English-Japanese Neural Machine Translation with Encder-Decoder-Reconstructor
Table 5: Numbers of redundant and unknown word tokens.
['Corpus', 'Model', 'English-Japanese (i)', 'English-Japanese (ii)', 'English-Japanese (iii)', 'Japanese-English (i)', 'Japanese-English (ii)', 'Japanese-English (iii)']
The columns show (i) the number of words that appear more frequently than the counterparts in the reference, and (ii) the number of words that appear more than once but are not included in the reference. Note that these numbers do not include unknown words, so (iii) shows the number of unknown words. In all the cases, the number of occurrence of redundant words is reduced in encoder-decoder-reconstructor. Thus, we confirmed that encoder-decoder-reconstructor achieves reduction of repeating and missing words while maintaining the quality of translation.