Interesting, thanks for the detailed write up.

> The translation of the first sentence conveys the meaning but changes the date from February 7 to October 7 and drops the year.

Like discussed earlier in this thread Argos Translate tokenizes the incoming text into what are essentially words and then passes them to the Transformer network. For situations where the risks of translations that are fluid and seem reasonable but are totally wrong is high neural translation might not make sense even though the quality is generally higher. Instead you would probably want to use rule-based translations like what the Apertium project does.