I am using stochastic parrot in the sense that since models are mainly trained on codebases of Latin characters, their coding strength reflects on the "goodness" of the codebases that were fed to them. More Latin codebases, better English coding performance. I am assuming from the paper, that when prompting in Chinese, the generated code is in Chinese for as much as possible (imported libs etc.).

Even if we didn't know french, it is straightforward to use deterministic tools (I.e. a dictionary) to parse the instruction, writing out the code in English, then refactor as many words as possible to french. The paper did not give any indication that this was happening (would be a novel result indeed) and so I would have to conclude that it is running like a stochastic parrot, more English codebase, better performance in English only.