two thoughts on hofstadter’s take on AI translation in the Atlantic: 1. His examples are excellent and show ways in which languages is not just mastering syntax-lexicon-morphology code but requires real understanding of subject areas under discussion (and *not* under discussion)
If Google can’t pull it off it won’t be because they didn’t try to hard-code a knowledge base into the nets, but because they aren’t feeding it enough data, or data of the wrong type
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For example they will have very few translations of casual conversations and personal messages - especially not spoken convos Possible that modal written text has “haplax legomena” that are nonetheless frequent in verbal exchanges
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Could also be effects based on being unable to classify texts by generation - might be helpful to only use contemporary translations as targets, or at least distinguish between contemporary and modernized transl as two diff targets
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