Neural Machine Translation Training in a Multi-Domain Scenario
Table 5: Results of systems trained on a concatenation of selected data and on a concatenation of all available data
['[EMPTY]', '[BOLD] Arabic-English ALL', '[BOLD] Arabic-English Selected', '[BOLD] German-English ALL', '[BOLD] German-English Selected']
We concatenated the selected data and the in-domain data to train an NMT system. The selected system is worse than the ALL system. This shows that NMT is not as sensitive as phrase-based to the presence of the out-of-domain data.