Chunk-Based Bi-Scale Decoder for Neural Machine Translation
Table 1: BLEU scores for different systems.
['System', 'MT02', 'MT03', 'MT04', 'MT05', 'Ave.']
For Moses, we use the default configuration with a 4-gram language model trained on the target portion of the training data. Our model gives a 1.6 BLEU score improvement upon the standard NMT baseline (dl4mt). We conduct experiment with dl4mt-2 to see whether the neural NMT system can model the bi-scale components with different varying speeds automatically. Surprisingly, we find that dl4mt-2 obtains lower BLEU scores than dl4mt. We speculate that the more complex model dl4mt-2 may need more training data for obtaining reasonable results.