Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search
Table 5: Effect of the threshold parameters on the hybrid approach on the e-commerce English→Russian task.
['[ITALIC] τfocus', '[ITALIC] τcov', 'Item descr. BLEU', 'Item descr. TER', 'Product descr. BLEU', 'Product descr. TER']
Tuning Again, we retune the system for each choice. Setting the coverage threshold to 1.0 or even disabling the coverage check (by setting τcov=∞) has little effect on the translation scores on this task. This can be explained by the fact that translation from English to Russian is mostly monotonic. We also tried varying the focus threshold τfocus between 0.0 and 0.3 but did not notice any significant effect on this task.