Sequence-to-Sequence Learning as Beam-Search Optimization
Table 2: Beam-size experiments on word ordering development set. All numbers reflect training with constraints (ConBSO).
['[EMPTY]', 'Word Ordering Beam Size (BLEU)  [ITALIC] Kte = 1', 'Word Ordering Beam Size (BLEU)  [ITALIC] Kte = 5', 'Word Ordering Beam Size (BLEU)  [ITALIC] Kte = 10']
We see that larger Ktr hurt greedy inference, but that results continue to improve, at least initially, when using a Kte that is (somewhat) bigger than Ktr−1.