Every word has synonyms in specific context.
The athlete runs really “fast” => The athlete runs really "quick"
Is there a technical way using OpenNMT to make the decoder take this in consideration. I can use phrase_table to replace one by the other. But I prefer taking both choices and predict the best possible output .