Chinese Song Iambics Generation with Neural Attention-based Model
Table 4: BLEU-2 scores with different generation methods.
['Model', 'BLEU']
It can be seen that the BLEU results are highly consistent to the results of the subjective evaluation. A minor exception is that the SMT-based approach outperforms the RNNLM-based approach. A possible reason is that the BLEU metric focus on keyword co-occurrence rather than reasonable word sequence, which is therefore more amiable to the phrase-based SMT model that we used than RNN.