Learning to Stop in Structured Prediction for Neural Machine Translation
Table 5: BLEU and length ratio of models on Zh→En validation set. †indicates our own implementation.
['Model', 'Train', 'Decode', 'BLEU', 'Len.']
We compare our model with seq2seq, BSO and seq2seq with length reward Huang et al. (our proposed method does not require tuning of hyper-parameter). Fig. Our proposed model comparatively achieves better length ratio on almost all source sentence length in dev-set.