Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Table 2: BLEU scores where the target pair’s parallel corpus is constrained to be 5%, 10%, 20% and 40% of the original size. We report the BLEU scores on the development and test sets (separated by /) by the single-pair model (Single), the single-pair model with monolingual corpus (Single+DF) and the proposed multi-way, multilingual model (Multi).
['[EMPTY]', 'Size', 'Single', 'Single+DF', 'Multi']
Low-Resource Translation This is true even when the single-pair model is strengthened with a target-side monolingual corpus (Single+DF). This suggests that the benefit of generalization from having multiple languages goes beyond that of simply having more target-side monolingual corpus. The performance gap grows as the size of target parallel corpus decreases.