Generative Neural Machine Translation
Table 4: Test set BLEU scores for missing word translation. We use the model parameters trained with 4M paired sentences.
['System', 'EN → ES', 'ES → EN', 'EN → FR', 'FR → EN', 'ES → FR', 'FR → ES']
4.3.2 Missing word translation In order to demonstrate that GNMT does indeed learn a useful representation of the sentence’s semantic meaning, we perform missing word translation (i.e. where the source sentence has missing words). The model is forced to rely on its learned representation in order to infer what the missing words could be, and then to produce a good translation accordingly.