Tree-to-Sequence Attentional Neural Machine Translation
Table 5: Effects of the sequential LSTMs in our proposed tree-based encoder on the development data.
['[EMPTY]', 'RIBES', 'BLEU']
We also investigated the effects of the sequential LSTMs at the leaf nodes in our proposed tree-based encoder. The results show that our proposed encoder considerably outperforms the encoder without sequential LSTMs, suggesting that the sequential LSTMs at the leaf nodes contribute to the context-aware construction of the phrase representations in the tree.