning Steps.
['models', 'n-gram scores 1-gram', 'n-gram scores 2-gram', 'n-gram scores 3-gram', 'n-gram scores 4-gram', 'Params BP', 'Params ratio', 'Combine overall']
This result shows that even though in most n-gram matching the Baseline achieved better scores, the overall BLEU score is lower than the MWE+NMT case. This is due to the Brevity-Penalty (BP) parameter and ratio factors, which means that the MWE+NMT model produced more reference like output than the Baseline model.