Translating Phrases in Neural Machine Translation
Table 6: Translation performance with a variety of balancing weight strategies. “Dynamic” is the proposed approach and “Constant (λ=0.1)” denotes fixing the balancing weight to 0.1. BLEU scores in the table are case insensitive.
['Weight', 'Test']
The balancer which is used to coordinate the phrase generation and word generation is very crucial for the proposed model. We conducted an additional experiment to validate the effectiveness of the neural network based balancer. We use the setting “+memory +chunking tag” as baseline system to conduct the experiments. This demonstrates that the neural network based balancer is an essential component for the proposed model.