MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora
Table 3: Zh-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', 'overall']
We used the same vocabulary file from the baseline model. The result shows that the pruned MWE pairs enhanced the model learning by producing improved 3-gram and 4-gram BLEU scores and yielding an overall higher score. This automatic score means that the MWE enhanced model can generally improve the chunk translation, i.e., the MT output sentences include more chunk of 3-gram and 4-grams words that match the reference sentences. Most likely, they are improved MWE translations.