Towards one-shot learning for rare-word translation with external experts
Table 4: Performances w.r.t to different alpha values. Metrics shown are BLEU (BL), ACCURACY (AC) and SUGGESTION (SUG)
['[ITALIC] α', '[BOLD] tst2010  [BOLD] BL', '[BOLD] tst2010  [BOLD] AC', '[BOLD] tst2010  [BOLD] SUG', '[BOLD] BusinessTest  [BOLD] BL', '[BOLD] BusinessTest  [BOLD] AC', '[BOLD] BusinessTest  [BOLD] SUG']
Higher α values emphasize the signal to copy the source annotation, as can be seen from the increase in terms of Accuracy and Suggestion utilization across the values. As expected, as α goes toward 1.0, the model gradually loses the signal needed to maintain translation quality and finally diverges.