Actually just by shuffling these characters you have a good chance to get some specious translations (adding a punctuation makes it more likely to generate a completed sentence): "祪癁番䔽䔽!" -> "I am so sick!" "獶獶祪灵癁癁癁!" -> "The soul is full of blood!"
For example, 'backdoor'.encode('ascii').decode('utf_16_le') == '慢正潤牯', which Google Translate turns into "Slow and positive", but it's just nonsense.
I say ҏӲҨЏ ҜъКѠ ЇЩіН гӞэѷ in "Russian", Google Translate says "Let's talk about it".
So equivalent English gibberish would be like "hast prank bibble done anut me me ions." Google translates this one to "对我而言,恶作剧已经完成了。" (To me, the prank has been done.) in Chinese -- very valid sentence, and "¿Me has hecho una broma a mí, Bibble?" in Spanish -- also seems valid.
I guess the model is (over) optimized to generate valid outputs. This can be a feature, so it still translates grammatically invalid but to some degree understandable text (like with typos or non-standard Internet language).