Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage
Table 9: The BLEU-4 score of the translation of the stabilizer against the caption treated as the reference.
['[EMPTY]', 'Fr', 'It', 'De', 'Es', 'Hi']
So far, we have verified that both the target-language Caption and the Stabilizer English outputs for the PLuGS-2L models are better compared to the alternative ways of producing them. Additionally, we want to check whether the Stabilizer and the target-language Caption are actually translations of each other, and not just independently good captions associated with the input image. The high BLEU scores are indeed confirming that the Caption outputs are close translations of the Stabilizer English outputs. This allows us to conclude that PLuGS models are indeed performing the double-duty of captioning and translation.