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Just piggybacking on this - it was interesting seeing Finnish, Hungarian and Polish documents in the samples. I sent them to a couple of friends and so far as they could tell, they were all grammatically correct and made complete sense. Apparently the few-shot translation test isn't reflecting its true performance in non-English languages. I'm wondering whether the model has learned deeper linguistic structures common to all the languages in the training dataset. Would the OpenAI team be able to prompt the model with some of the rarer languages that appear in CommonCrawl so we can see more examples? This page translates short phrases into lots of different languages at once, in case that's useful. Anyway, really fascinating stuff :)
P.S: GPT-2-1.5b gave interesting results when I prompted it with constructed languages like Esperanto and dead languages like Gothic - it usually produced samples with grammatically-correctish sentences with plausible but gibberish words. Not sure whether GPT-3 would do anything differently.
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