Chunk-Based Bi-Scale Decoder for Neural Machine Translation
Table 3: Accuracies of predicted chunk boundary and chunk label.
['[EMPTY]', 'MT02', 'MT03', 'MT04', 'MT05']
We find that the chunk boundary could be predicted well, with an average accuracy of 89%, which shows that our model could capture the phrasal boundary information in the translation process. However, our model could not predict chunk labels as well as chunk boundaries. We speculate that more syntactic context features should be added to improve the performance of predicting chunk labels.