Modeling Source Syntax for Neural Machine Translation
Table 2: Evaluation of alignment quality. The lower the score, the better the alignment quality.
['[BOLD] System', '[BOLD] AER']
Due to the capability of carrying syntactic information in source annotation vectors, we conjecture that our model with source syntax is also beneficial for alignment. We force the decoder to output reference translations, as to get automatic alignments between input sentences and their reference translations. To evaluate alignment performance, we report the alignment error rate (AER) Och and