Never twice without thrice

In a blooper post from the French entries, I wrote about the difficulty of understanding the mistakes of machine translation now that they no longer work word by word or sentence by sentence. Their complex technology based on Big Data and artificial intelligence helps avoid the ridiculous bloopers of the past, but sometimes produces mysterious behaviours, like in the case below.

DeepL persists in tripling every double word! But why? Why?